diff --git a/docs/development/docs/.doctrees/code/aixweather.core_data_format_2_output_file.doctree b/docs/development/docs/.doctrees/code/aixweather.core_data_format_2_output_file.doctree index a87f7bf..f3da735 100644 Binary files a/docs/development/docs/.doctrees/code/aixweather.core_data_format_2_output_file.doctree and b/docs/development/docs/.doctrees/code/aixweather.core_data_format_2_output_file.doctree differ diff --git a/docs/development/docs/.doctrees/environment.pickle b/docs/development/docs/.doctrees/environment.pickle index eb129b7..9cb67b5 100644 Binary files a/docs/development/docs/.doctrees/environment.pickle and b/docs/development/docs/.doctrees/environment.pickle differ diff --git a/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/to_epw_energyplus.html b/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/to_epw_energyplus.html index 368dfb1..0742ba8 100644 --- a/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/to_epw_energyplus.html +++ b/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/to_epw_energyplus.html @@ -84,6 +84,8 @@

Source code for aixweather.core_data_format_2_output_file.to_epw_energyplus< import csv import datetime as dt +import logging + import pandas as pd import numpy as np @@ -91,6 +93,9 @@

Source code for aixweather.core_data_format_2_output_file.to_epw_energyplus< from aixweather.imports.utils_import import MetaData from aixweather.transformation_functions import auxiliary, time_observation_transformations, pass_through_handling +logger = logging.getLogger(__name__) + + """ format_epw information: for links see readme @@ -454,9 +459,9 @@

Source code for aixweather.core_data_format_2_output_file.to_epw_energyplus< ) return ground_temp except KeyError as err: - print( - f"For adding the probably unnecessary ground temperature to the .epw file header, " - f"the following made it impossible: {err}" + logger.warn( + "Error while adding the probably unnecessary ground temperature to the .epw file " + "header. A placeholder will be used. Error: %s", err ) ground_temp = ground_temp + [0] # 0 ground layers @@ -702,7 +707,7 @@

Source code for aixweather.core_data_format_2_output_file.to_epw_energyplus< df_as_list, df = format_data(df, start, stop) writer.writerows(df_as_list) - print(f"EPW file saved to {file_path}.") + logger.info("EPW file saved to %s.", file_path) return df diff --git a/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/to_mos_TMY3.html b/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/to_mos_TMY3.html index 8219836..4a5ac66 100644 --- a/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/to_mos_TMY3.html +++ b/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/to_mos_TMY3.html @@ -81,7 +81,7 @@

Source code for aixweather.core_data_format_2_output_file.to_mos_TMY3

""" Converts core data to modelica TMY3Reader data """ - +import logging import calendar import datetime as dt import pandas as pd @@ -90,6 +90,9 @@

Source code for aixweather.core_data_format_2_output_file.to_mos_TMY3

from aixweather.imports.utils_import import MetaData from aixweather.transformation_functions import auxiliary, time_observation_transformations, pass_through_handling + +logger = logging.getLogger(__name__) + """ format_modelica_TMY3 information: @@ -331,7 +334,7 @@

Source code for aixweather.core_data_format_2_output_file.to_mos_TMY3

file.seek(0, 0) file.write(f"{header_of}\n{content}") - print(f"MOS file saved to {filepath}.") + logger.info("MOS file saved to %s.", filepath) return df diff --git a/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/unconverted_to_x.html b/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/unconverted_to_x.html index c043874..0a33576 100644 --- a/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/unconverted_to_x.html +++ b/docs/development/docs/_modules/aixweather/core_data_format_2_output_file/unconverted_to_x.html @@ -82,6 +82,7 @@

Source code for aixweather.core_data_format_2_output_file.unconverted_to_xconverts core data to different simpler formats (currently without any transformation) """ +import logging import json import pickle import pandas as pd @@ -90,6 +91,9 @@

Source code for aixweather.core_data_format_2_output_file.unconverted_to_xfrom aixweather.imports.utils_import import MetaData +logger = logging.getLogger(__name__) + +
[docs]def to_pickle( core_df: pd.DataFrame, meta: MetaData, @@ -115,7 +119,7 @@

Source code for aixweather.core_data_format_2_output_file.unconverted_to_xwith open(meta_file_path, "wb") as file: pickle.dump(meta, file) - print(f"Pickle saved to {file_path}, meta information saved to {meta_file_path}.") + logger.info("Pickle saved to %s, meta information saved to %s.", file_path, meta_file_path) return core_df

