gao/analyseScript
1
0
Fork 0
Code Issues Pull Requests repo.project_board Releases Wiki Activity
eb924fa05e
analyseScript/Example.ipynb

5906 lines
1.9 MiB
Plaintext
Raw Normal View History

The first working version
2023-05-07 23:41:31 +02:00
{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Import supporting package"
]
},
{
"cell_type": "code",
Implentment new function
2023-05-16 15:51:13 +02:00
"execution_count": 1,
The first working version
2023-05-07 23:41:31 +02:00
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr\n",
"import numpy as np\n",
"\n",
"from uncertainties import ufloat\n",
"from uncertainties import unumpy as unp\n",
"from uncertainties import umath\n",
"\n",
"import matplotlib.pyplot as plt\n",
"\n",
"from DataContainer.ReadData import read_hdf5_file\n",
"from Analyser.ImagingAnalyser import ImageAnalyser\n",
"from Analyser.FitAnalyser import FitAnalyser\n",
debug
2023-05-24 16:54:29 +02:00
"from Analyser.FitAnalyser import ThomasFermi2dModel, DensityProfileBEC2dModel, Polylog22dModel\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"from Analyser.FitAnalyser import NewFitModel\n",
The first working version
2023-05-07 23:41:31 +02:00
"from ToolFunction.ToolFunction import *\n",
"\n",
"from ToolFunction.HomeMadeXarrayFunction import errorbar, dataarray_plot_errorbar\n",
"xr.plot.dataarray_plot.errorbar = errorbar\n",
"xr.plot.accessor.DataArrayPlotAccessor.errorbar = dataarray_plot_errorbar\n",
"\n",
"imageAnalyser = ImageAnalyser()"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Start a client for parallel computing"
]
},
{
"cell_type": "code",
Implentment new function
2023-05-16 15:51:13 +02:00
"execution_count": 2,
The first working version
2023-05-07 23:41:31 +02:00
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
debug
2023-06-02 18:42:18 +02:00
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-fc3843c8-fadb-11ed-a51c-80e82ce2fa8e</p>\n",
The first working version
2023-05-07 23:41:31 +02:00
" <table style=\"width: 100%; text-align: left;\">\n",
"\n",
" <tr>\n",
" \n",
" <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
" <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
" \n",
" </tr>\n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-05-24 16:54:29 +02:00
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
"\n",
" \n",
"\n",
" \n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
" <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
" </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
debug
2023-06-02 18:42:18 +02:00
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">e14d6635</p>\n",
The first working version
2023-05-07 23:41:31 +02:00
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-05-24 16:54:29 +02:00
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 6\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 60\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 55.88 GiB\n",
" </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
" <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
"</tr>\n",
"\n",
" \n",
" </table>\n",
"\n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
" </summary>\n",
"\n",
" <div style=\"\">\n",
" <div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
debug
2023-06-02 18:42:18 +02:00
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-3866362b-3b45-437d-8937-ad32036a1238</p>\n",
The first working version
2023-05-07 23:41:31 +02:00
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Comm:</strong> tcp://127.0.0.1:63013\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 6\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-05-24 16:54:29 +02:00
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 60\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Started:</strong> Just now\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 55.88 GiB\n",
" </td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"\n",
" <details style=\"margin-left: 48px;\">\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Workers</h3>\n",
" </summary>\n",
"\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Comm: </strong> tcp://127.0.0.1:63049\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:63050/status\" target=\"_blank\">http://127.0.0.1:63050/status</a>\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Nanny: </strong> tcp://127.0.0.1:63016\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-sv8_3syy\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Comm: </strong> tcp://127.0.0.1:63040\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:63041/status\" target=\"_blank\">http://127.0.0.1:63041/status</a>\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Nanny: </strong> tcp://127.0.0.1:63017\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-pmp8t7_h\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Comm: </strong> tcp://127.0.0.1:63044\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:63045/status\" target=\"_blank\">http://127.0.0.1:63045/status</a>\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Nanny: </strong> tcp://127.0.0.1:63018\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-d9qbkuuf\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Comm: </strong> tcp://127.0.0.1:63052\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:63053/status\" target=\"_blank\">http://127.0.0.1:63053/status</a>\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Nanny: </strong> tcp://127.0.0.1:63019\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-eofele_q\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Comm: </strong> tcp://127.0.0.1:63055\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:63056/status\" target=\"_blank\">http://127.0.0.1:63056/status</a>\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Nanny: </strong> tcp://127.0.0.1:63020\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-lzt58yq9\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Comm: </strong> tcp://127.0.0.1:63043\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:63047/status\" target=\"_blank\">http://127.0.0.1:63047/status</a>\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Nanny: </strong> tcp://127.0.0.1:63021\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
debug
2023-06-02 18:42:18 +02:00
" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-wu5l2cny\n",
The first working version
2023-05-07 23:41:31 +02:00
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
"\n",
" </details>\n",
"</div>\n",
"\n",
" </details>\n",
" </div>\n",
"</div>\n",
" </details>\n",
" \n",
"\n",
" </div>\n",
"</div>"
],
"text/plain": [
debug
2023-06-02 18:42:18 +02:00
"<Client: 'tcp://127.0.0.1:63013' processes=6 threads=60, memory=55.88 GiB>"
The first working version
2023-05-07 23:41:31 +02:00
]
},
Implentment new function
2023-05-16 15:51:13 +02:00
"execution_count": 2,
The first working version
2023-05-07 23:41:31 +02:00
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from dask.distributed import Client\n",
"client = Client(n_workers=6, threads_per_worker=10, processes=True, memory_limit='10GB')\n",
"client"
]
},
{
regular backup
2023-05-08 17:48:53 +02:00
"attachments": {},
The first working version
2023-05-07 23:41:31 +02:00
"cell_type": "markdown",
"metadata": {},
"source": [
"## Set global path for experiment"
]
},
{
"cell_type": "code",
Implentment new function
2023-05-16 15:51:13 +02:00
"execution_count": 3,
The first working version
2023-05-07 23:41:31 +02:00
"metadata": {},
"outputs": [],
"source": [
"groupList = [\n",
" \"images/MOT_3D_Camera/in_situ_absorption\",\n",
regular backup
2023-05-08 17:48:53 +02:00
" \"images/ODT_1_Axis_Camera/in_situ_absorption\",\n",
" \"images/ODT_2_Axis_Camera/in_situ_absorption\",\n",
The first working version
2023-05-07 23:41:31 +02:00
"]\n",
"\n",
"dskey = {\n",
" \"images/MOT_3D_Camera/in_situ_absorption\": \"camera_1\",\n",
regular backup
2023-05-08 17:48:53 +02:00
" \"images/ODT_1_Axis_Camera/in_situ_absorption\": \"camera_2\",\n",
" \"images/ODT_2_Axis_Camera/in_situ_absorption\": \"camera_3\",\n",
The first working version
2023-05-07 23:41:31 +02:00
"}\n"
]
},
{
"cell_type": "code",
Implentment new function
2023-05-16 15:51:13 +02:00
"execution_count": 4,
The first working version
2023-05-07 23:41:31 +02:00
"metadata": {},
"outputs": [],
"source": [
regular backup
2023-05-08 17:48:53 +02:00
"img_dir = '//DyLabNAS/Data/'\n",
debug
2023-05-24 16:54:29 +02:00
"SequenceName = \"Evaporative_Cooling\" + \"/\"\n",
debug
2023-06-02 18:42:18 +02:00
"folderPath = img_dir + SequenceName + '2023/05/25'# get_date()"
The first working version
2023-05-07 23:41:31 +02:00
]
},
{
regular backup
2023-05-08 17:48:53 +02:00
"attachments": {},
The first working version
2023-05-07 23:41:31 +02:00
"cell_type": "markdown",
"metadata": {},
"source": [
"# An example for one experimental run"
]
},
{
regular backup
2023-05-08 17:48:53 +02:00
"attachments": {},
The first working version
2023-05-07 23:41:31 +02:00
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load the data"
]
},
regular backup
2023-05-19 18:52:33 +02:00
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
debug
2023-06-02 18:42:18 +02:00
"Dimensions: (runs: 20, y: 1200, x: 1920)\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"Coordinates:\n",
debug
2023-06-02 18:42:18 +02:00
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0 ... 15.0 16.0 17.0 18.0 19.0\n",
debug
2023-05-24 16:54:29 +02:00
"Dimensions without coordinates: y, x\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"Data variables:\n",
debug
2023-06-02 18:42:18 +02:00
" atoms (runs, y, x) uint16 dask.array&lt;chunksize=(20, 1200, 1920), meta=np.ndarray&gt;\n",
" background (runs, y, x) uint16 dask.array&lt;chunksize=(20, 1200, 1920), meta=np.ndarray&gt;\n",
" dark (runs, y, x) uint16 dask.array&lt;chunksize=(20, 1200, 1920), meta=np.ndarray&gt;\n",
" shotNum (runs) int64 dask.array&lt;chunksize=(20,), meta=np.ndarray&gt;\n",
" OD (runs, y, x) float64 dask.array&lt;chunksize=(20, 1200, 1920), meta=np.ndarray&gt;\n",
regular backup
2023-05-19 18:52:33 +02:00
"Attributes: (12/120)\n",
debug
2023-05-24 16:54:29 +02:00
" TOF_free: 0.022\n",
regular backup
2023-05-19 18:52:33 +02:00
" abs_img_freq: 110.858\n",
" absorption_imaging_flag: True\n",
" backup_data: True\n",
" blink_off_time: 0.001\n",
" blink_on_time: 0.001\n",
" ... ...\n",
debug
2023-06-02 18:42:18 +02:00
" y_offset_img: 0\n",
regular backup
2023-05-19 18:52:33 +02:00
" z_offset: 0.189\n",
" z_offset_img: 0.189\n",
debug
2023-06-02 18:42:18 +02:00
" runs: [ 0. 1. 2. 3. 4. 5. 6. 7. 8. ...\n",
" scanAxis: [&#x27;runs&#x27;]\n",
" scanAxisLength: [20.]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-af26bd6a-b2b0-4c1f-b0be-5cf18f574b11' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af26bd6a-b2b0-4c1f-b0be-5cf18f574b11' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>runs</span>: 20</li><li><span>y</span>: 1200</li><li><span>x</span>: 1920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7b2cf2b6-e9b0-4d18-abcc-5ebd11a82be5' class='xr-section-summary-in' type='checkbox' checked><label for='section-7b2cf2b6-e9b0-4d18-abcc-5ebd11a82be5' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>runs</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 17.0 18.0 19.0</div><input id='attrs-b4192b24-09c3-4763-8d23-9465e5b99bab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b4192b24-09c3-4763-8d23-9465e5b99bab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d82724f0-4af6-493f-a289-3b9c4543bbdb' class='xr-var-data-in' type='checkbox'><label for='data-d82724f0-4af6-493f-a289-3b9c4543bbdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13.,\n",
" 14., 15., 16., 17., 18., 19.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-61e20b2b-dee5-420c-9894-590ee4850652' class='xr-section-summary-in' type='checkbox' checked><label for='section-61e20b2b-dee5-420c-9894-590ee4850652' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>atoms</span></div><div class='xr-var-dims'>(runs, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(20, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-967e3ce3-eb7b-4f64-80e4-da89b1fc3a1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-967e3ce3-eb7b-4f64-80e4-da89b1fc3a1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1ed8e83-7671-46c2-a568-640aecb4ff95' class='xr-var-data-in' type='checkbox'><label for='data-c1ed8e83-7671-46c2-a568-640aecb4ff95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
regular backup
2023-05-19 18:52:33 +02:00
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td> 87.89 MiB </td>\n",
" <td> 87.89 MiB </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td> (20, 1200, 1920) </td>\n",
" <td> (20, 1200, 1920) </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td colspan=\"2\"> 1 chunks in 62 graph layers </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
debug
2023-05-24 16:54:29 +02:00
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
debug
2023-06-02 18:42:18 +02:00
" <svg width=\"195\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"25\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"75\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"10.0,0.0 25.064196541853565,15.064196541853565 25.064196541853565,90.06419654185356 10.0,75.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"25\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"10.0,0.0 130.0,0.0 145.06419654185356,15.064196541853565 25.064196541853565,15.064196541853565\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"90\" x2=\"145\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
" <line x1=\"145\" y1=\"15\" x2=\"145\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"25.064196541853565,15.064196541853565 145.06419654185356,15.064196541853565 145.06419654185356,90.06419654185356 25.064196541853565,90.06419654185356\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Text -->\n",
debug
2023-06-02 18:42:18 +02:00
" <text x=\"85.064197\" y=\"110.064197\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n",
" <text x=\"165.064197\" y=\"52.564197\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,165.064197,52.564197)\">1200</text>\n",
" <text x=\"7.532098\" y=\"102.532098\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.532098,102.532098)\">20</text>\n",
regular backup
2023-05-19 18:52:33 +02:00
"</svg>\n",
" </td>\n",
" </tr>\n",
debug
2023-06-02 18:42:18 +02:00
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>background</span></div><div class='xr-var-dims'>(runs, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(20, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-7ab9e710-2ddb-4171-9175-9e410c10655b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ab9e710-2ddb-4171-9175-9e410c10655b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b980688-69e3-4630-a2e3-ad5188da22b3' class='xr-var-data-in' type='checkbox'><label for='data-7b980688-69e3-4630-a2e3-ad5188da22b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
regular backup
2023-05-19 18:52:33 +02:00
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td> 87.89 MiB </td>\n",
" <td> 87.89 MiB </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td> (20, 1200, 1920) </td>\n",
