@@ -381,6 +381,32 @@ def read_mat(self, file_name, var_names=DEF_VAR_MAT):
381381 Exposures .__init__ (self , data = exposures )
382382 _read_mat_metadata (self , data , file_name , var_names )
383383
384+ def read_csv (self , file_name ):
385+ """Read MATLAB file and store variables in exposures.
386+
387+ Parameters:
388+ file_name (str): absolute path file
389+ Note:
390+ The input CSV-file needs to consist of at least these columns:
391+ - value
392+ - latitude
393+ - longitude
394+ """
395+ # load CSV to pandas data frame:
396+ data = pd .read_csv (file_name )
397+ # check for missing variables:
398+ if not ('value' and 'latitude' and 'longitude' ) in data .columns :
399+ raise ValueError ('Required column(s) missing: value, latitude, or longitude.' )
400+ if 'Unnamed: 0' in data .columns :
401+ data .index = data ['Unnamed: 0' ]
402+ data = data .drop (columns = 'Unnamed: 0' )
403+ if not 'if_TC' in data .columns :
404+ data ['if_TC' ] = np .ones (data .shape [0 ], int )
405+ # Init Exposures from data frame:
406+ Exposures .__init__ (self , data = data )
407+ self .tag = Tag (file_name )
408+ self .check ()
409+
384410 #
385411 # Implement geopandas methods
386412 #
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