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test.ipynb
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 30,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"import xarray as xr\n",
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"import xarray as xr\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"import numpy as np\n",
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"import copy\n",
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"\n",
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"import glob\n",
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"\n",
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"import xrft\n",
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"import finufft\n",
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"\n",
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"\n",
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"from uncertainties import ufloat\n",
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"from uncertainties import ufloat\n",
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"from uncertainties import unumpy as unp\n",
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"from uncertainties import unumpy as unp\n",
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"from uncertainties import umath\n",
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"from uncertainties import umath\n",
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"\n",
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"\n",
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"import matplotlib.pyplot as plt\n",
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"from datetime import datetime\n",
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"\n",
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"\n",
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"from DataContainer.ReadData import read_hdf5_file\n",
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"import matplotlib.pyplot as plt\n",
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"plt.rcParams['font.size'] = 18\n",
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"\n",
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"from DataContainer.ReadData import read_hdf5_file, read_hdf5_global, read_hdf5_run_time\n",
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"from Analyser.ImagingAnalyser import ImageAnalyser\n",
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"from Analyser.ImagingAnalyser import ImageAnalyser\n",
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"from Analyser.FitAnalyser import FitAnalyser\n",
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"from Analyser.FitAnalyser import FitAnalyser\n",
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"from Analyser.FFTAnalyser import fft, ifft, fft_nutou\n",
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"from ToolFunction.ToolFunction import *\n",
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"from ToolFunction.ToolFunction import *\n",
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"\n",
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"\n",
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"from ToolFunction.HomeMadeXarrayFunction import errorbar, dataarray_plot_errorbar\n",
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"from ToolFunction.HomeMadeXarrayFunction import errorbar, dataarray_plot_errorbar\n",
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@ -45,19 +56,9 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 5,
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"D:\\Program Files\\Python\\Python38\\Lib\\site-packages\\distributed\\node.py:182: UserWarning: Port 8787 is already in use.\n",
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"Perhaps you already have a cluster running?\n",
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"Hosting the HTTP server on port 59390 instead\n",
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" warnings.warn(\n"
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]
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},
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{
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{
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"data": {
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"data": {
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"text/html": [
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"text/html": [
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@ -65,7 +66,7 @@
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" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
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" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