" <td> (20, 1200, 1920) </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td colspan=\"2\"> 1 chunks in 62 graph layers </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
debug
2023-05-24 16:54:29 +02:00
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
debug
2023-06-02 18:42:18 +02:00
" <svg width=\"195\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
regular backup
2023-05-19 18:52:33 +02:00
"\n",
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"25\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"75\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"10.0,0.0 25.064196541853565,15.064196541853565 25.064196541853565,90.06419654185356 10.0,75.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"25\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"10.0,0.0 130.0,0.0 145.06419654185356,15.064196541853565 25.064196541853565,15.064196541853565\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"90\" x2=\"145\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
" <line x1=\"145\" y1=\"15\" x2=\"145\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"25.064196541853565,15.064196541853565 145.06419654185356,15.064196541853565 145.06419654185356,90.06419654185356 25.064196541853565,90.06419654185356\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Text -->\n",
debug
2023-06-02 18:42:18 +02:00
" <text x=\"85.064197\" y=\"110.064197\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n",
" <text x=\"165.064197\" y=\"52.564197\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,165.064197,52.564197)\">1200</text>\n",
" <text x=\"7.532098\" y=\"102.532098\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.532098,102.532098)\">20</text>\n",
regular backup
2023-05-19 18:52:33 +02:00
"</svg>\n",
" </td>\n",
" </tr>\n",
debug
2023-06-02 18:42:18 +02:00
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dark</span></div><div class='xr-var-dims'>(runs, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(20, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-0256495d-875f-49d1-a8dd-ad1daa6e904a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0256495d-875f-49d1-a8dd-ad1daa6e904a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b9c07d8-400c-4417-be90-a857c7e08c0a' class='xr-var-data-in' type='checkbox'><label for='data-9b9c07d8-400c-4417-be90-a857c7e08c0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
regular backup
2023-05-19 18:52:33 +02:00
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td> 87.89 MiB </td>\n",
" <td> 87.89 MiB </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td> (20, 1200, 1920) </td>\n",
" <td> (20, 1200, 1920) </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td colspan=\"2\"> 1 chunks in 62 graph layers </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
debug
2023-05-24 16:54:29 +02:00
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
debug
2023-06-02 18:42:18 +02:00
" <svg width=\"195\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"25\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"75\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"10.0,0.0 25.064196541853565,15.064196541853565 25.064196541853565,90.06419654185356 10.0,75.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"25\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"10.0,0.0 130.0,0.0 145.06419654185356,15.064196541853565 25.064196541853565,15.064196541853565\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"90\" x2=\"145\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
" <line x1=\"145\" y1=\"15\" x2=\"145\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"25.064196541853565,15.064196541853565 145.06419654185356,15.064196541853565 145.06419654185356,90.06419654185356 25.064196541853565,90.06419654185356\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Text -->\n",
debug
2023-06-02 18:42:18 +02:00
" <text x=\"85.064197\" y=\"110.064197\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n",
" <text x=\"165.064197\" y=\"52.564197\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,165.064197,52.564197)\">1200</text>\n",
" <text x=\"7.532098\" y=\"102.532098\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.532098,102.532098)\">20</text>\n",
regular backup
2023-05-19 18:52:33 +02:00
"</svg>\n",
" </td>\n",
" </tr>\n",
debug
2023-06-02 18:42:18 +02:00
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>shotNum</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(20,), meta=np.ndarray&gt;</div><input id='attrs-4d5ab9aa-e624-446a-8760-b6e00e5be2a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4d5ab9aa-e624-446a-8760-b6e00e5be2a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ac10981-dc0e-4225-b867-50ec5b9241f9' class='xr-var-data-in' type='checkbox'><label for='data-8ac10981-dc0e-4225-b867-50ec5b9241f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
regular backup
2023-05-19 18:52:33 +02:00
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td> 160 B </td>\n",
" <td> 160 B </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td> (20,) </td>\n",
" <td> (20,) </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
debug
2023-05-24 16:54:29 +02:00
" <td colspan=\"2\"> int64 numpy.ndarray </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
debug
2023-06-02 18:42:18 +02:00
" <svg width=\"170\" height=\"84\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"0\" y1=\"34\" x2=\"120\" y2=\"34\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"34\" style=\"stroke-width:2\" />\n",
" <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"34\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"0.0,0.0 120.0,0.0 120.0,34.50101617379934 0.0,34.50101617379934\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Text -->\n",
debug
2023-06-02 18:42:18 +02:00
" <text x=\"60.000000\" y=\"54.501016\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >20</text>\n",
" <text x=\"140.000000\" y=\"17.250508\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,17.250508)\">1</text>\n",
regular backup
2023-05-19 18:52:33 +02:00
"</svg>\n",
" </td>\n",
" </tr>\n",
debug
2023-06-02 18:42:18 +02:00
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OD</span></div><div class='xr-var-dims'>(runs, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(20, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-7525f468-2004-4ed0-8fe8-ffd88f02f158' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7525f468-2004-4ed0-8fe8-ffd88f02f158' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6dce20c-3b4b-4b5c-87e9-486cd4a70dc6' class='xr-var-data-in' type='checkbox'><label for='data-b6dce20c-3b4b-4b5c-87e9-486cd4a70dc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
regular backup
2023-05-19 18:52:33 +02:00
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td> 351.56 MiB </td>\n",
" <td> 351.56 MiB </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td> (20, 1200, 1920) </td>\n",
" <td> (20, 1200, 1920) </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
debug
2023-06-02 18:42:18 +02:00
" <td colspan=\"2\"> 1 chunks in 196 graph layers </td>\n",
regular backup
2023-05-19 18:52:33 +02:00
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
debug
2023-06-02 18:42:18 +02:00
" <svg width=\"195\" height=\"140\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"25\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"75\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"10.0,0.0 25.064196541853565,15.064196541853565 25.064196541853565,90.06419654185356 10.0,75.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"10\" y1=\"0\" x2=\"25\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"10.0,0.0 130.0,0.0 145.06419654185356,15.064196541853565 25.064196541853565,15.064196541853565\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Horizontal lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
" <line x1=\"25\" y1=\"90\" x2=\"145\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Vertical lines -->\n",
debug
2023-06-02 18:42:18 +02:00
" <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"90\" style=\"stroke-width:2\" />\n",
" <line x1=\"145\" y1=\"15\" x2=\"145\" y2=\"90\" style=\"stroke-width:2\" />\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
regular backup
2023-05-19 18:52:33 +02:00
" <!-- Colored Rectangle -->\n",
debug
2023-06-02 18:42:18 +02:00
" <polygon points=\"25.064196541853565,15.064196541853565 145.06419654185356,15.064196541853565 145.06419654185356,90.06419654185356 25.064196541853565,90.06419654185356\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
regular backup
2023-05-19 18:52:33 +02:00
"\n",
" <!-- Text -->\n",
debug
2023-06-02 18:42:18 +02:00
" <text x=\"85.064197\" y=\"110.064197\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n",
" <text x=\"165.064197\" y=\"52.564197\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,165.064197,52.564197)\">1200</text>\n",
" <text x=\"7.532098\" y=\"102.532098\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.532098,102.532098)\">20</text>\n",
regular backup
2023-05-19 18:52:33 +02:00
"</svg>\n",
" </td>\n",
" </tr>\n",
debug
2023-06-02 18:42:18 +02:00
"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-aaf4dd43-ee0c-490a-bc7c-eadeddae23de' class='xr-section-summary-in' type='checkbox' ><label for='section-aaf4dd43-ee0c-490a-bc7c-eadeddae23de' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9b1a6ac9-2455-496a-a909-705374702e65' class='xr-index-data-in' type='checkbox'/><label for='index-9b1a6ac9-2455-496a-a909-705374702e65' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0,\n",
" 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;runs&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b39e62c8-9f9d-44d3-a4de-e0328f398587' class='xr-section-summary-in' type='checkbox' ><label for='section-b39e62c8-9f9d-44d3-a4de-e0328f398587' class='xr-section-summary' >Attributes: <span>(120)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TOF_free :</span></dt><dd>0.022</dd><dt><span>abs_img_freq :</span></dt><dd>110.858</dd><dt><span>absorption_imaging_flag :</span></dt><dd>True</dd><dt><span>backup_data :</span></dt><dd>True</dd><dt><span>blink_off_time :</span></dt><dd>0.001</dd><dt><span>blink_on_time :</span></dt><dd>0.001</dd><dt><span>c_duration :</span></dt><dd>0.2</dd><dt><span>carrier_amp :</span></dt><dd>3</dd><dt><span>carrier_freq :</span></dt><dd>nan</dd><dt><span>carrier_offset :</span></dt><dd>0</dd><dt><span>carrier_phase :</span></dt><dd>0</dd><dt><span>channel_in_use :</span></dt><dd>1</dd><dt><span>cmot_final_current :</span></dt><dd>0.65</dd><dt><span>cmot_hold :</span></dt><dd>0.06</dd><dt><span>cmot_initial_current :</span></dt><dd>0.18</dd><dt><span>compX_current :</span></dt><dd>0</dd><dt><span>compX_current_sg :</span></dt><dd>0.0</dd><dt><span>compX_final_current :</span></dt><dd>0.001</dd><dt><span>compX_initial_current :</span></dt><dd>0</dd><dt><span>compY_current :</span></dt><dd>0</dd><dt><span>compY_current_sg :</span></dt><dd>0.0</dd><dt><span>compY_final_current :</span></dt><dd>0.0</dd><dt><span>compY_initial_current :</span></dt><dd>0</dd><dt><span>compZ_current :</span></dt><dd>0</dd><dt><span>compZ_current_sg :</span></dt><dd>0.189</dd><dt><span>compZ_final_current :</span></dt><dd>0.264</dd><dt><span>compZ_initial_current :</span></dt><dd>0</dd><dt><span>default_camera :</span></dt><dd>0</dd><dt><span>deltaf :</span></dt><dd>0.021</dd><dt><span>evap_1_arm_1_final_pow :</span></dt><dd>0.35</dd><dt><span>evap_1_arm_1_mod_depth_final :</span></dt><dd>0</dd><dt><span>evap_1_arm_1_mod_depth_initial :</span></dt><dd>1.0</dd><dt><span>evap_1_arm_1_mod_ramp_duration :</span></dt><dd>1.15</dd><dt><span>evap_1_arm_1_pow_ramp_duration :</span></dt><dd>1.65</dd><dt><span>evap_1_arm_1_start_pow :</span></dt><dd>7</dd><dt><span>evap_1_arm_2_final_pow :</span></dt><dd>5</dd><dt><span>evap_1_arm_2_ramp_duration :</span></dt><dd>0.5</dd><dt><span>evap_1_arm_2_start_pow :</span></dt><dd>0</dd><dt><span>evap_1_mod_ramp_trunc_value :</span></dt><dd>1</dd><dt><span>evap_1_pow_ramp_trunc_value :</span></dt><dd>1.0</dd><dt><span>evap_1_rate_constant_1 :</span></dt><dd>0.525</dd><dt><span>evap_1_rate_constant_2 :</span></dt><dd>0.51</dd><dt><span>evap_2_arm_1_final_pow :</span></dt><dd>0.037</dd><dt><span>evap_2_arm_1_start_pow :</span></dt><dd>0.35</dd><dt><span>evap_2_arm_2_final_pow :</span></dt><dd>0.09</dd><dt><span>evap_2_arm_2_start_pow :</span></dt><dd>5</dd><dt><span>evap_2_ramp_duration :</span></dt><dd>1.0</dd><dt><span>evap_2_ramp_trunc_value :</span></dt><dd>1.0</dd><dt><span>evap_2_rate_constant_1 :</span></dt><dd>0.37</dd><dt><span>evap_2_rate_constant_2 :</span></dt><dd>0.71</dd><dt><span>evap_3_arm_1_final_pow :</span></dt><dd>0.1038</dd><dt><span>evap_3_arm_1_mod_depth_final :</span></dt><dd>0.43</dd><dt><span>evap_3_arm_1_mod_depth_initial :</span></dt><dd>0</dd><dt><span>evap_3_arm_1_start_pow :</span></dt><dd>0.037</dd><dt><span>evap_3_ramp_duration :</span></dt><dd>0.1</dd><dt><span>evap_3_ramp_trunc_value :</span></dt><dd>1.0</dd><dt><span>evap_3_rate_constant_1 :</span></dt><dd>-0.879</dd><dt><span>evap_3_rate_constant_2 :</span></dt><dd>-0.297</dd><dt><span>final_amp :</span></dt><dd>0.000155</dd><dt><span>final_freq :</span></dt><dd>104.0</dd><dt><span>final_pow_1 :</span></dt><dd>0.1038</dd><dt><span>final_pow_2 :</span></dt><dd>0.09</dd><dt><span>gradCoil_current :</span></dt><dd>0.18</dd><dt><span>gradCoil_current_sg :</span></dt><dd>0</dd><dt><span>imaging_method :</span></dt><dd>in_situ_absorption</dd><dt><span>imaging_pulse_duration :</span></dt><
" 18. 19.]</dd><dt><span>scanAxis :</span></dt><dd>[&#x27;runs&#x27;]</dd><dt><span>scanAxisLength :</span></dt><dd>[20.]</dd></dl></div></li></ul></div></div>"
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
],
"text/plain": [
"<xarray.Dataset>\n",
debug
2023-06-02 18:42:18 +02:00
"Dimensions: (runs: 20, y: 1200, x: 1920)\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"Coordinates:\n",
debug
2023-06-02 18:42:18 +02:00
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0 ... 15.0 16.0 17.0 18.0 19.0\n",
debug
2023-05-24 16:54:29 +02:00
"Dimensions without coordinates: y, x\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"Data variables:\n",
debug
2023-06-02 18:42:18 +02:00
" atoms (runs, y, x) uint16 dask.array<chunksize=(20, 1200, 1920), meta=np.ndarray>\n",
" background (runs, y, x) uint16 dask.array<chunksize=(20, 1200, 1920), meta=np.ndarray>\n",
" dark (runs, y, x) uint16 dask.array<chunksize=(20, 1200, 1920), meta=np.ndarray>\n",
" shotNum (runs) int64 dask.array<chunksize=(20,), meta=np.ndarray>\n",
" OD (runs, y, x) float64 dask.array<chunksize=(20, 1200, 1920), meta=np.ndarray>\n",
regular backup
2023-05-19 18:52:33 +02:00
"Attributes: (12/120)\n",
debug
2023-05-24 16:54:29 +02:00
" TOF_free: 0.022\n",
regular backup
2023-05-19 18:52:33 +02:00
" abs_img_freq: 110.858\n",
" absorption_imaging_flag: True\n",
" backup_data: True\n",
" blink_off_time: 0.001\n",
" blink_on_time: 0.001\n",
" ... ...\n",
debug
2023-06-02 18:42:18 +02:00
" y_offset_img: 0\n",
regular backup
2023-05-19 18:52:33 +02:00
" z_offset: 0.189\n",
" z_offset_img: 0.189\n",
debug
2023-06-02 18:42:18 +02:00
" runs: [ 0. 1. 2. 3. 4. 5. 6. 7. 8. ...\n",
" scanAxis: ['runs']\n",
" scanAxisLength: [20.]"