@@ -150,7 +154,7 @@

Source code for aixweather.core_data_format_2_output_file.unconverted_to_xwith open(meta_file_path, "w") as file: json.dump(meta_dict, file, indent=4) - print(f"JSON saved to {file_path}, meta information saved to {meta_file_path}.") + logger.info("JSON saved to %s, meta information saved to %s.", file_path, meta_file_path) return core_df @@ -184,7 +188,7 @@

Source code for aixweather.core_data_format_2_output_file.unconverted_to_xwith open(meta_file_path, "w") as file: json.dump(meta_dict, file, indent=4) - print(f"CSV saved to {file_path}, meta information saved to {meta_file_path}.") + logger.info("CSV saved to %s, meta information saved to %s.", file_path, meta_file_path) return core_df diff --git a/docs/development/docs/_modules/aixweather/imports/DWD.html b/docs/development/docs/_modules/aixweather/imports/DWD.html index 210d203..636976c 100644 --- a/docs/development/docs/_modules/aixweather/imports/DWD.html +++ b/docs/development/docs/_modules/aixweather/imports/DWD.html @@ -81,7 +81,7 @@

Source code for aixweather.imports.DWD

 """
 imports weather data from the DWD
 """
-
+import logging
 import zipfile
 import os
 import shutil
@@ -93,6 +93,9 @@ 
Source code for aixweather.imports.DWD
 from aixweather import definitions
 
 
+logger = logging.getLogger(__name__)
+
+
 
[docs]def import_DWD_historical(start: dt.datetime, station: str) -> pd.DataFrame:
     """
     Pull historical data from DWD:
@@ -428,7 +431,7 @@ 
Source code for aixweather.imports.DWD
     for i in range(4):  # try retrieval 3 times
         try:
             urllib.request.urlretrieve(url + zip_name, total_zip_name)
-            print(f"Loaded: {total_zip_name}")
+            logger.debug("Loaded: %s", total_zip_name)
 
             # save unzipped files to folder_unzip
             extract_path = os.path.join(definitions.local_folder_temp, folder_unzip)
diff --git a/docs/development/docs/_modules/aixweather/transformation_functions/auxiliary.html b/docs/development/docs/_modules/aixweather/transformation_functions/auxiliary.html
index d65bc0f..5ac6c30 100644
--- a/docs/development/docs/_modules/aixweather/transformation_functions/auxiliary.html
+++ b/docs/development/docs/_modules/aixweather/transformation_functions/auxiliary.html
@@ -81,10 +81,13 @@ 
Source code for aixweather.transformation_functions.auxiliary
"""
 includes auxiliary functions for data handling and transformation
 """
-
+import logging
 import pandas as pd
 import numpy as np
 
+logger = logging.getLogger(__name__)
+
+
 
[docs]def force_data_variable_convention(
     df: pd.DataFrame, format_desired: dict
 ) -> pd.DataFrame:
@@ -184,14 +187,15 @@ 
Source code for aixweather.transformation_functions.auxiliary
        ValueError: If a core variable in other_format doesn't match the core variable format.
     """
 
-    print("\nEvaluate format.")
+    logger.debug("Evaluate format.")
     for key, value in other_format.items():
         if value["core_name"] in core_format.keys():
             # compare units
             if value["unit"] != core_format[value["core_name"]]["unit"]:
-                print(
-                    f"Unit transformation required for {value['core_name']} from"
-                    f" {value['unit']} to {core_format[value['core_name']]['unit']}."
+                logger.debug(
+                    "Unit transformation required for %s from %s to %s.",
+                    value['core_name'], value['unit'],
+                    core_format[value['core_name']]['unit']
                 )
         elif not value["core_name"]:
             pass
diff --git a/docs/development/docs/_modules/aixweather/transformation_functions/pass_through_handling.html b/docs/development/docs/_modules/aixweather/transformation_functions/pass_through_handling.html
index 90c746e..71b8719 100644
--- a/docs/development/docs/_modules/aixweather/transformation_functions/pass_through_handling.html
+++ b/docs/development/docs/_modules/aixweather/transformation_functions/pass_through_handling.html
@@ -81,6 +81,7 @@ 
Source code for aixweather.transformation_functions.pass_through_handling"""
 This module contains auxiliary functions for data transformation, e.g. time shifts
 """
+import logging
 
 import pandas as pd
 
@@ -88,6 +89,9 @@ 
Source code for aixweather.transformation_functions.pass_through_handlingfrom aixweather.imports.utils_import import MetaData
 