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" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-9a0ca19d-ecb4-11ed-af18-9c7bef43b4fb</p>\n",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-200775db-f65c-11ed-b2b8-80e82ce2fa8e</p>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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"\n",
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"\n",
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" <tr>\n",
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" <tr>\n",
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@ -78,7 +79,7 @@
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" \n",
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" \n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59390/status\" target=\"_blank\">http://127.0.0.1:59390/status</a>\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\"></td>\n",
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" <td style=\"text-align: left;\"></td>\n",
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" </tr>\n",
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" </tr>\n",
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@ -87,10 +88,6 @@
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" </table>\n",
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" </table>\n",
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"\n",
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"\n",
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" \n",
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" \n",
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" <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"http://127.0.0.1:59390/status\" }'>\n",
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" Launch dashboard in JupyterLab\n",
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" </button>\n",
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" \n",
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"\n",
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"\n",
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" \n",
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" \n",
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" <details>\n",
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" <details>\n",
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@ -100,11 +97,11 @@
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" </div>\n",
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" </div>\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
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" <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">40e09024</p>\n",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">2c51e6b4</p>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:59390/status\" target=\"_blank\">http://127.0.0.1:59390/status</a>\n",
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" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Workers:</strong> 6\n",
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" <strong>Workers:</strong> 6\n",
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@ -137,11 +134,11 @@
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" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
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" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
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" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-616be11d-c546-4d58-ad88-3bacd53b13c0</p>\n",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-f9b0168c-58e7-417d-a784-847c37353ae6</p>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Comm:</strong> tcp://127.0.0.1:59391\n",
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" <strong>Comm:</strong> tcp://127.0.0.1:61152\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Workers:</strong> 6\n",
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" <strong>Workers:</strong> 6\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:59390/status\" target=\"_blank\">http://127.0.0.1:59390/status</a>\n",
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" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Total threads:</strong> 60\n",
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" <strong>Total threads:</strong> 60\n",
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@ -183,7 +180,7 @@
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:59424\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:61184\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Total threads: </strong> 10\n",