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
]
},
debug
2023-05-24 16:54:29 +02:00
"execution_count": 5,
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
debug
2023-06-02 18:42:18 +02:00
"shotNum = \"0000\"\n",
regular backup
2023-05-19 18:52:33 +02:00
"filePath = folderPath + \"/\" + shotNum + \"/*.h5\"\n",
debug
2023-05-24 16:54:29 +02:00
"# filePath = \"//DyLabNAS/Data/Evaporative_Cooling/2023/05/12/0065/*.h5\"\n",
regular backup
2023-05-19 18:52:33 +02:00
"\n",
"dataSetDict = {\n",
" dskey[groupList[i]]: read_hdf5_file(filePath, groupList[i])\n",
debug
2023-05-24 16:54:29 +02:00
" for i in [0] # range(len(groupList))\n",
regular backup
2023-05-19 18:52:33 +02:00
"}\n",
"\n",
debug
2023-05-24 16:54:29 +02:00
"dataSet = dataSetDict[\"camera_1\"]\n",
"dataSet = swap_xy(dataSet)\n",
regular backup
2023-05-19 18:52:33 +02:00
"\n",
"scanAxis = get_scanAxis(dataSet)\n",
"\n",
"dataSet = auto_rechunk(dataSet)\n",
"\n",
"dataSet = imageAnalyser.get_absorption_images(dataSet)\n",
"\n",
debug
2023-05-24 16:54:29 +02:00
"dataSet"
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
]
},
{
debug
2023-05-24 16:54:29 +02:00
"attachments": {},
"cell_type": "markdown",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"metadata": {},
"source": [
debug
2023-05-24 16:54:29 +02:00
"## Calculate an plot OD images"
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": 48,
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"metadata": {},
"outputs": [
{
"data": {
debug
2023-06-02 18:42:18 +02:00
"image/png": "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
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"text/plain": [
debug
2023-06-02 18:42:18 +02:00
"<Figure size 6100x300 with 21 Axes>"
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
debug
2023-05-24 16:54:29 +02:00
"imageAnalyser.center = (960, 1050)\n",
"imageAnalyser.span = (100, 100)\n",
"imageAnalyser.fraction = (0.1, 0.1)\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
debug
2023-05-24 16:54:29 +02:00
"dataSet_cropOD = imageAnalyser.crop_image(dataSet.OD)\n",
"dataSet_cropOD = imageAnalyser.substract_offset(dataSet_cropOD).load()\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"\n",
debug
2023-06-02 18:42:18 +02:00
"dataSet_cropOD.plot.pcolormesh(cmap='jet', vmin=0, vmax=2, col=scanAxis[0], row=scanAxis[1])\n",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"plt.show()"
]
},
{
debug
2023-05-24 16:54:29 +02:00
"attachments": {},
"cell_type": "markdown",
Add new model for customized fit function
2023-05-17 11:03:34 +02:00
"metadata": {},
Implentment new function
2023-05-16 15:51:13 +02:00
"source": [
debug
2023-05-24 16:54:29 +02:00
"## Do a 2D two-peak gaussian fit to the OD images"
Implentment new function
2023-05-16 15:51:13 +02:00
]
},
{
debug
2023-05-24 16:54:29 +02:00
"attachments": {},
"cell_type": "markdown",
Implentment new function
2023-05-16 15:51:13 +02:00
"metadata": {},
"source": [
debug
2023-05-24 16:54:29 +02:00
"### Do the fit"
Implentment new function
2023-05-16 15:51:13 +02:00
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": 10,
Implentment new function
2023-05-16 15:51:13 +02:00
"metadata": {},
"outputs": [],
The first working version
2023-05-07 23:41:31 +02:00
"source": [
debug
2023-05-24 16:54:29 +02:00
"fitModel = DensityProfileBEC2dModel()\n",
"# fitModel = ThomasFermi2dModel()\n",
"\n",
"fitAnalyser = FitAnalyser(fitModel, fitDim=2)\n",
"\n",
"# fitAnalyser = FitAnalyser(\"Gaussian-2D\", fitDim=2)\n",
"\n",
debug
2023-06-02 18:42:18 +02:00
"dataSet_cropOD = dataSet_cropOD.chunk((1,100,100))\n",
debug
2023-05-24 16:54:29 +02:00
"\n",
"params = fitAnalyser.guess(dataSet_cropOD, guess_kwargs=dict(pureBECThreshold=0.5), dask=\"parallelized\")\n",
"fitResult = fitAnalyser.fit(dataSet_cropOD, params).load()"
regular backup
2023-05-19 18:52:33 +02:00
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": 34,
regular backup
2023-05-19 18:52:33 +02:00
"metadata": {},
"outputs": [
{
debug
2023-05-24 16:54:29 +02:00
"name": "stderr",
regular backup
2023-05-19 18:52:33 +02:00
"output_type": "stream",
"text": [
debug
2023-05-24 16:54:29 +02:00
"f:\\Jianshun\\analyseScript\\Analyser\\FitAnalyser.py:84: RuntimeWarning: invalid value encountered in power\n",
" res = (1- ((x-centerx)/(sigmax))**2 - ((y-centery)/(sigmay))**2)**(3 / 2)\n"
regular backup
2023-05-19 18:52:33 +02:00
]
debug
2023-05-24 16:54:29 +02:00
},
{
"data": {
"text/plain": [
debug
2023-06-02 18:42:18 +02:00
"<xarray.plot.facetgrid.FacetGrid at 0x239efc5dd30>"
debug
2023-05-24 16:54:29 +02:00
]
},
debug
2023-06-02 18:42:18 +02:00
"execution_count": 34,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
debug
2023-06-02 18:42:18 +02:00
"image/png": "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
debug
2023-05-24 16:54:29 +02:00
"text/plain": [
debug
2023-06-02 18:42:18 +02:00
"<Figure size 6100x300 with 21 Axes>"
debug
2023-05-24 16:54:29 +02:00
]
},
"metadata": {},
"output_type": "display_data"
regular backup
2023-05-19 18:52:33 +02:00
}
],
"source": [
debug
2023-05-24 16:54:29 +02:00
"fitCurve = fitAnalyser.eval(fitResult, x=np.arange(100), y=np.arange(100), dask=\"parallelized\").load()\n",
"\n",
debug
2023-06-02 18:42:18 +02:00
"fitCurve.plot.pcolormesh(cmap='jet', vmin=0, vmax=2, col=scanAxis[0], row=scanAxis[1], x='x', y='y')"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.plot.facetgrid.FacetGrid at 0x239efc16760>"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 6100x300 with 21 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"(dataSet_cropOD - fitCurve).plot.pcolormesh(cmap='jet', vmin=-0.1, vmax=0.1, col=scanAxis[0], row=scanAxis[1])"
regular backup
2023-05-19 18:52:33 +02:00
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": 12,
regular backup
2023-05-19 18:52:33 +02:00
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
debug
2023-05-24 16:54:29 +02:00
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
debug
2023-06-02 18:42:18 +02:00
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;OD&#x27; (runs: 20)&gt;\n",
"array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0.])\n",
debug
2023-05-24 16:54:29 +02:00
"Coordinates:\n",
debug
2023-06-02 18:42:18 +02:00
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0 5.0 ... 15.0 16.0 17.0 18.0 19.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'OD'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>runs</span>: 20</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a2313552-07be-460f-ac03-18206b4a87c7' class='xr-array-in' type='checkbox' checked><label for='section-a2313552-07be-460f-ac03-18206b4a87c7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0.])</pre></div></div></li><li class='xr-section-item'><input id='section-bcb983e5-04a5-49e0-a452-1906a3213229' class='xr-section-summary-in' type='checkbox' checked><label for='section-bcb983e5-04a5-49e0-a452-1906a3213229' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>runs</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 17.0 18.0 19.0</div><input id='attrs-7f11840e-bc64-4fd4-8174-a99cdc24316e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f11840e-bc64-4fd4-8174-a99cdc24316e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1557858a-f286-4207-91e1-a8b9aed27415' class='xr-var-data-in' type='checkbox'><label for='data-1557858a-f286-4207-91e1-a8b9aed27415' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13.,\n",
" 14., 15., 16., 17., 18., 19.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a81a4e8a-3f27-4293-8363-4519a0929f2b' class='xr-section-summary-in' type='checkbox' ><label for='section-a81a4e8a-3f27-4293-8363-4519a0929f2b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1d02c9df-62fb-43a5-bc2a-953a52636956' class='xr-index-data-in' type='checkbox'/><label for='index-1d02c9df-62fb-43a5-bc2a-953a52636956' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0,\n",
" 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;runs&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8bb37b9f-1cfe-4a89-82e9-8ed773c1955e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8bb37b9f-1cfe-4a89-82e9-8ed773c1955e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
debug
2023-05-24 16:54:29 +02:00
],
"text/plain": [
debug
2023-06-02 18:42:18 +02:00
"<xarray.DataArray 'OD' (runs: 20)>\n",
"array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0.])\n",
debug
2023-05-24 16:54:29 +02:00
"Coordinates:\n",
debug
2023-06-02 18:42:18 +02:00
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0 5.0 ... 15.0 16.0 17.0 18.0 19.0"
debug
2023-05-24 16:54:29 +02:00
]
},
debug
2023-06-02 18:42:18 +02:00
"execution_count": 12,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fitModel2 = Polylog22dModel(prefix='thermal_')\n",
"fitAnalyser2 = FitAnalyser(fitModel2, fitDim=2)\n",
debug
2023-06-02 18:42:18 +02:00
"fitCurve2 = fitAnalyser2.eval(fitResult, x=np.arange(100), y=np.arange(100), dask=\"parallelized\").load()\n",
debug
2023-05-24 16:54:29 +02:00
"fitCurve2.sum(dim=['x', 'y'])"
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": 13,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\data\\AppData\\Roaming\\Python\\Python39\\site-packages\\numpy\\lib\\function_base.py:2246: RuntimeWarning: invalid value encountered in _get_fit_full_result_single (vectorized)\n",
" outputs = ufunc(*inputs)\n"
]
}
],
"source": [
"value = fitAnalyser.get_fit_full_result(fitResult)"
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": 14,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
debug
2023-06-02 18:42:18 +02:00
"Dimensions: (runs: 20)\n",
debug
2023-05-24 16:54:29 +02:00
"Coordinates:\n",
debug
2023-06-02 18:42:18 +02:00
" * runs (runs) float64 0.0 1.0 2.0 3.0 ... 16.0 17.0 18.0 19.0\n",
debug
2023-05-24 16:54:29 +02:00
"Data variables:\n",
debug
2023-06-02 18:42:18 +02:00
" BEC_amplitude (runs) object 678.2635955189662+/-nan ... 704.529111...\n",
" thermal_amplitude (runs) object 0.0+/-nan 0.0+/-nan ... 0.0+/-nan\n",
" BEC_centerx (runs) object 41.68161303986658+/-nan ... 43.3093895...\n",
" BEC_centery (runs) object 48.263472046762345+/-nan ... 47.371206...\n",
" thermal_centerx (runs) object 44.13847419706019+/-nan ... 45.5424640...\n",
" thermal_centery (runs) object 48.10984924238203+/-nan ... 48.2021514...\n",
" BEC_sigmax (runs) object 11.148402342086538+/-nan ... 11.240485...\n",
" BEC_sigmay (runs) object 28.173710962485302+/-nan ... 28.020501...\n",
" thermal_sigmax (runs) object 20.210666526427037+/-nan ... 19.265726...\n",
" thermal_sigmay (runs) object 22.827594738210404+/-nan ... 20.307830...\n",
" thermalAspectRatio (runs) object 1.1294825288597745+/-nan ... 1.0540910...\n",
" condensate_fraction (runs) object 1.0+/-nan 1.0+/-nan ... 1.0+/-nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bf5faab5-ee4e-44bc-9db5-78d284375ca6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bf5faab5-ee4e-44bc-9db5-78d284375ca6' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>runs</span>: 20</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-17fe7f40-c74e-4434-a411-f2c896fb962d' class='xr-section-summary-in' type='checkbox' checked><label for='section-17fe7f40-c74e-4434-a411-f2c896fb962d' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>runs</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 17.0 18.0 19.0</div><input id='attrs-360aef93-e051-42cd-86ee-6b25705b0b8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-360aef93-e051-42cd-86ee-6b25705b0b8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e027773a-9364-4ca0-bf27-72b29602cb55' class='xr-var-data-in' type='checkbox'><label for='data-e027773a-9364-4ca0-bf27-72b29602cb55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13.,\n",