 
+logger = logging.getLogger(__name__)
+
+
 
[docs]def create_pass_through_variables(
     df_shifted: pd.DataFrame,
     df_no_shift: pd.DataFrame,
@@ -113,7 +117,7 @@ 
Source code for aixweather.transformation_functions.pass_through_handling        pd.DataFrame: The modified `df_shifted` DataFrame with added pass-through variables.
     """
 
-    print("\nApply transformation for pass through variables.")
+    logger.debug("Apply transformation for pass through variables.")
     # perform same transformation
     df_no_shift, meta.executed_transformations_no_shift = transform_func(df_no_shift)
 
@@ -173,7 +177,7 @@ 
Source code for aixweather.transformation_functions.pass_through_handlingif not is_identical:
             # dont add to df
-            print(
+            logger.debug(
                 f"Calculation of the non-shifted {desired_variable} is "
                 f"not valid due non consistent "
                 f"time of measurement (shifting) of the required "
diff --git a/docs/development/docs/_modules/aixweather/transformation_functions/time_observation_transformations.html b/docs/development/docs/_modules/aixweather/transformation_functions/time_observation_transformations.html
index c717ef2..aab9edd 100644
--- a/docs/development/docs/_modules/aixweather/transformation_functions/time_observation_transformations.html
+++ b/docs/development/docs/_modules/aixweather/transformation_functions/time_observation_transformations.html
@@ -84,9 +84,14 @@ 
Source code for aixweather.transformation_functions.time_observation_transfo
 """
 
 import datetime
+import logging
+
 import pandas as pd
 
 
+logger = logging.getLogger(__name__)
+
+
 def _shift_timestamps_and_interpolate(df: pd.DataFrame, backward: bool) -> pd.DataFrame:
     """
     Shift and interpolate timestamps in a DataFrame by 30 minutes forward or backward.
@@ -161,7 +166,7 @@ 
Source code for aixweather.transformation_functions.time_observation_transfo
         # No measurement if not present, though avoid being triggered
         # when using this function in 2output (empty string)
         if value[core_name] not in df.columns and value[core_name]:
-            print(f"No measurements for {value[core_name]}.")
+            logger.debug("No measurements for %s.", value[core_name])
         else:
             if value[meas_key] == "prec2ind":
                 df.loc[:, value[core_name]] = avg_preceding_hour_2_indicated_time(
diff --git a/docs/development/docs/_modules/aixweather/transformation_functions/unit_conversions.html b/docs/development/docs/_modules/aixweather/transformation_functions/unit_conversions.html
index f160b2f..2497998 100644
--- a/docs/development/docs/_modules/aixweather/transformation_functions/unit_conversions.html
+++ b/docs/development/docs/_modules/aixweather/transformation_functions/unit_conversions.html
@@ -81,63 +81,66 @@ 
Source code for aixweather.transformation_functions.unit_conversions
"""
 Includes functions to convert units in weather data.
 """
+import logging
 
 import pandas as pd
 
+logger = logging.getLogger(__name__)
+
 
 
[docs]def Jcm2_to_Whm2(radiation: pd.Series):
     """convert radiance unit from J/cm^2 to Wh/m^2"""
     radiation = radiation / 0.36
-    print(f"{radiation.name} transformed from from J/cm2 to Wh/m2")
+    logger.debug("%s transformed from from J/cm2 to Wh/m2", radiation.name)
     return radiation

 
 
 
[docs]def Jm2_to_Whm2(radiation: pd.Series):
     """convert radiance unit from J/m^2 to Wh/m^2"""
     radiation = radiation / 3600
-    print(f"{radiation.name} transformed from from J/m2 to Wh/m2")
+    logger.debug("%s transformed from from J/m2 to Wh/m2", radiation.name)
     return radiation

 
 
 
[docs]def kJm2_to_Whm2(radiation: pd.Series):
     """convert radiance unit from kJ/m^2 to Wh/m^2"""
     radiation = radiation / 3.6
-    print(f"{radiation.name} transformed from from kJ/m^2 to Wh/m^2")
+    logger.debug("%s transformed from from kJ/m^2 to Wh/m^2", radiation.name)
     return radiation

 
 