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" <strong>Total threads: </strong> 10\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59428/status\" target=\"_blank\">http://127.0.0.1:59428/status</a>\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:61187/status\" target=\"_blank\">http://127.0.0.1:61187/status</a>\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Memory: </strong> 9.31 GiB\n",
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" <strong>Memory: </strong> 9.31 GiB\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:59394\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:61155\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\"></td>\n",
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" <td style=\"text-align: left;\"></td>\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-ybrgy95q\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-i0hiphpk\n",
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" </td>\n",
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" </td>\n",
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" </tr>\n",
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" </tr>\n",
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"\n",
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"\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:59422\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:61180\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Total threads: </strong> 10\n",
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" <strong>Total threads: </strong> 10\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59427/status\" target=\"_blank\">http://127.0.0.1:59427/status</a>\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:61181/status\" target=\"_blank\">http://127.0.0.1:61181/status</a>\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Memory: </strong> 9.31 GiB\n",
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" <strong>Memory: </strong> 9.31 GiB\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:59395\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:61156\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\"></td>\n",
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" <td style=\"text-align: left;\"></td>\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-ms_3izxs\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-iip3bgkh\n",
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" </td>\n",
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" </td>\n",
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" </tr>\n",
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" </tr>\n",
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"\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:59434\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:61192\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Total threads: </strong> 10\n",
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" <strong>Total threads: </strong> 10\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59437/status\" target=\"_blank\">http://127.0.0.1:59437/status</a>\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:61194/status\" target=\"_blank\">http://127.0.0.1:61194/status</a>\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Memory: </strong> 9.31 GiB\n",
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" <strong>Memory: </strong> 9.31 GiB\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:59396\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:61157\n",
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" </td>\n",
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" </td>\n",
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" <td style=\"text-align: left;\"></td>\n",
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" <td style=\"text-align: left;\"></td>\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-qteiamcm\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-fysqgu68\n",
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" </td>\n",
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" </td>\n",
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" </tr>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:59421\n",
|
" <strong>Comm: </strong> tcp://127.0.0.1:61183\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Total threads: </strong> 10\n",
|
" <strong>Total threads: </strong> 10\n",
|
||||||
@ -326,7 +323,7 @@
|
|||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
" <tr>\n",
|
" <tr>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59426/status\" target=\"_blank\">http://127.0.0.1:59426/status</a>\n",
|
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:61185/status\" target=\"_blank\">http://127.0.0.1:61185/status</a>\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Memory: </strong> 9.31 GiB\n",
|
" <strong>Memory: </strong> 9.31 GiB\n",
|
||||||
@ -334,13 +331,13 @@
|
|||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