" 14., 15., 16., 17., 18., 19.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6f7fd351-036c-4ee5-86f4-d15adef03086' class='xr-section-summary-in' type='checkbox' checked><label for='section-6f7fd351-036c-4ee5-86f4-d15adef03086' class='xr-section-summary' >Data variables: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>BEC_amplitude</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>678.2635955189662+/-nan ... 704....</div><input id='attrs-96e2131b-2b6a-4010-9524-892405d1c305' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-96e2131b-2b6a-4010-9524-892405d1c305' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04f79c7a-6b6a-4363-904f-34689b9144c1' class='xr-var-data-in' type='checkbox'><label for='data-04f79c7a-6b6a-4363-904f-34689b9144c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([678.2635955189662+/-nan, 570.9300691040178+/-nan,\n",
" 729.7439048133908+/-nan, 561.4816558162713+/-nan,\n",
" 767.46198583519+/-nan, 791.6371068647577+/-nan,\n",
" 738.3120441940093+/-nan, 718.0327650311755+/-nan,\n",
" 713.2635798843459+/-nan, 770.4724349923216+/-nan,\n",
" 745.2630547187833+/-nan, 713.6190864987104+/-nan,\n",
" 730.4155945253933+/-nan, 766.7164328868425+/-nan,\n",
" 711.4300692582335+/-nan, 765.9705661810385+/-nan,\n",
" 744.9363853076882+/-nan, 695.0804563161535+/-nan,\n",
" 740.9492233678551+/-nan, 704.5291114313244+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermal_amplitude</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0.0+/-nan 0.0+/-nan ... 0.0+/-nan</div><input id='attrs-bc7d2cd1-c037-4342-ae65-f478b1a11798' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc7d2cd1-c037-4342-ae65-f478b1a11798' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4e2358f-64db-4925-a08c-9c0013290c45' class='xr-var-data-in' type='checkbox'><label for='data-a4e2358f-64db-4925-a08c-9c0013290c45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan,\n",
" 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan,\n",
" 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan,\n",
" 0.0+/-nan, 0.0+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BEC_centerx</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>41.68161303986658+/-nan ... 43.3...</div><input id='attrs-c4b2a8aa-37e7-4301-84a7-a1ff5b2b18da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4b2a8aa-37e7-4301-84a7-a1ff5b2b18da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf2c0111-07da-4025-ab86-a6d0b805a5ed' class='xr-var-data-in' type='checkbox'><label for='data-bf2c0111-07da-4025-ab86-a6d0b805a5ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([41.68161303986658+/-nan, 43.54643075547984+/-nan,\n",
" 44.010352486593824+/-nan, 42.23001931117413+/-nan,\n",
" 42.766374066460976+/-nan, 43.064151852282954+/-nan,\n",
" 43.516086914287854+/-nan, 41.760592913348056+/-nan,\n",
" 43.51494443994783+/-nan, 42.96251968226675+/-nan,\n",
" 43.37005744679945+/-nan, 43.56655154931581+/-nan,\n",
" 41.772287573081385+/-nan, 43.57692836638424+/-nan,\n",
" 45.61015214662576+/-nan, 41.40326837431126+/-nan,\n",
" 44.13412837882349+/-nan, 44.00010352323085+/-nan,\n",
" 42.32311435664195+/-nan, 43.309389528876224+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BEC_centery</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>48.263472046762345+/-nan ... 47....</div><input id='attrs-5627d1ee-0560-4283-8731-128f18ea284d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5627d1ee-0560-4283-8731-128f18ea284d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aeca68be-4985-47d3-a947-744dc40aa6d2' class='xr-var-data-in' type='checkbox'><label for='data-aeca68be-4985-47d3-a947-744dc40aa6d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([48.263472046762345+/-nan, 47.92156369156314+/-nan,\n",
" 47.92387786596079+/-nan, 48.10018864805499+/-nan,\n",
" 51.08989375819018+/-nan, 49.75067493119259+/-nan,\n",
" 47.485012496868826+/-nan, 50.089735490415876+/-nan,\n",
" 45.30492159070581+/-nan, 48.163658266991035+/-nan,\n",
" 48.69045819525425+/-nan, 47.71273537630479+/-nan,\n",
" 46.667368211637175+/-nan, 49.78442036595954+/-nan,\n",
" 49.765165402627545+/-nan, 47.198228609116065+/-nan,\n",
" 49.29418992339359+/-nan, 49.08225642928532+/-nan,\n",
" 49.653591948991554+/-nan, 47.371206413802184+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermal_centerx</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>44.13847419706019+/-nan ... 45.5...</div><input id='attrs-526cc799-320b-4324-b6e2-b51f608d3165' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-526cc799-320b-4324-b6e2-b51f608d3165' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e0f673f-15e0-4147-ba44-84560451169e' class='xr-var-data-in' type='checkbox'><label for='data-1e0f673f-15e0-4147-ba44-84560451169e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([44.13847419706019+/-nan, 45.625985468547086+/-nan,\n",
" 46.533925797896586+/-nan, 44.62165814130569+/-nan,\n",
" 46.27250825767642+/-nan, 45.434316947514525+/-nan,\n",
" 45.79001967569101+/-nan, 44.373678858979716+/-nan,\n",
" 44.30970039095943+/-nan, 46.16331722441009+/-nan,\n",
" 46.08105971750488+/-nan, 46.27372376784467+/-nan,\n",
" 43.18101816774123+/-nan, 46.21990395299141+/-nan,\n",
" 47.65613216970865+/-nan, 45.44757204102094+/-nan,\n",
" 46.15125411738556+/-nan, 46.75599053582757+/-nan,\n",
" 44.32872271444131+/-nan, 45.542464092852626+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermal_centery</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>48.10984924238203+/-nan ... 48.2...</div><input id='attrs-c078280c-7362-4f0a-ba09-1b8af75909c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c078280c-7362-4f0a-ba09-1b8af75909c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-161100d5-ed5e-4ea6-97b7-b8d3a816fd7c' class='xr-var-data-in' type='checkbox'><label for='data-161100d5-ed5e-4ea6-97b7-b8d3a816fd7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([48.10984924238203+/-nan, 48.29776864170357+/-nan,\n",
" 47.89841719607176+/-nan, 48.637843612341435+/-nan,\n",
" 50.37205105787732+/-nan, 50.155873982348055+/-nan,\n",
" 48.27111751663431+/-nan, 48.07814079982143+/-nan,\n",
" 45.50313397295916+/-nan, 47.714487832172104+/-nan,\n",
" 49.05731548616915+/-nan, 47.50811202696543+/-nan,\n",
" 46.1817067496195+/-nan, 48.94577010119909+/-nan,\n",
" 50.1565406150817+/-nan, 48.077286151654334+/-nan,\n",
" 48.57662656783241+/-nan, 47.78555906193826+/-nan,\n",
" 48.99216045013127+/-nan, 48.20215142491456+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BEC_sigmax</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>11.148402342086538+/-nan ... 11....</div><input id='attrs-a2fe2418-af5b-4e33-9dd3-b43c2272f130' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2fe2418-af5b-4e33-9dd3-b43c2272f130' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ca79232-b13c-41a9-8fcf-16198212e543' class='xr-var-data-in' type='checkbox'><label for='data-5ca79232-b13c-41a9-8fcf-16198212e543' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([11.148402342086538+/-nan, 10.846082348511317+/-nan,\n",
" 9.936114826926607+/-nan, 11.472841060977212+/-nan,\n",
" 11.087130045409271+/-nan, 12.11490129467912+/-nan,\n",
" 10.612355566718353+/-nan, 12.24460010310613+/-nan,\n",
" 11.069876144733835+/-nan, 10.847949190512326+/-nan,\n",
" 11.320238906819718+/-nan, 10.45963696150712+/-nan,\n",
" 12.117828903680287+/-nan, 11.034145701375415+/-nan,\n",
" 11.355872074606202+/-nan, 12.116194146665793+/-nan,\n",
" 10.903573947256424+/-nan, 10.129303376358745+/-nan,\n",
" 12.01520389393174+/-nan, 11.240485207644735+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BEC_sigmay</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>28.173710962485302+/-nan ... 28....</div><input id='attrs-a3a4df22-e9ae-4cfa-bcf7-aef2956fbc10' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a3a4df22-e9ae-4cfa-bcf7-aef2956fbc10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25090a3b-7cdd-426a-98b0-7e9631f66a74' class='xr-var-data-in' type='checkbox'><label for='data-25090a3b-7cdd-426a-98b0-7e9631f66a74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([28.173710962485302+/-nan, 27.472729730893885+/-nan,\n",
" 29.009610740653653+/-nan, 27.419395208369675+/-nan,\n",
" 28.78082785775886+/-nan, 29.10278079322779+/-nan,\n",
" 28.744306416044882+/-nan, 28.069840269388685+/-nan,\n",
" 28.200854516406597+/-nan, 28.446834155244442+/-nan,\n",
" 28.515211832123114+/-nan, 28.154729425094988+/-nan,\n",
" 28.34634650648515+/-nan, 28.194266087711572+/-nan,\n",
" 27.522060885732127+/-nan, 28.19518556065402+/-nan,\n",
" 28.682484626873705+/-nan, 28.440019920248236+/-nan,\n",
" 27.80547930051193+/-nan, 28.020501236848293+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermal_sigmax</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>20.210666526427037+/-nan ... 19....</div><input id='attrs-b42be749-186c-4699-a239-d6f6038f9513' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b42be749-186c-4699-a239-d6f6038f9513' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20c38154-dd2a-46c6-b8ee-16b5763ceffe' class='xr-var-data-in' type='checkbox'><label for='data-20c38154-dd2a-46c6-b8ee-16b5763ceffe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([20.210666526427037+/-nan, 24.757561807686848+/-nan,\n",
" 21.016275726385558+/-nan, 21.258035446764737+/-nan,\n",
" 24.070593277746358+/-nan, 23.659615215915654+/-nan,\n",
" 22.266005090386873+/-nan, 26.698202895570923+/-nan,\n",
" 22.43670433550361+/-nan, 23.011456416631702+/-nan,\n",
" 20.891865108307083+/-nan, 22.19060404180224+/-nan,\n",
" 23.75360558398967+/-nan, 21.489022009835708+/-nan,\n",
" 23.143154840521934+/-nan, 24.664786557573173+/-nan,\n",
" 24.428932400629346+/-nan, 20.908575597007076+/-nan,\n",
" 26.44651418579941+/-nan, 19.26572608786609+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermal_sigmay</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>22.827594738210404+/-nan ... 20....</div><input id='attrs-22cc9fc7-498e-4c10-b86c-7c24d2ee04e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-22cc9fc7-498e-4c10-b86c-7c24d2ee04e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc1dc8aa-547f-4675-8b6c-529ac0f95b0d' class='xr-var-data-in' type='checkbox'><label for='data-bc1dc8aa-547f-4675-8b6c-529ac0f95b0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([22.827594738210404+/-nan, 29.354713384227505+/-nan,\n",
" 22.789693923460963+/-nan, 23.18921200858366+/-nan,\n",
" 28.78685175806023+/-nan, 28.391538259098784+/-nan,\n",
" 25.912070215608463+/-nan, 32.037843474685104+/-nan,\n",
" 26.19017971689124+/-nan, 27.613747699958044+/-nan,\n",
" 23.91984106587037+/-nan, 26.384204859722296+/-nan,\n",
" 28.504326700787605+/-nan, 25.393825266679013+/-nan,\n",
" 27.77178580862632+/-nan, 29.597743869087807+/-nan,\n",
" 29.314718880755215+/-nan, 22.642030075368012+/-nan,\n",
" 31.73581702295929+/-nan, 20.30783021305562+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermalAspectRatio</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1.1294825288597745+/-nan ... 1.0...</div><input id='attrs-84165e27-5e1b-4e91-b3d2-b5bd07d162a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84165e27-5e1b-4e91-b3d2-b5bd07d162a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e46054b-432f-434c-afa5-013f36cc15f3' class='xr-var-data-in' type='checkbox'><label for='data-4e46054b-432f-434c-afa5-013f36cc15f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.1294825288597745+/-nan, 1.1856867656132968+/-nan,\n",
" 1.0843830857647585+/-nan, 1.090844545191161+/-nan,\n",
" 1.1959344510496186+/-nan, 1.2+/-nan, 1.1637503050242157+/-nan,\n",
" 1.2+/-nan, 1.167291743264102+/-nan, 1.2+/-nan,\n",
" 1.1449356456144881+/-nan, 1.1889809222867584+/-nan, 1.2+/-nan,\n",
" 1.1817115388060027+/-nan, 1.2+/-nan, 1.2+/-nan, 1.2+/-nan,\n",
" 1.0829063878750818+/-nan, 1.2+/-nan, 1.0540910900755445+/-nan],\n",
" dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>condensate_fraction</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1.0+/-nan 1.0+/-nan ... 1.0+/-nan</div><input id='attrs-28b68693-c5b1-4b99-a0f1-e128ade63856' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28b68693-c5b1-4b99-a0f1-e128ade63856' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b126802e-2e20-4301-927a-3e28908f8cbe' class='xr-var-data-in' type='checkbox'><label for='data-b126802e-2e20-4301-927a-3e28908f8cbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan,\n",