 
[docs]def hPa_to_Pa(pressure: pd.Series):
     """convert pressure unit from hPa to Pa"""
     pressure = pressure * 100
-    print(f"{pressure.name} transformed from from hPa to Pa")
+    logger.debug("%s transformed from from hPa to Pa", pressure.name)
     return pressure

 
 
 
[docs]def eigth_to_tenth(cloudgrade: pd.Series):
     """convert cloudgrade from eighth to tenth"""
     cloudgrade = cloudgrade * 10 / 8
-    print(f"{cloudgrade.name} transformed from from eighth to tenth")
+    logger.debug("%s transformed from from eighth to tenth", cloudgrade.name)
     return cloudgrade

 
 
 
[docs]def percent_to_tenth(cloudgrade: pd.Series):
     """convert cloudgrade from percent to tenth"""
     cloudgrade = cloudgrade / 10
-    print(f"{cloudgrade.name} transformed from from percent to tenth")
+    logger.debug("%s transformed from from percent to tenth", cloudgrade.name)
     return cloudgrade

 
 
 
[docs]def kelvin_to_celcius(temperature: pd.Series):
     """convert temperature from kelvin to celcius"""
     temperature = temperature - 273.15
-    print(f"{temperature.name} transformed from from kelvin to celcius")
+    logger.debug("%s transformed from from kelvin to celcius", temperature.name)
     return temperature

 
 
 
[docs]def divide_by_1000(series: pd.Series):
     """divide by 1000"""
     series = series / 1000
-    print(f"{series.name} transformed from x to x/1000")
+    logger.debug("%s transformed from x to x/1000", series.name)
     return series

 

 
diff --git a/docs/development/docs/_modules/aixweather/transformation_functions/variable_transformations.html b/docs/development/docs/_modules/aixweather/transformation_functions/variable_transformations.html
index 2f675e8..c9538bf 100644
--- a/docs/development/docs/_modules/aixweather/transformation_functions/variable_transformations.html
+++ b/docs/development/docs/_modules/aixweather/transformation_functions/variable_transformations.html
@@ -82,6 +82,7 @@ 
Source code for aixweather.transformation_functions.variable_transformations
 This module includes variable transformations and functions
 to calculate variables from given values
 """
+import logging
 
 import pandas as pd
 import numpy as np
@@ -91,6 +92,9 @@ 
Source code for aixweather.transformation_functions.variable_transformations
 from aixweather.imports.utils_import import MetaData
 
 
+logger = logging.getLogger(__name__)
+
+
 
[docs]def approximate_opaque_from_total_skycover(total_sky_cover):
     opaque_sky_cover = total_sky_cover
     return opaque_sky_cover

@@ -285,17 +289,19 @@ 
Source code for aixweather.transformation_functions.variable_transformations
                 if arg in df.columns:
                     # if contains only NaN values
                     if df[arg].isna().all():
-                        print(
-                            f"The required variable {arg} has only nan, "
-                            f"calculation of {desired_variable} aborted."
+                        logger.debug(
+                            "The required variable %s has only nan, "
+                            "calculation of %s aborted.",
+                            arg, desired_variable
                         )
                         return df, calc_status
                     new_args.append(df[arg])
                     args_of_columns.append(arg)
                 else:
-                    print(
-                        f"The required variable {arg} is not in the dataframes "
-                        f"columns, calculation of {desired_variable} aborted."
+                    logger.debug(
+                        "The required variable %s is not in the dataframes "
+                        "columns, calculation of %s aborted.",
+                        arg, desired_variable
                     )
                     return df, calc_status
             else:
@@ -304,7 +310,7 @@ 
Source code for aixweather.transformation_functions.variable_transformations
 
         # Apply transformation if variables are available
         df[desired_variable] = transformation_function(*new_args)
-        print(f"Calculated {desired_variable} from {args_of_columns}.")
+        logger.info("Calculated %s from %s.", desired_variable, args_of_columns)
 
         # Feed back whether calculation was done and with which variables
         calc_status = {desired_variable: args_of_columns}
diff --git a/docs/development/docs/code/aixweather.core_data_format_2_output_file.html b/docs/development/docs/code/aixweather.core_data_format_2_output_file.html
index 812806e..9178d3d 100644
--- a/docs/development/docs/code/aixweather.core_data_format_2_output_file.html
+++ b/docs/development/docs/code/aixweather.core_data_format_2_output_file.html
@@ -111,6 +111,33 @@ 
Submodules
 
aixweather.core_data_format_2_output_file.to_epw_energyplus module

 
convert core data to epw (EnergyPlus) data

+

+

+aixweather.core_data_format_2_output_file.to_epw_energyplus.logger = <Logger aixweather.core_data_format_2_output_file.to_epw_energyplus (WARNING)>

+
format_epw information:
+for links see readme

+
Format info:
+key = output data point name
+core_name = corresponding name matching the format_core_data
+time_of_meas_shift = desired 30min shifting+interpolation to convert the value that is “at 
+indicated time” to “average of preceding hour” (ind2prec). 
+unit = unit of the output data following the naming convention of format_core_data
+nan = The default values stated from the format_epw information, those values are 
+filled if nan.