" <tr>\n",
|
" <tr>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Nanny: </strong> tcp://127.0.0.1:59397\n",
|
" <strong>Nanny: </strong> tcp://127.0.0.1:61158\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" <td style=\"text-align: left;\"></td>\n",
|
" <td style=\"text-align: left;\"></td>\n",
|
||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
" <tr>\n",
|
" <tr>\n",
|
||||||
" <td colspan=\"2\" style=\"text-align: left;\">\n",
|
" <td colspan=\"2\" style=\"text-align: left;\">\n",
|
||||||
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-r2y5vxh3\n",
|
" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-se3tovak\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
"\n",
|
"\n",
|
||||||
@ -363,7 +360,7 @@
|
|||||||
" <table style=\"width: 100%; text-align: left;\">\n",
|
" <table style=\"width: 100%; text-align: left;\">\n",
|
||||||
" <tr>\n",
|
" <tr>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Comm: </strong> tcp://127.0.0.1:59425\n",
|
" <strong>Comm: </strong> tcp://127.0.0.1:61193\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Total threads: </strong> 10\n",
|
" <strong>Total threads: </strong> 10\n",
|
||||||
@ -371,7 +368,7 @@
|
|||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
" <tr>\n",
|
" <tr>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59435/status\" target=\"_blank\">http://127.0.0.1:59435/status</a>\n",
|
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:61195/status\" target=\"_blank\">http://127.0.0.1:61195/status</a>\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Memory: </strong> 9.31 GiB\n",
|
" <strong>Memory: </strong> 9.31 GiB\n",
|
||||||
@ -379,13 +376,13 @@
|
|||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
" <tr>\n",
|
" <tr>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Nanny: </strong> tcp://127.0.0.1:59398\n",
|
" <strong>Nanny: </strong> tcp://127.0.0.1:61159\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" <td style=\"text-align: left;\"></td>\n",
|
" <td style=\"text-align: left;\"></td>\n",
|
||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
" <tr>\n",
|
" <tr>\n",
|
||||||
" <td colspan=\"2\" style=\"text-align: left;\">\n",
|
" <td colspan=\"2\" style=\"text-align: left;\">\n",
|
||||||
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-3ykst_31\n",
|
" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-4pxl4754\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
"\n",
|
"\n",
|
||||||
@ -408,7 +405,7 @@
|
|||||||
" <table style=\"width: 100%; text-align: left;\">\n",
|
" <table style=\"width: 100%; text-align: left;\">\n",
|
||||||
" <tr>\n",
|
" <tr>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Comm: </strong> tcp://127.0.0.1:59423\n",
|
" <strong>Comm: </strong> tcp://127.0.0.1:61189\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Total threads: </strong> 10\n",
|
" <strong>Total threads: </strong> 10\n",
|
||||||
@ -416,7 +413,7 @@
|
|||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
" <tr>\n",
|
" <tr>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59429/status\" target=\"_blank\">http://127.0.0.1:59429/status</a>\n",
|
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:61190/status\" target=\"_blank\">http://127.0.0.1:61190/status</a>\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Memory: </strong> 9.31 GiB\n",
|
" <strong>Memory: </strong> 9.31 GiB\n",
|
||||||
@ -424,13 +421,13 @@
|
|||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
" <tr>\n",
|
" <tr>\n",
|
||||||
" <td style=\"text-align: left;\">\n",
|
" <td style=\"text-align: left;\">\n",
|
||||||
" <strong>Nanny: </strong> tcp://127.0.0.1:59399\n",
|
" <strong>Nanny: </strong> tcp://127.0.0.1:61160\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" <td style=\"text-align: left;\"></td>\n",
|
" <td style=\"text-align: left;\"></td>\n",
|
||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
" <tr>\n",
|
" <tr>\n",
|
||||||
" <td colspan=\"2\" style=\"text-align: left;\">\n",
|
" <td colspan=\"2\" style=\"text-align: left;\">\n",
|
||||||
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-egpqiwk3\n",
|
" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-h3v0lbw6\n",
|
||||||
" </td>\n",
|
" </td>\n",
|
||||||
" </tr>\n",
|
" </tr>\n",
|
||||||
"\n",
|
"\n",
|
||||||
@ -457,10 +454,10 @@
|
|||||||
"</div>"
|
"</div>"
|
||||||
],
|
],
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Client: 'tcp://127.0.0.1:59391' processes=6 threads=60, memory=55.88 GiB>"
|
"<Client: 'tcp://127.0.0.1:61152' processes=6 threads=60, memory=55.88 GiB>"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 2,
|
"execution_count": 5,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
@ -471,6 +468,539 @@
|
|||||||
"client"
|
"client"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
{
|
||||||
|