" 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan,\n",
" 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan,\n",
" 1.0+/-nan, 1.0+/-nan], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-244e583a-6404-438a-a610-3d225e7aa06b' class='xr-section-summary-in' type='checkbox' ><label for='section-244e583a-6404-438a-a610-3d225e7aa06b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8205b11f-4659-4f73-87a7-d2aec2863f80' class='xr-index-data-in' type='checkbox'/><label for='index-8205b11f-4659-4f73-87a7-d2aec2863f80' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0,\n",
" 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;runs&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-92338550-34a4-4904-b2ad-09855698df24' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-92338550-34a4-4904-b2ad-09855698df24' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
debug
2023-05-24 16:54:29 +02:00
],
"text/plain": [
"<xarray.Dataset>\n",
debug
2023-06-02 18:42:18 +02:00
"Dimensions: (runs: 20)\n",
debug
2023-05-24 16:54:29 +02:00
"Coordinates:\n",
debug
2023-06-02 18:42:18 +02:00
" * runs (runs) float64 0.0 1.0 2.0 3.0 ... 16.0 17.0 18.0 19.0\n",
debug
2023-05-24 16:54:29 +02:00
"Data variables:\n",
debug
2023-06-02 18:42:18 +02:00
" BEC_amplitude (runs) object 678.2635955189662+/-nan ... 704.529111...\n",
" thermal_amplitude (runs) object 0.0+/-nan 0.0+/-nan ... 0.0+/-nan\n",
" BEC_centerx (runs) object 41.68161303986658+/-nan ... 43.3093895...\n",
" BEC_centery (runs) object 48.263472046762345+/-nan ... 47.371206...\n",
" thermal_centerx (runs) object 44.13847419706019+/-nan ... 45.5424640...\n",
" thermal_centery (runs) object 48.10984924238203+/-nan ... 48.2021514...\n",
" BEC_sigmax (runs) object 11.148402342086538+/-nan ... 11.240485...\n",
" BEC_sigmay (runs) object 28.173710962485302+/-nan ... 28.020501...\n",
" thermal_sigmax (runs) object 20.210666526427037+/-nan ... 19.265726...\n",
" thermal_sigmay (runs) object 22.827594738210404+/-nan ... 20.307830...\n",
" thermalAspectRatio (runs) object 1.1294825288597745+/-nan ... 1.0540910...\n",
" condensate_fraction (runs) object 1.0+/-nan 1.0+/-nan ... 1.0+/-nan"
debug
2023-05-24 16:54:29 +02:00
]
},
debug
2023-06-02 18:42:18 +02:00
"execution_count": 14,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"value"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Get the result of the fit"
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"value = fitAnalyser.get_fit_value(fitResult)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"std = fitAnalyser.get_fit_std(fitResult)"
]
},
{
"cell_type": "code",
"execution_count": 26,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"outputs": [
debug
2023-06-02 18:42:18 +02:00
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\data\\AppData\\Roaming\\Python\\Python39\\site-packages\\numpy\\lib\\function_base.py:2246: RuntimeWarning: invalid value encountered in _get_fit_full_result_single (vectorized)\n",
" outputs = ufunc(*inputs)\n"
]
},
debug
2023-05-24 16:54:29 +02:00
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
debug
2023-06-02 18:42:18 +02:00
"Dimensions: (runs: 20)\n",
debug
2023-05-24 16:54:29 +02:00
"Coordinates:\n",
debug
2023-06-02 18:42:18 +02:00
" * runs (runs) float64 0.0 1.0 2.0 3.0 ... 16.0 17.0 18.0 19.0\n",
debug
2023-05-24 16:54:29 +02:00
"Data variables:\n",
debug
2023-06-02 18:42:18 +02:00
" BEC_amplitude (runs) object 678.2635955189662+/-nan ... 704.529111...\n",
" thermal_amplitude (runs) object 0.0+/-nan 0.0+/-nan ... 0.0+/-nan\n",
" BEC_centerx (runs) object 41.68161303986658+/-nan ... 43.3093895...\n",
" BEC_centery (runs) object 48.263472046762345+/-nan ... 47.371206...\n",
" thermal_centerx (runs) object 44.13847419706019+/-nan ... 45.5424640...\n",
" thermal_centery (runs) object 48.10984924238203+/-nan ... 48.2021514...\n",
" BEC_sigmax (runs) object 11.148402342086538+/-nan ... 11.240485...\n",
" BEC_sigmay (runs) object 28.173710962485302+/-nan ... 28.020501...\n",
" thermal_sigmax (runs) object 20.210666526427037+/-nan ... 19.265726...\n",
" thermal_sigmay (runs) object 22.827594738210404+/-nan ... 20.307830...\n",
" thermalAspectRatio (runs) object 1.1294825288597745+/-nan ... 1.0540910...\n",
" condensate_fraction (runs) object 1.0+/-nan 1.0+/-nan ... 1.0+/-nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1a216d6f-cd96-41a0-95c3-de1b2dec949e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1a216d6f-cd96-41a0-95c3-de1b2dec949e' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>runs</span>: 20</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7dd206d7-461b-4171-a8b6-2806bd261265' class='xr-section-summary-in' type='checkbox' checked><label for='section-7dd206d7-461b-4171-a8b6-2806bd261265' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>runs</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 17.0 18.0 19.0</div><input id='attrs-e3498fae-5355-46f7-8718-836f13f0f1b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3498fae-5355-46f7-8718-836f13f0f1b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1715c2b8-d0c0-4f5a-aaf3-d3d7210b5b88' class='xr-var-data-in' type='checkbox'><label for='data-1715c2b8-d0c0-4f5a-aaf3-d3d7210b5b88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13.,\n",
" 14., 15., 16., 17., 18., 19.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f4926267-dbc5-40b8-876b-0acc33017207' class='xr-section-summary-in' type='checkbox' checked><label for='section-f4926267-dbc5-40b8-876b-0acc33017207' class='xr-section-summary' >Data variables: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>BEC_amplitude</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>678.2635955189662+/-nan ... 704....</div><input id='attrs-94f3126e-f6ad-485c-8ce7-79235ca3d1a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-94f3126e-f6ad-485c-8ce7-79235ca3d1a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-131a9007-9639-4708-b3eb-039a61c0f0a5' class='xr-var-data-in' type='checkbox'><label for='data-131a9007-9639-4708-b3eb-039a61c0f0a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([678.2635955189662+/-nan, 570.9300691040178+/-nan,\n",
" 729.7439048133908+/-nan, 561.4816558162713+/-nan,\n",
" 767.46198583519+/-nan, 791.6371068647577+/-nan,\n",
" 738.3120441940093+/-nan, 718.0327650311755+/-nan,\n",
" 713.2635798843459+/-nan, 770.4724349923216+/-nan,\n",
" 745.2630547187833+/-nan, 713.6190864987104+/-nan,\n",
" 730.4155945253933+/-nan, 766.7164328868425+/-nan,\n",
" 711.4300692582335+/-nan, 765.9705661810385+/-nan,\n",
" 744.9363853076882+/-nan, 695.0804563161535+/-nan,\n",
" 740.9492233678551+/-nan, 704.5291114313244+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermal_amplitude</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0.0+/-nan 0.0+/-nan ... 0.0+/-nan</div><input id='attrs-1c8827c4-0e30-42b2-baa6-977a735159ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c8827c4-0e30-42b2-baa6-977a735159ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a244b95-44d5-45d1-b408-453c79701d65' class='xr-var-data-in' type='checkbox'><label for='data-4a244b95-44d5-45d1-b408-453c79701d65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan,\n",
" 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan,\n",
" 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan, 0.0+/-nan,\n",
" 0.0+/-nan, 0.0+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BEC_centerx</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>41.68161303986658+/-nan ... 43.3...</div><input id='attrs-583ef8f4-fe00-4c5b-a4f2-c4235ed966f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-583ef8f4-fe00-4c5b-a4f2-c4235ed966f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84f30403-ba59-4ce6-81a4-42caf91c5e62' class='xr-var-data-in' type='checkbox'><label for='data-84f30403-ba59-4ce6-81a4-42caf91c5e62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([41.68161303986658+/-nan, 43.54643075547984+/-nan,\n",
" 44.010352486593824+/-nan, 42.23001931117413+/-nan,\n",
" 42.766374066460976+/-nan, 43.064151852282954+/-nan,\n",
" 43.516086914287854+/-nan, 41.760592913348056+/-nan,\n",
" 43.51494443994783+/-nan, 42.96251968226675+/-nan,\n",
" 43.37005744679945+/-nan, 43.56655154931581+/-nan,\n",
" 41.772287573081385+/-nan, 43.57692836638424+/-nan,\n",
" 45.61015214662576+/-nan, 41.40326837431126+/-nan,\n",
" 44.13412837882349+/-nan, 44.00010352323085+/-nan,\n",
" 42.32311435664195+/-nan, 43.309389528876224+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BEC_centery</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>48.263472046762345+/-nan ... 47....</div><input id='attrs-b607aed7-4250-44e6-ba96-f68113d8810f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b607aed7-4250-44e6-ba96-f68113d8810f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f9d701c-22a2-4845-98fc-9a86af0576c6' class='xr-var-data-in' type='checkbox'><label for='data-1f9d701c-22a2-4845-98fc-9a86af0576c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([48.263472046762345+/-nan, 47.92156369156314+/-nan,\n",
" 47.92387786596079+/-nan, 48.10018864805499+/-nan,\n",
" 51.08989375819018+/-nan, 49.75067493119259+/-nan,\n",
" 47.485012496868826+/-nan, 50.089735490415876+/-nan,\n",
" 45.30492159070581+/-nan, 48.163658266991035+/-nan,\n",
" 48.69045819525425+/-nan, 47.71273537630479+/-nan,\n",
" 46.667368211637175+/-nan, 49.78442036595954+/-nan,\n",
" 49.765165402627545+/-nan, 47.198228609116065+/-nan,\n",
" 49.29418992339359+/-nan, 49.08225642928532+/-nan,\n",
" 49.653591948991554+/-nan, 47.371206413802184+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermal_centerx</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>44.13847419706019+/-nan ... 45.5...</div><input id='attrs-b58221cf-5462-46e1-a60c-f14a56db0b15' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b58221cf-5462-46e1-a60c-f14a56db0b15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afbf2cc8-b06d-4b1e-a77e-3035fdd14f47' class='xr-var-data-in' type='checkbox'><label for='data-afbf2cc8-b06d-4b1e-a77e-3035fdd14f47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([44.13847419706019+/-nan, 45.625985468547086+/-nan,\n",
" 46.533925797896586+/-nan, 44.62165814130569+/-nan,\n",
" 46.27250825767642+/-nan, 45.434316947514525+/-nan,\n",
" 45.79001967569101+/-nan, 44.373678858979716+/-nan,\n",
" 44.30970039095943+/-nan, 46.16331722441009+/-nan,\n",
" 46.08105971750488+/-nan, 46.27372376784467+/-nan,\n",
" 43.18101816774123+/-nan, 46.21990395299141+/-nan,\n",
" 47.65613216970865+/-nan, 45.44757204102094+/-nan,\n",
" 46.15125411738556+/-nan, 46.75599053582757+/-nan,\n",
" 44.32872271444131+/-nan, 45.542464092852626+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermal_centery</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>48.10984924238203+/-nan ... 48.2...</div><input id='attrs-b952584c-dfb2-41b9-8740-1c2586992bbe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b952584c-dfb2-41b9-8740-1c2586992bbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-416f0dec-da56-4b2e-8030-ccf4ddb992ca' class='xr-var-data-in' type='checkbox'><label for='data-416f0dec-da56-4b2e-8030-ccf4ddb992ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([48.10984924238203+/-nan, 48.29776864170357+/-nan,\n",
" 47.89841719607176+/-nan, 48.637843612341435+/-nan,\n",
" 50.37205105787732+/-nan, 50.155873982348055+/-nan,\n",
" 48.27111751663431+/-nan, 48.07814079982143+/-nan,\n",
" 45.50313397295916+/-nan, 47.714487832172104+/-nan,\n",
" 49.05731548616915+/-nan, 47.50811202696543+/-nan,\n",
" 46.1817067496195+/-nan, 48.94577010119909+/-nan,\n",
" 50.1565406150817+/-nan, 48.077286151654334+/-nan,\n",
" 48.57662656783241+/-nan, 47.78555906193826+/-nan,\n",
