@@ -98,9 +98,9 @@ def datetime2dataframe(self, datetime_list):
9898
9999 if isinstance (datetime_list , list ):
100100
101- result = pd .DataFrame (datetime_list , columns = ["LocalDateTime " ])
101+ result = pd .DataFrame (datetime_list , columns = ["valuedatetime " ])
102102
103- result .set_index ("LocalDateTime " , inplace = True )
103+ result .set_index ("valuedatetime " , inplace = True )
104104
105105 return result
106106
@@ -130,10 +130,10 @@ def filter_value(self, value, ops):
130130 df = self ._test_filter_previous ()
131131
132132 if ops == '>' :
133- self .filtered_dataframe = df [df ['DataValue ' ] > value ]
133+ self .filtered_dataframe = df [df ['datavalue ' ] > value ]
134134
135135 if ops == '<' :
136- self .filtered_dataframe = df [df ['DataValue ' ] < value ]
136+ self .filtered_dataframe = df [df ['datavalue ' ] < value ]
137137
138138
139139 def filter_date (self , before , after ):
@@ -185,9 +185,9 @@ def change_value_threshold(self, value, operator):
185185
186186 # make a copy of the dataframe in order to modify it to be in the form we need to determine data gaps
187187 copy_df = df
188- copy_df ['values' ] = df ['DataValue ' ]
188+ copy_df ['values' ] = df ['datavalue ' ]
189189 copy_df ['diff' ] = copy_df ['values' ].shift ()
190- copy_df ["diff_date" ] = copy_df ['LocalDateTime ' ].shift ()
190+ copy_df ["diff_date" ] = copy_df ['valuedatetime ' ].shift ()
191191 copy_df ['change_threshold' ] = abs (df ['values' ] - df ['diff' ])
192192
193193 if not isinstance (value , float ):
@@ -337,13 +337,13 @@ def interpolate(self):
337337 df = self ._series_points_df
338338 issel = df .index .isin (tmp_filter_list .index )
339339
340- mdf = df ["DataValue " ].mask (issel )
340+ mdf = df ["datavalue " ].mask (issel )
341341 mdf .interpolate (method = "time" , inplace = True )
342- tmp_filter_list ["DataValue " ]= mdf [issel ]
342+ tmp_filter_list ["datavalue " ]= mdf [issel ]
343343 ids = tmp_filter_list .index .tolist ()
344344
345345 #update_list = [(row["DataValue"], row["ValueID"]) for index, row in tmp_filter_list.iterrows()]
346- update_list = [{"value" : row ["DataValue " ], "id" : index } for index , row in tmp_filter_list .iterrows ()]
346+ update_list = [{"value" : row ["datavalue " ], "id" : index } for index , row in tmp_filter_list .iterrows ()]
347347
348348 self .memDB .update (update_list )
349349
@@ -359,10 +359,10 @@ def drift_correction(self, gap_width):
359359 x_l = (tmp_filter_list .index [- 1 ]- startdate ).total_seconds ()
360360
361361 # y_n = y_0 + G(x_i / x_l)
362- f = lambda row : row ["DataValue " ]+ (gap_width * ((row .name - startdate ).total_seconds () / x_l ))
363- tmp_filter_list ["DataValue " ]= tmp_filter_list .apply (f , axis = 1 )
362+ f = lambda row : row ["datavalue " ]+ (gap_width * ((row .name - startdate ).total_seconds () / x_l ))
363+ tmp_filter_list ["datavalue " ]= tmp_filter_list .apply (f , axis = 1 )
364364
365- update_list = [{"value" : row ["DataValue " ], "id" :index } for index , row in tmp_filter_list .iterrows ()]
365+ update_list = [{"value" : row ["datavalue " ], "id" :index } for index , row in tmp_filter_list .iterrows ()]
366366
367367 ids = tmp_filter_list .index .tolist ()
368368 self .memDB .update (update_list )
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