"attachments": {},
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"## Set global path for experiment"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 6,
|
||||||
|
"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",
|
||||||
|
"}\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 7,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"img_dir = '//DyLabNAS/Data/'\n",
|
||||||
|
"SequenceName = \"Evaporative_Cooling\" + \"/\"\n",
|
||||||
|
"folderPath = img_dir + SequenceName + \"2023/05/09\" # get_date()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"attachments": {},
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"# Read CSV"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 47,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"ename": "ValueError",
|
||||||
|
"evalue": "concat_dims has length 1 but the datasets passed are nested in a 0-dimensional structure",
|
||||||
|
"output_type": "error",
|
||||||
|
"traceback": [
|
||||||
|
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||||
|
"\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
|
||||||
|
"\u001b[1;32mf:\\Jianshun\\analyseScript\\test.ipynb Cell 9\u001b[0m in \u001b[0;36m1\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/test.ipynb#X55sZmlsZQ%3D%3D?line=12'>13</a>\u001b[0m data[i] \u001b[39m=\u001b[39m data_single\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/test.ipynb#X55sZmlsZQ%3D%3D?line=13'>14</a>\u001b[0m i \u001b[39m=\u001b[39m i \u001b[39m+\u001b[39m \u001b[39m1\u001b[39m\n\u001b[1;32m---> <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/test.ipynb#X55sZmlsZQ%3D%3D?line=15'>16</a>\u001b[0m xr\u001b[39m.\u001b[39;49mcombine_nested(data, concat_dim\u001b[39m=\u001b[39;49m[\u001b[39m'\u001b[39;49m\u001b[39mruns\u001b[39;49m\u001b[39m'\u001b[39;49m])\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/test.ipynb#X55sZmlsZQ%3D%3D?line=17'>18</a>\u001b[0m \u001b[39m# data.assign_coords(dict(index=data.Time))\u001b[39;00m\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/test.ipynb#X55sZmlsZQ%3D%3D?line=18'>19</a>\u001b[0m \n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/test.ipynb#X55sZmlsZQ%3D%3D?line=19'>20</a>\u001b[0m \u001b[39m# data = xr.Dataset(\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/test.ipynb#X55sZmlsZQ%3D%3D?line=28'>29</a>\u001b[0m \n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/test.ipynb#X55sZmlsZQ%3D%3D?line=29'>30</a>\u001b[0m \u001b[39m# data = data.rename(dict(index='time'))\u001b[39;00m\n",
|
||||||
|
"File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python39\\site-packages\\xarray\\core\\combine.py:580\u001b[0m, in \u001b[0;36mcombine_nested\u001b[1;34m(datasets, concat_dim, compat, data_vars, coords, fill_value, join, combine_attrs)\u001b[0m\n\u001b[0;32m 577\u001b[0m concat_dim \u001b[39m=\u001b[39m [concat_dim]\n\u001b[0;32m 579\u001b[0m \u001b[39m# The IDs argument tells _nested_combine that datasets aren't yet sorted\u001b[39;00m\n\u001b[1;32m--> 580\u001b[0m \u001b[39mreturn\u001b[39;00m _nested_combine(\n\u001b[0;32m 581\u001b[0m datasets,\n\u001b[0;32m 582\u001b[0m concat_dims\u001b[39m=\u001b[39;49mconcat_dim,\n\u001b[0;32m 583\u001b[0m compat\u001b[39m=\u001b[39;49mcompat,\n\u001b[0;32m 584\u001b[0m data_vars\u001b[39m=\u001b[39;49mdata_vars,\n\u001b[0;32m 585\u001b[0m coords\u001b[39m=\u001b[39;49mcoords,\n\u001b[0;32m 586\u001b[0m ids\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m,\n\u001b[0;32m 587\u001b[0m fill_value\u001b[39m=\u001b[39;49mfill_value,\n\u001b[0;32m 588\u001b[0m join\u001b[39m=\u001b[39;49mjoin,\n\u001b[0;32m 589\u001b[0m combine_attrs\u001b[39m=\u001b[39;49mcombine_attrs,\n\u001b[0;32m 590\u001b[0m )\n",
|
||||||
|
"File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python39\\site-packages\\xarray\\core\\combine.py:359\u001b[0m, in \u001b[0;36m_nested_combine\u001b[1;34m(datasets, concat_dims, compat, data_vars, coords, ids, fill_value, join, combine_attrs)\u001b[0m\n\u001b[0;32m 356\u001b[0m _check_shape_tile_ids(combined_ids)\n\u001b[0;32m 358\u001b[0m \u001b[39m# Apply series of concatenate or merge operations along each dimension\u001b[39;00m\n\u001b[1;32m--> 359\u001b[0m combined \u001b[39m=\u001b[39m _combine_nd(\n\u001b[0;32m 360\u001b[0m combined_ids,\n\u001b[0;32m 361\u001b[0m concat_dims,\n\u001b[0;32m 362\u001b[0m compat\u001b[39m=\u001b[39;49mcompat,\n\u001b[0;32m 363\u001b[0m data_vars\u001b[39m=\u001b[39;49mdata_vars,\n\u001b[0;32m 364\u001b[0m coords\u001b[39m=\u001b[39;49mcoords,\n\u001b[0;32m 365\u001b[0m fill_value\u001b[39m=\u001b[39;49mfill_value,\n\u001b[0;32m 366\u001b[0m join\u001b[39m=\u001b[39;49mjoin,\n\u001b[0;32m 367\u001b[0m combine_attrs\u001b[39m=\u001b[39;49mcombine_attrs,\n\u001b[0;32m 368\u001b[0m )\n\u001b[0;32m 369\u001b[0m \u001b[39mreturn\u001b[39;00m combined\n",
|
||||||
|