" 48.99216045013127+/-nan, 48.20215142491456+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BEC_sigmax</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>11.148402342086538+/-nan ... 11....</div><input id='attrs-9613df5a-194d-4e5d-863f-b8ff0584d35c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9613df5a-194d-4e5d-863f-b8ff0584d35c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6064a1dd-30d4-4217-8ed9-73877723c5e2' class='xr-var-data-in' type='checkbox'><label for='data-6064a1dd-30d4-4217-8ed9-73877723c5e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([11.148402342086538+/-nan, 10.846082348511317+/-nan,\n",
" 9.936114826926607+/-nan, 11.472841060977212+/-nan,\n",
" 11.087130045409271+/-nan, 12.11490129467912+/-nan,\n",
" 10.612355566718353+/-nan, 12.24460010310613+/-nan,\n",
" 11.069876144733835+/-nan, 10.847949190512326+/-nan,\n",
" 11.320238906819718+/-nan, 10.45963696150712+/-nan,\n",
" 12.117828903680287+/-nan, 11.034145701375415+/-nan,\n",
" 11.355872074606202+/-nan, 12.116194146665793+/-nan,\n",
" 10.903573947256424+/-nan, 10.129303376358745+/-nan,\n",
" 12.01520389393174+/-nan, 11.240485207644735+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BEC_sigmay</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>28.173710962485302+/-nan ... 28....</div><input id='attrs-731e9688-9c5e-44b8-8868-0b4840fc4b9c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-731e9688-9c5e-44b8-8868-0b4840fc4b9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03cf043b-a549-4b31-8eb8-5acd44941cf4' class='xr-var-data-in' type='checkbox'><label for='data-03cf043b-a549-4b31-8eb8-5acd44941cf4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([28.173710962485302+/-nan, 27.472729730893885+/-nan,\n",
" 29.009610740653653+/-nan, 27.419395208369675+/-nan,\n",
" 28.78082785775886+/-nan, 29.10278079322779+/-nan,\n",
" 28.744306416044882+/-nan, 28.069840269388685+/-nan,\n",
" 28.200854516406597+/-nan, 28.446834155244442+/-nan,\n",
" 28.515211832123114+/-nan, 28.154729425094988+/-nan,\n",
" 28.34634650648515+/-nan, 28.194266087711572+/-nan,\n",
" 27.522060885732127+/-nan, 28.19518556065402+/-nan,\n",
" 28.682484626873705+/-nan, 28.440019920248236+/-nan,\n",
" 27.80547930051193+/-nan, 28.020501236848293+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermal_sigmax</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>20.210666526427037+/-nan ... 19....</div><input id='attrs-af29ddb1-abfe-4bc0-a219-2c8cb7820440' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af29ddb1-abfe-4bc0-a219-2c8cb7820440' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a7f1246-974c-4373-9869-2cdd474f1b0e' class='xr-var-data-in' type='checkbox'><label for='data-4a7f1246-974c-4373-9869-2cdd474f1b0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([20.210666526427037+/-nan, 24.757561807686848+/-nan,\n",
" 21.016275726385558+/-nan, 21.258035446764737+/-nan,\n",
" 24.070593277746358+/-nan, 23.659615215915654+/-nan,\n",
" 22.266005090386873+/-nan, 26.698202895570923+/-nan,\n",
" 22.43670433550361+/-nan, 23.011456416631702+/-nan,\n",
" 20.891865108307083+/-nan, 22.19060404180224+/-nan,\n",
" 23.75360558398967+/-nan, 21.489022009835708+/-nan,\n",
" 23.143154840521934+/-nan, 24.664786557573173+/-nan,\n",
" 24.428932400629346+/-nan, 20.908575597007076+/-nan,\n",
" 26.44651418579941+/-nan, 19.26572608786609+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermal_sigmay</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>22.827594738210404+/-nan ... 20....</div><input id='attrs-34293cce-7870-4a7b-b30f-7362232407a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-34293cce-7870-4a7b-b30f-7362232407a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-007cd236-2bea-44f3-9453-7b0c5015589e' class='xr-var-data-in' type='checkbox'><label for='data-007cd236-2bea-44f3-9453-7b0c5015589e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([22.827594738210404+/-nan, 29.354713384227505+/-nan,\n",
" 22.789693923460963+/-nan, 23.18921200858366+/-nan,\n",
" 28.78685175806023+/-nan, 28.391538259098784+/-nan,\n",
" 25.912070215608463+/-nan, 32.037843474685104+/-nan,\n",
" 26.19017971689124+/-nan, 27.613747699958044+/-nan,\n",
" 23.91984106587037+/-nan, 26.384204859722296+/-nan,\n",
" 28.504326700787605+/-nan, 25.393825266679013+/-nan,\n",
" 27.77178580862632+/-nan, 29.597743869087807+/-nan,\n",
" 29.314718880755215+/-nan, 22.642030075368012+/-nan,\n",
" 31.73581702295929+/-nan, 20.30783021305562+/-nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thermalAspectRatio</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1.1294825288597745+/-nan ... 1.0...</div><input id='attrs-36657bfb-be9d-470f-bae0-8816a86c0fdc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36657bfb-be9d-470f-bae0-8816a86c0fdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20913f5c-b760-41c0-be65-1a45bfa5ce72' class='xr-var-data-in' type='checkbox'><label for='data-20913f5c-b760-41c0-be65-1a45bfa5ce72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.1294825288597745+/-nan, 1.1856867656132968+/-nan,\n",
" 1.0843830857647585+/-nan, 1.090844545191161+/-nan,\n",
" 1.1959344510496186+/-nan, 1.2+/-nan, 1.1637503050242157+/-nan,\n",
" 1.2+/-nan, 1.167291743264102+/-nan, 1.2+/-nan,\n",
" 1.1449356456144881+/-nan, 1.1889809222867584+/-nan, 1.2+/-nan,\n",
" 1.1817115388060027+/-nan, 1.2+/-nan, 1.2+/-nan, 1.2+/-nan,\n",
" 1.0829063878750818+/-nan, 1.2+/-nan, 1.0540910900755445+/-nan],\n",
" dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>condensate_fraction</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1.0+/-nan 1.0+/-nan ... 1.0+/-nan</div><input id='attrs-90fecb03-5a3c-4bca-ae05-17e5ca62f818' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90fecb03-5a3c-4bca-ae05-17e5ca62f818' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94bfdbe5-de37-49e6-aa3b-a6fc284fc16f' class='xr-var-data-in' type='checkbox'><label for='data-94bfdbe5-de37-49e6-aa3b-a6fc284fc16f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan,\n",
" 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan,\n",
" 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan, 1.0+/-nan,\n",
" 1.0+/-nan, 1.0+/-nan], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c0c5a21a-e028-4042-86cb-f37453c07f6a' class='xr-section-summary-in' type='checkbox' ><label for='section-c0c5a21a-e028-4042-86cb-f37453c07f6a' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-be39d4ae-64ed-4f4c-95dc-94432182fe30' class='xr-index-data-in' type='checkbox'/><label for='index-be39d4ae-64ed-4f4c-95dc-94432182fe30' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0,\n",
" 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;runs&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-81cf425a-e368-4efe-a16d-55c6719dd68e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-81cf425a-e368-4efe-a16d-55c6719dd68e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
debug
2023-05-24 16:54:29 +02:00
],
"text/plain": [
"<xarray.Dataset>\n",
debug
2023-06-02 18:42:18 +02:00
"Dimensions: (runs: 20)\n",
debug
2023-05-24 16:54:29 +02:00
"Coordinates:\n",
debug
2023-06-02 18:42:18 +02:00
" * runs (runs) float64 0.0 1.0 2.0 3.0 ... 16.0 17.0 18.0 19.0\n",
debug
2023-05-24 16:54:29 +02:00
"Data variables:\n",
debug
2023-06-02 18:42:18 +02:00
" BEC_amplitude (runs) object 678.2635955189662+/-nan ... 704.529111...\n",
" thermal_amplitude (runs) object 0.0+/-nan 0.0+/-nan ... 0.0+/-nan\n",
" BEC_centerx (runs) object 41.68161303986658+/-nan ... 43.3093895...\n",
" BEC_centery (runs) object 48.263472046762345+/-nan ... 47.371206...\n",
" thermal_centerx (runs) object 44.13847419706019+/-nan ... 45.5424640...\n",
" thermal_centery (runs) object 48.10984924238203+/-nan ... 48.2021514...\n",
" BEC_sigmax (runs) object 11.148402342086538+/-nan ... 11.240485...\n",
" BEC_sigmay (runs) object 28.173710962485302+/-nan ... 28.020501...\n",
" thermal_sigmax (runs) object 20.210666526427037+/-nan ... 19.265726...\n",
" thermal_sigmay (runs) object 22.827594738210404+/-nan ... 20.307830...\n",
" thermalAspectRatio (runs) object 1.1294825288597745+/-nan ... 1.0540910...\n",
" condensate_fraction (runs) object 1.0+/-nan 1.0+/-nan ... 1.0+/-nan"
debug
2023-05-24 16:54:29 +02:00
]
},
debug
2023-06-02 18:42:18 +02:00
"execution_count": 26,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
debug
2023-06-02 18:42:18 +02:00
"fitAnalyser.get_fit_full_result(fitResult)"
debug
2023-05-24 16:54:29 +02:00
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"value.BEC_amplitude.plot.errorbar(fmt='ob')\n",
"plt.grid()"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Ncount.plot.errorbar(fmt='ob')\n",
"plt.grid()"
]
},
{
"cell_type": "code",
"execution_count": 45,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
debug
2023-06-02 18:42:18 +02:00
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;BEC_amplitude&#x27; ()&gt;\n",
"array(717.92545613)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'BEC_amplitude'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a31f85ed-3657-4e68-abcb-68057cf991fe' class='xr-array-in' type='checkbox' checked><label for='section-a31f85ed-3657-4e68-abcb-68057cf991fe' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>717.9</span></div><div class='xr-array-data'><pre>array(717.92545613)</pre></div></div></li><li class='xr-section-item'><input id='section-9cca9315-854c-4eaf-a633-d6dfe62131aa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9cca9315-854c-4eaf-a633-d6dfe62131aa' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5f9b9670-24bd-4d42-8ed8-a18f69bc1348' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5f9b9670-24bd-4d42-8ed8-a18f69bc1348' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c511c759-efd6-489f-bd68-df745fa34095' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c511c759-efd6-489f-bd68-df745fa34095' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
debug
2023-05-24 16:54:29 +02:00
],
"text/plain": [
debug
2023-06-02 18:42:18 +02:00
"<xarray.DataArray 'BEC_amplitude' ()>\n",
"array(717.92545613)"
debug
2023-05-24 16:54:29 +02:00
]
},
debug
2023-06-02 18:42:18 +02:00
"execution_count": 45,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
debug
2023-06-02 18:42:18 +02:00
"calculate_mean(value.BEC_amplitude)"
debug
2023-05-24 16:54:29 +02:00
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": 46,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
debug
2023-06-02 18:42:18 +02:00
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;BEC_amplitude&#x27; ()&gt;\n",
"array(57.66059232)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'BEC_amplitude'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-69482eaa-387d-4835-9fb2-e61d7cf795cb' class='xr-array-in' type='checkbox' checked><label for='section-69482eaa-387d-4835-9fb2-e61d7cf795cb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>57.66</span></div><div class='xr-array-data'><pre>array(57.66059232)</pre></div></div></li><li class='xr-section-item'><input id='section-d038e492-4082-411e-88d2-4dbb7ef0855d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d038e492-4082-411e-88d2-4dbb7ef0855d' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0aced48b-9ed2-41fd-ae3e-3296ca20bb22' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0aced48b-9ed2-41fd-ae3e-3296ca20bb22' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0971d935-7798-4ca2-9013-e45de2d0c633' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0971d935-7798-4ca2-9013-e45de2d0c633' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
debug
2023-05-24 16:54:29 +02:00
],
"text/plain": [
debug
2023-06-02 18:42:18 +02:00
"<xarray.DataArray 'BEC_amplitude' ()>\n",
"array(57.66059232)"
debug
2023-05-24 16:54:29 +02:00
]
},
debug
2023-06-02 18:42:18 +02:00
"execution_count": 46,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
debug
2023-06-02 18:42:18 +02:00
"value.BEC_amplitude.std(dim='runs')"
debug
2023-05-24 16:54:29 +02:00
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get the Ncount"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Calculate the mean and standard deviation"
