Implentment new function

Analyser/FitAnalyser.py

@@ -392,11 +392,11 @@ class FitAnalyser():
                                     )
     
     def _fit_1D(self, data, params, x):
-        return self.fitModel.fit(data=data, x=x, params=params)
+        return self.fitModel.fit(data=data, x=x, params=params, nan_policy='omit')
 
     def _fit_2D(self, data, params, x, y):
         data = data.flatten(order='F')
-        return self.fitModel.fit(data=data, x=x, y=y, params=params)
+        return self.fitModel.fit(data=data, x=x, y=y, params=params, nan_policy='omit')
 
     def fit(self, dataArray, paramsArray, x=None, y=None, input_core_dims=None, dask='parallelized', vectorize=True, keep_attrs=True, daskKwargs=None, **kwargs):
         

DataContainer/ReadData.py

@@ -113,7 +113,7 @@ def update_hdf5_file():
     pass
  
 
-def read_hdf5_file(filePath, group=None, datesetOfGlobal=None, preprocess=None, join="outer", parallel=True, engine="h5netcdf", phony_dims="access", excludeAxis=[], **kwargs):
+def read_hdf5_file(filePath, group=None, datesetOfGlobal=None, preprocess=None, join="outer", parallel=True, engine="h5netcdf", phony_dims="access", excludeAxis=[], maxFileNum=None, **kwargs):
 
     filePath = np.sort(np.atleast_1d(filePath))
 
@@ -130,6 +130,9 @@ def read_hdf5_file(filePath, group=None, datesetOfGlobal=None, preprocess=None,
     for i in range(len(fullFilePath)):
         fullFilePath[i] = fullFilePath[i].replace("\\", "/")
         
+    if not maxFileNum is None:
+        fullFilePath = fullFilePath[0:int(maxFileNum)]
+
     kwargs.update(
         {
             'join': join, 

ToolFunction/ToolFunction.py

@@ -131,3 +131,9 @@ def extract_temperature_from_fit():
 
 def extract_condensate_fraction_from_fit():
     pass
+
+def swap_xy(dataSet):
+    dataSet = dataSet.rename_dims(dict(x='__x'))
+    dataSet = dataSet.rename_dims(dict(y='x'))
+    dataSet = dataSet.rename_dims(dict(__x='y'))
+    return dataSet