"File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python39\\site-packages\\xarray\\core\\combine.py:224\u001b[0m, in \u001b[0;36m_combine_nd\u001b[1;34m(combined_ids, concat_dims, data_vars, coords, compat, fill_value, join, combine_attrs)\u001b[0m\n\u001b[0;32m 222\u001b[0m n_dims \u001b[39m=\u001b[39m \u001b[39mlen\u001b[39m(example_tile_id)\n\u001b[0;32m 223\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(concat_dims) \u001b[39m!=\u001b[39m n_dims:\n\u001b[1;32m--> 224\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m 225\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mconcat_dims has length \u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39m but the datasets \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 226\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mpassed are nested in a \u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39m-dimensional structure\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39mformat(\n\u001b[0;32m 227\u001b[0m \u001b[39mlen\u001b[39m(concat_dims), n_dims\n\u001b[0;32m 228\u001b[0m )\n\u001b[0;32m 229\u001b[0m )\n\u001b[0;32m 231\u001b[0m \u001b[39m# Each iteration of this loop reduces the length of the tile_ids tuples\u001b[39;00m\n\u001b[0;32m 232\u001b[0m \u001b[39m# by one. It always combines along the first dimension, removing the first\u001b[39;00m\n\u001b[0;32m 233\u001b[0m \u001b[39m# element of the tuple\u001b[39;00m\n\u001b[0;32m 234\u001b[0m \u001b[39mfor\u001b[39;00m concat_dim \u001b[39min\u001b[39;00m concat_dims:\n",
|
||||||
|
"\u001b[1;31mValueError\u001b[0m: concat_dims has length 1 but the datasets passed are nested in a 0-dimensional structure"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"filePath = 'Z:/Dy_Lab/Data/Measurements/Experiments/DyBEC/BEC Stability Check/20230509-0007/*.csv'\n",
|
||||||
|
"\n",
|
||||||
|
"filePath = np.sort(glob.glob(filePath))\n",
|
||||||
|
"\n",
|
||||||
|
"data = np.empty(filePath.shape,dtype=object)\n",
|
||||||
|
"\n",
|
||||||
|
"i = 0\n",
|
||||||
|
"for fp in filePath:\n",
|
||||||
|
" data_single = pd.read_csv(fp)\n",
|
||||||
|
" data_single = xr.Dataset.from_dataframe(data_single)\n",
|
||||||
|
" data_single = data_single.drop_isel(index=0)\n",
|
||||||
|
" data_single = data_single.expand_dims(dim='runs')\n",
|
||||||
|
" data[i] = data_single\n",
|
||||||
|
" i = i + 1\n",
|
||||||
|
"\n",
|
||||||
|
"xr.combine_nested(data, concat_dim=['runs'])\n",
|
||||||
|
"\n",
|
||||||
|
"# data.assign_coords(dict(index=data.Time))\n",
|
||||||
|
"\n",
|
||||||
|
"# data = xr.Dataset(\n",
|
||||||
|
"# data_vars = {\n",
|
||||||
|
"# 'arm1': data['Channel C'],\n",
|
||||||
|
"# 'arm2': data['Channel A'],\n",
|
||||||
|
"# },\n",
|
||||||
|
"# coords = {\n",
|
||||||
|
"# 'index': data['Time']\n",
|
||||||
|
"# }\n",
|
||||||
|
"# )\n",
|
||||||
|
"\n",
|
||||||
|
"# data = data.rename(dict(index='time'))"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 48,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/html": [
|
||||||
|
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
|
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|
"<defs>\n",
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|
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|
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||||||
|
"</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: '►';\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: '▼';\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'><xarray.Dataset>\n",
|
||||||
|
"Dimensions: (index: 100004, runs: 1)\n",
|
||||||
|
"Coordinates:\n",
|
||||||
|
" * index (index) int64 1 2 3 4 5 6 ... 100000 100001 100002 100003 100004\n",
|
||||||
|
"Dimensions without coordinates: runs\n",
|
||||||
|
"Data variables:\n",
|
||||||
|
" Time (runs, index) object '-0.44999999' '-0.44994999' ... '4.55014989'\n",
|
||||||
|
" Channel A (runs, index) object '-0.02044740' '-0.03051851' ... '0.09063997'\n",
|
||||||
|
" Channel C (runs, index) object '-0.01525925' '-0.01525925' ... '0.05981628'</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-3173c483-e0df-4c54-b1d1-fba2e8347e6d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3173c483-e0df-4c54-b1d1-fba2e8347e6d' 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>: 100004</li><li><span>runs</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b017a61a-75a4-4945-a5a7-c9c22a3a4904' class='xr-section-summary-in' type='checkbox' checked><label for='section-b017a61a-75a4-4945-a5a7-c9c22a3a4904' 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'>1 2 3 4 ... 