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": 19,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
"outputs": [
{
debug
2023-06-02 18:42:18 +02:00
"ename": "TypeError",
"evalue": "No numeric data to plot.",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32mf:\\Jianshun\\analyseScript\\Example.ipynb Cell 26\u001b[0m in \u001b[0;36m6\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/Example.ipynb#X31sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m Ncount_mean \u001b[39m=\u001b[39m calculate_mean(Ncount)\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/Example.ipynb#X31sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m Ncount_std \u001b[39m=\u001b[39m calculate_std(Ncount)\n\u001b[1;32m----> <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/Example.ipynb#X31sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m Ncount_mean\u001b[39m.\u001b[39;49mplot\u001b[39m.\u001b[39;49merrorbar()\u001b[39m#yerr=Ncount_std)\u001b[39;00m\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/Example.ipynb#X31sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m plt\u001b[39m.\u001b[39mshow()\n",
"File \u001b[1;32mf:\\Jianshun\\analyseScript\\ToolFunction\\HomeMadeXarrayFunction.py:274\u001b[0m, in \u001b[0;36mdataarray_plot_errorbar\u001b[1;34m(DataArrayPlotAccessor, *args, **kwargs)\u001b[0m\n\u001b[0;32m 273\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdataarray_plot_errorbar\u001b[39m(DataArrayPlotAccessor, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mlist\u001b[39m[Line3D] \u001b[39m|\u001b[39m FacetGrid[DataArray]:\n\u001b[1;32m--> 274\u001b[0m \u001b[39mreturn\u001b[39;00m errorbar(DataArrayPlotAccessor\u001b[39m.\u001b[39m_da, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n",
"File \u001b[1;32mf:\\Jianshun\\analyseScript\\ToolFunction\\HomeMadeXarrayFunction.py:183\u001b[0m, in \u001b[0;36merrorbar\u001b[1;34m(darray, xerr, yerr, row, col, figsize, aspect, size, ax, hue, x, y, xincrease, yincrease, xscale, yscale, xticks, yticks, xlim, ylim, add_legend, _labels, *args, **kwargs)\u001b[0m\n\u001b[0;32m 180\u001b[0m ndims \u001b[39m=\u001b[39m \u001b[39mlen\u001b[39m(darray\u001b[39m.\u001b[39mdims)\n\u001b[0;32m 181\u001b[0m \u001b[39mif\u001b[39;00m ndims \u001b[39m==\u001b[39m \u001b[39m0\u001b[39m \u001b[39mor\u001b[39;00m darray\u001b[39m.\u001b[39msize \u001b[39m==\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m 182\u001b[0m \u001b[39m# TypeError to be consistent with pandas\u001b[39;00m\n\u001b[1;32m--> 183\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mTypeError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mNo numeric data to plot.\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m 184\u001b[0m \u001b[39mif\u001b[39;00m ndims \u001b[39m>\u001b[39m \u001b[39m2\u001b[39m:\n\u001b[0;32m 185\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m 186\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mLine plots are for 1- or 2-dimensional DataArrays. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 187\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mPassed DataArray has \u001b[39m\u001b[39m{ndims}\u001b[39;00m\u001b[39m \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 188\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mdimensions\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39mformat(ndims\u001b[39m=\u001b[39mndims)\n\u001b[0;32m 189\u001b[0m )\n",
"\u001b[1;31mTypeError\u001b[0m: No numeric data to plot."
]
debug
2023-05-24 16:54:29 +02:00
}
],
"source": [
"Ncount = imageAnalyser.get_Ncount(dataSet_cropOD)\n",
"\n",
"Ncount.load()\n",
"Ncount_mean = calculate_mean(Ncount)\n",
"Ncount_std = calculate_std(Ncount)\n",
debug
2023-06-02 18:42:18 +02:00
"Ncount_mean.plot.errorbar()#yerr=Ncount_std)\n",
debug
2023-05-24 16:54:29 +02:00
"plt.show()"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Do a 1D fit"
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": null,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
debug
2023-06-02 18:42:18 +02:00
"outputs": [],
debug
2023-05-24 16:54:29 +02:00
"source": [
"def gaussian(x, amplitude=1.0, center=0.0, sigma=1.0):\n",
" \"\"\"Return a 1-dimensional Gaussian function.\n",
"\n",
" gaussian(x, amplitude, center, sigma) =\n",
" (amplitude/(s2pi*sigma)) * exp(-(1.0*x-center)**2 / (2*sigma**2))\n",
"\n",
" \"\"\"\n",
" return ((amplitude/(max(1e-10, np.sqrt(2*np.pi)*sigma)))\n",
" * np.exp(-(1.0*x-center)**2 / max(1e-10, (2*sigma**2))))\n",
"\n",
"fitModel = NewFitModel(gaussian)\n",
"\n",
"fitModel.make_params()"
]
},
{
"cell_type": "code",
debug
2023-06-02 18:42:18 +02:00
"execution_count": null,
debug
2023-05-24 16:54:29 +02:00
"metadata": {},
debug
2023-06-02 18:42:18 +02:00
"outputs": [],
debug
2023-05-24 16:54:29 +02:00
"source": [
"fitAnalyser = FitAnalyser(fitModel, fitDim=1)\n",
"\n",
"params = fitAnalyser.guess(Ncount_mean, x=\"sin_mod_freq\", dask=\"parallelized\")\n",
"fitResult = fitAnalyser.fit(Ncount_mean, params, x=\"sin_mod_freq\").load()\n",
"\n",
"plot_x = np.linspace(Ncount_mean[\"sin_mod_freq\"].min(), Ncount_mean[\"sin_mod_freq\"].max(), 100)\n",
"\n",
"fitCurve = fitAnalyser.eval(fitResult, x=plot_x, dask=\"parallelized\").load()\n",
"\n",
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"Ncount_mean.plot.errorbar(ax=ax, yerr=Ncount_std)\n",
"fitCurve.plot.errorbar(ax=ax, fmt='--g')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fitCurve = fitCurve.rename(dict(x='final_amp'))\n",
"plot_dataSe = xr.combine_nested([Ncount_mean, fitCurve], ['plot'])\n",
"\n",
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"plot_dataSe.sel(plot=[0, 1]).plot.errorbar(ax=ax, hue='plot', x='final_amp', fmt=['ob', '-g'])\n",
"plt.show()\n"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Select data and remove bad shot"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plot_dataSe.where( (Ncount_mean[scanAxis[0]]<2e-4) & (Ncount_mean[scanAxis[0]]>1e-4) )"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"img_dir = '//DyLabNAS/Data/'\n",
"SequenceName = \"Evaporative_Cooling\" + \"/\"\n",
"folderPath = img_dir + SequenceName + '2023/05/17'"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"groupList = [\n",
" \"images/MOT_3D_Camera/in_situ_absorption\",\n",
" \"images/ODT_1_Axis_Camera/in_situ_absorption\",\n",
" \"images/ODT_2_Axis_Camera/in_situ_absorption\",\n",
"]\n",
"\n",
"dskey = {\n",
" \"images/MOT_3D_Camera/in_situ_absorption\": \"camera_0\",\n",
" \"images/ODT_1_Axis_Camera/in_situ_absorption\": \"camera_1\",\n",
" \"images/ODT_2_Axis_Camera/in_situ_absorption\": \"camera_2\",\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"dataSet"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"shotNum = \"0023\"\n",
"filePath = folderPath + \"/\" + shotNum + \"/*.h5\"\n",
"\n",
"dataSetDict = {\n",
" dskey[groupList[i]]: read_hdf5_file(filePath, groupList[i])\n",
" for i in [0]\n",
"}\n",
"\n",
"dataSet = dataSetDict[\"camera_0\"]\n",
"\n",
"print_scanAxis(dataSet)\n",
"\n",
"scanAxis = get_scanAxis(dataSet)\n",
"\n",
"dataSet = auto_rechunk(dataSet)\n",
"\n",
"dataSet = imageAnalyser.get_absorption_images(dataSet)\n",
"\n",
"imageAnalyser.center = (280, 959)\n",
"imageAnalyser.span = (350, 350)\n",
"imageAnalyser.fraction = (0.1, 0.1)\n",
"\n",
"dataSet_cropOD = imageAnalyser.crop_image(dataSet.OD)\n",
"dataSet_cropOD = imageAnalyser.substract_offset(dataSet_cropOD).load()\n",
"\n",
"Ncount = imageAnalyser.get_Ncount(dataSet_cropOD)\n",
"Ncount_mean = Ncount.mean(dim='runs')\n",
"Ncount_std = Ncount.std(dim='runs')\n",
"\n",
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"Ncount_mean.plot.errorbar(ax=ax, yerr = Ncount_std, fmt='ob')\n",
"\n",
"plt.ylabel('NCount')\n",
"plt.tight_layout()\n",
"#plt.ylim([0, 800])\n",
"plt.grid(visible=1)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def sinc_func(x, amplitude=1.0, center=0.0, sigma=1.0, offset=0.0):\n",
" x = np.where(x==center, 1e-15, x)\n",
" return amplitude * ( np.sin(np.pi*(x-center)*sigma) / (np.pi*( (x-center) )* max(sigma, 1e-15) ) ) + offset\n",
"\n",
"fitModel = NewFitModel(sinc_func)\n",
"\n",
"fitModel.make_params()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fitAnalyser = FitAnalyser(fitModel, fitDim=1)\n",
"# params = fitAnalyser.guess(Ncount_mean_1, x=scanAxis[0], guess_kwargs=dict(negative=True), dask=\"parallelized\")\n",
"params = fitAnalyser.fitModel.make_params()\n",
"params.add(name=\"amplitude\", value= -5000, max=np.inf, min=-np.inf, vary=True)\n",
"params.add(name=\"center\", value= 4.24, max=np.inf, min=-np.inf, vary=True)\n",
"params.add(name=\"sigma\", value= 100, max=np.inf, min= 0, vary=True)\n",
"params.add(name=\"offset\", value= 7000, max=np.inf, min=-np.inf, vary=True)\n",
"\n",
"fitResult = fitAnalyser.fit(Ncount_mean, params, x=scanAxis[0]).load()\n",
"freqdata = np.linspace(4.21, 4.27, 500)\n",
"fitCurve = fitAnalyser.eval(fitResult, x=freqdata, dask=\"parallelized\").load()\n",
"fitCurve = fitCurve.assign_coords({'x':np.array(freqdata)})\n",
"\n",
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"Ncount_mean.plot.errorbar(ax=ax, yerr = Ncount_std, fmt='ob')\n",
"fitCurve.plot.errorbar(ax=ax, fmt='--g')\n",
"plt.xlabel('Center Frequency (MHz)')\n",
"plt.ylabel('NCount')\n",
"plt.tight_layout()\n",
"plt.grid(visible=1)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fitResult.item()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import lmfit\n",
"\n",
"def sinc_func(x, amplitude=1.0, center=0.0, sigma=1.0, offset=0.0):\n",
" x = np.where(x==center, 1e-5, x)\n",
" return amplitude * ( np.sin(np.pi*(x-center)*max(sigma, 1e-5)) / (np.pi*( (x-center) )* max(sigma, 1e-5) ) ) + offset\n",
"\n",
"def _fit_1D(data, params, x):\n",
" \n",
" print(x)\n",
" print(data)\n",
" \n",
" res = fitModel.fit(data=data, x=x, params=params, nan_policy='omit')\n",
" \n",
" print(111)\n",
" \n",
" # print(res.items())\n",
" \n",
" return 1\n",
"\n",
"def fit(dataArray, paramsArray, x=None, y=None, input_core_dims=None, dask='parallelized', vectorize=True, keep_attrs=True, daskKwargs=None, **kwargs):\n",
" \n",
" kwargs.update(\n",
" {\n",
" \"dask\": dask,\n",
" \"vectorize\": vectorize,\n",
" \"input_core_dims\": input_core_dims,\n",
" 'keep_attrs': keep_attrs,\n",
" }\n",
" )\n",
" \n",
" fitModel = NewFitModel(sinc_func)\n",
"\n",
" if not daskKwargs is None:\n",
" kwargs.update({\"dask_gufunc_kwargs\": daskKwargs})\n",
" \n",
" if isinstance(paramsArray, type(fitModel.make_params())):\n",
"\n",
" if input_core_dims is None:\n",
" kwargs.update(\n",
" {\n",
" \"input_core_dims\": [['x']],\n",
" }\n",
" )\n",
"\n",
" if x is None:\n",
" if 'x' in dataArray.dims:\n",
" x = dataArray['x'].to_numpy()\n",
" else:\n",
" if isinstance(x, str):\n",
" if input_core_dims is None:\n",
" kwargs.update(\n",
" {\n",
" \"input_core_dims\": [[x]],\n",
" }\n",
" )\n",
" x = dataArray[x].to_numpy()\n",
"\n",
" return xr.apply_ufunc(_fit_1D, dataArray, kwargs={'params':paramsArray,'x':x},\n",
" output_dtypes=[type(lmfit.model.ModelResult(fitModel, fitModel.make_params()))], \n",
" **kwargs)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"params = fitAnalyser.fitModel.make_params()\n",
"params.add(name=\"amplitude\", value= -6000, max=np.inf, min=-np.inf, vary=True)\n",
"params.add(name=\"center\", value= 4.24, max=np.inf, min=-np.inf, vary=True)\n",
"params.add(name=\"sigma\", value= 1, max=np.inf, min= 0, vary=True)\n",
"params.add(name=\"offset\", value= 6000, max=np.inf, min=-np.inf, vary=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fitResult = fit(Ncount_mean, params, x=scanAxis[0]).load()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def sinc_func(x, amplitude=1.0, center=0.0, sigma=1.0, offset=0.0):\n",
" x = np.where(x==center, 1e-5, x)\n",
" return amplitude * ( np.sin(np.pi*(x-center)*max(sigma, 1e-5)) / (np.pi*( (x-center) )* max(sigma, 1e-5) ) ) + offset\n",
"\n",
regular backup
2023-05-19 18:52:33 +02:00
"fitModel = NewFitModel(sinc_func)\n",
"\n",
"fitModel.make_params()\n",