100002 100003 100004</div><input id='attrs-ebc2dfec-83d3-4337-95dc-ddc3b521f06d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ebc2dfec-83d3-4337-95dc-ddc3b521f06d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67b01792-ac53-4641-9710-7c82cb2f87e5' class='xr-var-data-in' type='checkbox'><label for='data-67b01792-ac53-4641-9710-7c82cb2f87e5' 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, 2, 3, ..., 100002, 100003, 100004], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e744b28-70da-4c5a-b447-58b39ebc1a32' class='xr-section-summary-in' type='checkbox' checked><label for='section-6e744b28-70da-4c5a-b447-58b39ebc1a32' class='xr-section-summary' >Data variables: <span>(3)</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>Time</span></div><div class='xr-var-dims'>(runs, index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>'-0.44999999' ... '4.55014989'</div><input id='attrs-304c227d-f7d9-42bd-b4db-1daedc6497e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-304c227d-f7d9-42bd-b4db-1daedc6497e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29e7b056-bf5f-41e2-a80d-cbedd8cc6d90' class='xr-var-data-in' type='checkbox'><label for='data-29e7b056-bf5f-41e2-a80d-cbedd8cc6d90' 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([['-0.44999999', '-0.44994999', '-0.44989999', ..., '4.55004989',\n",
|
||||||
|
" '4.55009989', '4.55014989']], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Channel A</span></div><div class='xr-var-dims'>(runs, index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>'-0.02044740' ... '0.09063997'</div><input id='attrs-8c6510db-4498-4fc9-b45d-c5fa1d19a1de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c6510db-4498-4fc9-b45d-c5fa1d19a1de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c60aa58-2e9f-44af-8546-db020067661c' class='xr-var-data-in' type='checkbox'><label for='data-2c60aa58-2e9f-44af-8546-db020067661c' 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([['-0.02044740', '-0.03051851', '0.02014222', ..., '0.02502518',\n",
|
||||||
|
" '0.06561480', '0.09063997']], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Channel C</span></div><div class='xr-var-dims'>(runs, index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>'-0.01525925' ... '0.05981628'</div><input id='attrs-0dc8b2af-af1a-485b-8942-e642aa1862ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0dc8b2af-af1a-485b-8942-e642aa1862ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a955ee8-f77f-4b45-b18a-0ea0486b5932' class='xr-var-data-in' type='checkbox'><label for='data-6a955ee8-f77f-4b45-b18a-0ea0486b5932' 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([['-0.01525925', '-0.01525925', '-0.05005036', ..., '0.05981628',\n",
|
||||||
|
" '0.07477035', '0.05981628']], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de543410-3007-4fef-be30-b59e0d5f577b' class='xr-section-summary-in' type='checkbox' ><label for='section-de543410-3007-4fef-be30-b59e0d5f577b' 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>index</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f4743108-022b-4ecd-bfc2-9fd48d2c1ba1' class='xr-index-data-in' type='checkbox'/><label for='index-f4743108-022b-4ecd-bfc2-9fd48d2c1ba1' 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(Int64Index([ 1, 2, 3, 4, 5, 6, 7, 8,\n",
|
||||||
|
" 9, 10,\n",
|
||||||
|
" ...\n",
|
||||||
|
" 99995, 99996, 99997, 99998, 99999, 100000, 100001, 100002,\n",
|
||||||
|
" 100003, 100004],\n",
|
||||||
|
" dtype='int64', name='index', length=100004))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43582b8a-7f7d-4cc9-bd19-38ceb739f793' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-43582b8a-7f7d-4cc9-bd19-38ceb739f793' 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.Dataset>\n",
|
||||||
|
"Dimensions: (index: 100004, runs: 1)\n",
|
||||||
|
"Coordinates:\n",
|
||||||
|
" * index (index) int64 1 2 3 4 5 6 ... 100000 100001 100002 100003 100004\n",
|
||||||
|
"Dimensions without coordinates: runs\n",
|
||||||
|
"Data variables:\n",
|
||||||
|
" Time (runs, index) object '-0.44999999' '-0.44994999' ... '4.55014989'\n",
|
||||||
|
" Channel A (runs, index) object '-0.02044740' '-0.03051851' ... '0.09063997'\n",
|
||||||
|
" Channel C (runs, index) object '-0.01525925' '-0.01525925' ... '0.05981628'"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 48,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"data[0]"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 61,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"ename": "ValueError",
|
||||||
|
"evalue": "concat_dims has length 1 but the datasets passed are nested in a 0-dimensional structure",
|
||||||
|
"output_type": "error",
|
||||||
|
"traceback": [
|
||||||
|
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||||
|
"\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
|
||||||
|
"\u001b[1;32mf:\\Jianshun\\analyseScript\\test.ipynb Cell 11\u001b[0m in \u001b[0;36m1\n\u001b[1;32m----> <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/test.ipynb#X63sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m xr\u001b[39m.\u001b[39;49mcombine_nested(data[\u001b[39m0\u001b[39;49m:\u001b[39m2\u001b[39;49m], concat_dim\u001b[39m=\u001b[39;49m[[\u001b[39m'\u001b[39;49m\u001b[39mruns\u001b[39;49m\u001b[39m'\u001b[39;49m]])\n",
|
||||||
|
"File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python39\\site-packages\\xarray\\core\\combine.py:580\u001b[0m, in \u001b[0;36mcombine_nested\u001b[1;34m(datasets, concat_dim, compat, data_vars, coords, fill_value, join, combine_attrs)\u001b[0m\n\u001b[0;32m 577\u001b[0m concat_dim \u001b[39m=\u001b[39m [concat_dim]\n\u001b[0;32m 579\u001b[0m \u001b[39m# The IDs argument tells _nested_combine that datasets aren't yet sorted\u001b[39;00m\n\u001b[1;32m--> 580\u001b[0m \u001b[39mreturn\u001b[39;00m _nested_combine(\n\u001b[0;32m 581\u001b[0m datasets,\n\u001b[0;32m 582\u001b[0m concat_dims\u001b[39m=\u001b[39;49mconcat_dim,\n\u001b[0;32m 583\u001b[0m compat\u001b[39m=\u001b[39;49mcompat,\n\u001b[0;32m 584\u001b[0m data_vars\u001b[39m=\u001b[39;49mdata_vars,\n\u001b[0;32m 585\u001b[0m coords\u001b[39m=\u001b[39;49mcoords,\n\u001b[0;32m 586\u001b[0m ids\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m,\n\u001b[0;32m 587\u001b[0m fill_value\u001b[39m=\u001b[39;49mfill_value,\n\u001b[0;32m 588\u001b[0m join\u001b[39m=\u001b[39;49mjoin,\n\u001b[0;32m 589\u001b[0m combine_attrs\u001b[39m=\u001b[39;49mcombine_attrs,\n\u001b[0;32m 590\u001b[0m )\n",
|
||||||
|
"File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python39\\site-packages\\xarray\\core\\combine.py:359\u001b[0m, in \u001b[0;36m_nested_combine\u001b[1;34m(datasets, concat_dims, compat, data_vars, coords, ids, fill_value, join, combine_attrs)\u001b[0m\n\u001b[0;32m 356\u001b[0m _check_shape_tile_ids(combined_ids)\n\u001b[0;32m 358\u001b[0m \u001b[39m# Apply series of concatenate or merge operations along each dimension\u001b[39;00m\n\u001b[1;32m--> 359\u001b[0m combined \u001b[39m=\u001b[39m _combine_nd(\n\u001b[0;32m 360\u001b[0m combined_ids,\n\u001b[0;32m 361\u001b[0m concat_dims,\n\u001b[0;32m 362\u001b[0m compat\u001b[39m=\u001b[39;49mcompat,\n\u001b[0;32m 363\u001b[0m data_vars\u001b[39m=\u001b[39;49mdata_vars,\n\u001b[0;32m 364\u001b[0m coords\u001b[39m=\u001b[39;49mcoords,\n\u001b[0;32m 365\u001b[0m fill_value\u001b[39m=\u001b[39;49mfill_value,\n\u001b[0;32m 366\u001b[0m join\u001b[39m=\u001b[39;49mjoin,\n\u001b[0;32m 367\u001b[0m combine_attrs\u001b[39m=\u001b[39;49mcombine_attrs,\n\u001b[0;32m 368\u001b[0m )\n\u001b[0;32m 369\u001b[0m \u001b[39mreturn\u001b[39;00m combined\n",
|
||||||
|
"File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python39\\site-packages\\xarray\\core\\combine.py:224\u001b[0m, in \u001b[0;36m_combine_nd\u001b[1;34m(combined_ids, concat_dims, data_vars, coords, compat, fill_value, join, combine_attrs)\u001b[0m\n\u001b[0;32m 222\u001b[0m n_dims \u001b[39m=\u001b[39m \u001b[39mlen\u001b[39m(example_tile_id)\n\u001b[0;32m 223\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(concat_dims) \u001b[39m!=\u001b[39m n_dims:\n\u001b[1;32m--> 224\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m 225\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mconcat_dims has length \u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39m but the datasets \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 226\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mpassed are nested in a \u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39m-dimensional structure\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39mformat(\n\u001b[0;32m 227\u001b[0m \u001b[39mlen\u001b[39m(concat_dims), n_dims\n\u001b[0;32m 228\u001b[0m )\n\u001b[0;32m 229\u001b[0m )\n\u001b[0;32m 231\u001b[0m \u001b[39m# Each iteration of this loop reduces the length of the tile_ids tuples\u001b[39;00m\n\u001b[0;32m 232\u001b[0m \u001b[39m# by one. It always combines along the first dimension, removing the first\u001b[39;00m\n\u001b[0;32m 233\u001b[0m \u001b[39m# element of the tuple\u001b[39;00m\n\u001b[0;32m 234\u001b[0m \u001b[39mfor\u001b[39;00m concat_dim \u001b[39min\u001b[39;00m concat_dims:\n",
|
||||||
|
"\u001b[1;31mValueError\u001b[0m: concat_dims has length 1 but the datasets passed are nested in a 0-dimensional structure"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"xr.combine_nested(data[0:2], concat_dim=[['runs']])"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"attachments": {},
|
"attachments": {},
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
@ -1590,7 +2120,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.8.10 (tags/v3.8.10:3d8993a, May 3 2021, 11:48:03) [MSC v.1928 64 bit (AMD64)]"
|
"version": "3.9.13"
|
||||||
},
|
},
|
||||||
"orig_nbformat": 4,
|
"orig_nbformat": 4,
|
||||||
"vscode": {
|
"vscode": {
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user