"\n",
"data = Ncount_mean.to_numpy()\n",
"x = Ncount_mean.carrier_freq.to_numpy()\n",
"\n",
"fitModel.fit(data=data, x=x, params=params, nan_policy='omit')"
]
},
{
"cell_type": "code",
debug
2023-05-24 16:54:29 +02:00
"execution_count": null,
regular backup
2023-05-19 18:52:33 +02:00
"metadata": {},
debug
2023-05-24 16:54:29 +02:00
"outputs": [],
regular backup
2023-05-19 18:52:33 +02:00
"source": [
"np.where(x==0, 1, 2)"
The first working version
2023-05-07 23:41:31 +02:00
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
debug
2023-06-02 18:42:18 +02:00
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (index: 1201, fileIndex: 1)\n",
"Coordinates:\n",
" * index (index) int64 0 1 2 3 4 5 6 ... 1195 1196 1197 1198 1199 1200\n",
"Dimensions without coordinates: fileIndex\n",
"Data variables:\n",
" X (fileIndex, index) float64 nan 0.0 1.0 ... 1.198e+03 1.199e+03\n",
" CH1 (fileIndex, index) float64 nan -0.2 -0.3 -0.1 ... 32.3 32.8 32.2\n",
" CH2 (fileIndex, index) float64 nan -0.007 -0.007 ... 0.022 0.0115\n",
" Start (fileIndex, index) float64 nan nan nan nan ... nan nan nan nan\n",
" Increment (fileIndex, index) float64 nan nan nan nan ... nan nan nan nan\n",
" Unnamed: 5 (fileIndex, index) float64 nan nan nan nan ... nan nan nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d1a81bd0-e01e-48c2-a161-b6b36da23ecb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d1a81bd0-e01e-48c2-a161-b6b36da23ecb' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>index</span>: 1201</li><li><span>fileIndex</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-91bafc75-f88b-4ea0-8797-30c0c0bc7594' class='xr-section-summary-in' type='checkbox' checked><label for='section-91bafc75-f88b-4ea0-8797-30c0c0bc7594' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1197 1198 1199 1200</div><input id='attrs-13e60b2e-5229-4547-b25b-ee0f7307e44d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-13e60b2e-5229-4547-b25b-ee0f7307e44d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36db378a-2cd3-4e51-b364-da0825791a88' class='xr-var-data-in' type='checkbox'><label for='data-36db378a-2cd3-4e51-b364-da0825791a88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 1198, 1199, 1200], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c6b527db-b944-4b66-b15e-8d6a53b079c5' class='xr-section-summary-in' type='checkbox' checked><label for='section-c6b527db-b944-4b66-b15e-8d6a53b079c5' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>X</span></div><div class='xr-var-dims'>(fileIndex, index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.0 1.0 ... 1.198e+03 1.199e+03</div><input id='attrs-186600c0-090d-44f8-86fd-a76f02a0be65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-186600c0-090d-44f8-86fd-a76f02a0be65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80d35d06-41ea-4605-9e1c-8607e1f98a09' class='xr-var-data-in' type='checkbox'><label for='data-80d35d06-41ea-4605-9e1c-8607e1f98a09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ nan, 0.000e+00, 1.000e+00, ..., 1.197e+03, 1.198e+03,\n",
" 1.199e+03]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH1</span></div><div class='xr-var-dims'>(fileIndex, index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -0.2 -0.3 ... 32.3 32.8 32.2</div><input id='attrs-fcd9d11e-cc02-48c1-923c-4b27836e5645' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fcd9d11e-cc02-48c1-923c-4b27836e5645' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5ff33b2-17a8-4287-ba2b-f8a40026ab7e' class='xr-var-data-in' type='checkbox'><label for='data-c5ff33b2-17a8-4287-ba2b-f8a40026ab7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ nan, -0.2, -0.3, ..., 32.3, 32.8, 32.2]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CH2</span></div><div class='xr-var-dims'>(fileIndex, index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -0.007 -0.007 ... 0.022 0.0115</div><input id='attrs-450cd4f6-62ab-4903-831b-ef4378a1ec21' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-450cd4f6-62ab-4903-831b-ef4378a1ec21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f61ca6e4-86d6-439d-9fa1-02f0ed7f803a' class='xr-var-data-in' type='checkbox'><label for='data-f61ca6e4-86d6-439d-9fa1-02f0ed7f803a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ nan, -0.007 , -0.007 , ..., 0.01 , 0.022 , 0.0115]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Start</span></div><div class='xr-var-dims'>(fileIndex, index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-186390d3-77a2-4019-8fa9-16359bf02799' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-186390d3-77a2-4019-8fa9-16359bf02799' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8770d88d-5f15-4721-91c8-2801a83ff2a0' class='xr-var-data-in' type='checkbox'><label for='data-8770d88d-5f15-4721-91c8-2801a83ff2a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Increment</span></div><div class='xr-var-dims'>(fileIndex, index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-2d4b83cb-e814-4a17-87b4-ccb9c42d73bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d4b83cb-e814-4a17-87b4-ccb9c42d73bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fcdb06b-f235-42f7-9e5a-9dfbc9f257a8' class='xr-var-data-in' type='checkbox'><label for='data-3fcdb06b-f235-42f7-9e5a-9dfbc9f257a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Unnamed: 5</span></div><div class='xr-var-dims'>(fileIndex, index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0e7529be-b633-43d7-a6
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (index: 1201, fileIndex: 1)\n",
"Coordinates:\n",
" * index (index) int64 0 1 2 3 4 5 6 ... 1195 1196 1197 1198 1199 1200\n",
"Dimensions without coordinates: fileIndex\n",
"Data variables:\n",
" X (fileIndex, index) float64 nan 0.0 1.0 ... 1.198e+03 1.199e+03\n",
" CH1 (fileIndex, index) float64 nan -0.2 -0.3 -0.1 ... 32.3 32.8 32.2\n",
" CH2 (fileIndex, index) float64 nan -0.007 -0.007 ... 0.022 0.0115\n",
" Start (fileIndex, index) float64 nan nan nan nan ... nan nan nan nan\n",
" Increment (fileIndex, index) float64 nan nan nan nan ... nan nan nan nan\n",
" Unnamed: 5 (fileIndex, index) float64 nan nan nan nan ... nan nan nan nan"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"filePath = './NewFile5.csv'\n",
"data = read_csv_file(filePath)\n",
"remove_bad_shots(data, index=0)\n",
"data1 = data.astype(float)\n",
"\n",
"filePath = './NewFile6.csv'\n",
"data = read_csv_file(filePath)\n",
"remove_bad_shots(data, index=0)\n",
"data2 = data.astype(float)\n",
"\n",
"filePath = './NewFile7.csv'\n",
"data = read_csv_file(filePath)\n",
"remove_bad_shots(data, index=0)\n",
"data3 = data.astype(float)\n",
"\n",
"filePath = './NewFile8.csv'\n",
"data = read_csv_file(filePath)\n",
"remove_bad_shots(data, index=0)\n",
"data4 = data.astype(float)\n",
"\n",
"data = (data1 + data2 + data3 + data4) / 4\n",
"\n",
"data"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
" # %matplotlib widget"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 800x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(8,6))\n",
"ax = fig.gca()\n",
"\n",
"data.isel(fileIndex=0).CH2.plot(ax=ax)\n",
"# plt.xlim([0, 590])\n",
"plt.ylim([-0.02, 0.1])\n",
"plt.grid()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH2&#x27; ()&gt;\n",
"array(0.01528947)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH2'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d2f2bf64-2577-4e87-8a90-3d01ca6133ce' class='xr-array-in' type='checkbox' checked><label for='section-d2f2bf64-2577-4e87-8a90-3d01ca6133ce' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.01529</span></div><div class='xr-array-data'><pre>array(0.01528947)</pre></div></div></li><li class='xr-section-item'><input id='section-01d2cc89-7d19-4d5f-a34c-fbf2e06690a6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-01d2cc89-7d19-4d5f-a34c-fbf2e06690a6' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9409588c-69f2-43ac-8fc4-b18acab9863d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9409588c-69f2-43ac-8fc4-b18acab9863d' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-aae06b6f-ab11-4e7a-927b-62d422de944e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aae06b6f-ab11-4e7a-927b-62d422de944e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'CH2' ()>\n",
"array(0.01528947)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data.isel(fileIndex=0, index=slice(1000, 1190)).CH2.mean()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH2&#x27; ()&gt;\n",
"array(-0.00445586)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH2'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-689eacd8-6915-42fc-a8e6-ebb1fe146977' class='xr-array-in' type='checkbox' checked><label for='section-689eacd8-6915-42fc-a8e6-ebb1fe146977' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.004456</span></div><div class='xr-array-data'><pre>array(-0.00445586)</pre></div></div></li><li class='xr-section-item'><input id='section-ee24145a-c632-4796-9062-3cd6744883c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ee24145a-c632-4796-9062-3cd6744883c8' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-bafaef9f-98ca-42d5-90a1-f3ca7095ba44' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bafaef9f-98ca-42d5-90a1-f3ca7095ba44' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0463febf-8d7b-4c80-b7b2-59e1e76ad316' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0463febf-8d7b-4c80-b7b2-59e1e76ad316' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'CH2' ()>\n",
"array(-0.00445586)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data.isel(fileIndex=0, index=slice(0, 590)).CH2.mean()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH2&#x27; ()&gt;\n",
"array(0.01974533)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH2'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2fe4dbcb-2728-4a3d-b3e8-f4050ae86b85' class='xr-array-in' type='checkbox' checked><label for='section-2fe4dbcb-2728-4a3d-b3e8-f4050ae86b85' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.01975</span></div><div class='xr-array-data'><pre>array(0.01974533)</pre></div></div></li><li class='xr-section-item'><input id='section-b832dbdf-92df-4ae4-ae57-1bfef54b8efd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b832dbdf-92df-4ae4-ae57-1bfef54b8efd' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9b7598a6-5297-4a31-9a01-b4b00c2ef4be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9b7598a6-5297-4a31-9a01-b4b00c2ef4be' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1ae826d1-1cc4-45df-ace4-ad10ba0161fd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1ae826d1-1cc4-45df-ace4-ad10ba0161fd' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'CH2' ()>\n",
"array(0.01974533)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data.isel(fileIndex=0, index=slice(1000, 1190)).CH2.mean() - data.isel(fileIndex=0, index=slice(0, 590)).CH2.mean()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.0519613947368421"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"0.01974533 * 1000 / 10 / 38"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.13463318421052634"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"0.02708149 / 38 *1000/10"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.5484005600526316"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"0.01974533 * 1000 / 10 / 38 * 10.554"
]
The first working version
2023-05-07 23:41:31 +02:00
}
],
"metadata": {
"kernelspec": {
fix bugs (can not use xarray.sutck with dask)
2023-05-15 17:05:16 +02:00
"display_name": "Python 3",
The first working version
2023-05-07 23:41:31 +02:00
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
regular backup
2023-05-08 17:48:53 +02:00
"version": "3.9.13"
The first working version
2023-05-07 23:41:31 +02:00
},
fix bugs (can not use xarray.sutck with dask)
2023-05-15 17:05:16 +02:00
"orig_nbformat": 4
The first working version
2023-05-07 23:41:31 +02:00
},
"nbformat": 4,
"nbformat_minor": 2
}
Reference in New Issue Copy Permalink