+
All changes here automatically change the calculations. 
+Exception: unit conversions have to be added manually.

+
Information for shifting:
+Hour: This is the hour of the data. (1 - 24). Hour 1 is 00:01 to 01:00. Cannot be missing.
+but e.g.:
+DryBulbTemp: This is the dry bulb temperature in C at the time indicated.
+and:
+GlobHorRad: received on a horizontal surface during the hour preceding the time indicated.
+—-> Hence, we assume that hour 1 should show the DryBulbTemp from
+0:30 to 1:30, i.e. the Temp at indicated time.

+
time of measurement checked by Martin Rätz (07.08.2023)
+units checked by Martin Rätz (07.08.2023)

+

+
 

 

 aixweather.core_data_format_2_output_file.to_epw_energyplus.to_epw(core_df: DataFrame, meta: MetaData, start: datetime, stop: datetime, fillna: bool, result_folder: str = None) → DataFrame[source]

@@ -134,6 +161,24 @@ 
Submodules
 
aixweather.core_data_format_2_output_file.to_mos_TMY3 module

 
Converts core data to modelica TMY3Reader data

+

+

+aixweather.core_data_format_2_output_file.to_mos_TMY3.logger = <Logger aixweather.core_data_format_2_output_file.to_mos_TMY3 (WARNING)>

+
format_modelica_TMY3 information:

+
Format info:
+key = output data point name
+core_name = corresponding name matching the format_core_data
+time_of_meas_shift = desired 30min shifting+interpolation to convert the value that is “at 
+indicated time” to “average of preceding hour” (ind2prec). 
+unit = unit of the output data following the naming convention of format_core_data
+nan = The default values stated from the AixLib TMY3 Reader, those values are 
+filled if nan.

+
All changes here automatically change the calculations. 
+Exception: unit conversions have to be added manually.

+
time_of_meas_shift´s checked by Martin Rätz (07.08.2023)
+unit´s checked by Martin Rätz (07.08.2023)

+

+
 

 

 aixweather.core_data_format_2_output_file.to_mos_TMY3.to_mos(core_df: DataFrame, meta: MetaData, start: datetime, stop: datetime, fillna: bool, result_folder: str = None) → DataFrame[source]

diff --git a/docs/development/docs/code/aixweather.html b/docs/development/docs/code/aixweather.html
index 7f4f08b..c45a295 100644
--- a/docs/development/docs/code/aixweather.html
+++ b/docs/development/docs/code/aixweather.html
@@ -124,10 +124,12 @@ 
Subpackagesaixweather.core_data_format_2_output_file package
-  
+  
diff --git a/docs/development/docs/objects.inv b/docs/development/docs/objects.inv
index 3460970..38c9c45 100644
Binary files a/docs/development/docs/objects.inv and b/docs/development/docs/objects.inv differ
diff --git a/docs/development/docs/searchindex.js b/docs/development/docs/searchindex.js
index 089452f..6751ea7 100644
--- a/docs/development/docs/searchindex.js
+++ b/docs/development/docs/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
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"force_data_variable_convention() (in module aixweather.transformation_functions.auxiliary)": [[4, "aixweather.transformation_functions.auxiliary.force_data_variable_convention"]], "hpa_to_pa() (in module aixweather.transformation_functions.unit_conversions)": [[4, "aixweather.transformation_functions.unit_conversions.hPa_to_Pa"]], "indicated_time_2_avg_following_hour() (in module aixweather.transformation_functions.time_observation_transformations)": [[4, "aixweather.transformation_functions.time_observation_transformations.indicated_time_2_avg_following_hour"]], "indicated_time_2_avg_preceding_hour() (in module aixweather.transformation_functions.time_observation_transformations)": [[4, "aixweather.transformation_functions.time_observation_transformations.indicated_time_2_avg_preceding_hour"]], "kjm2_to_whm2() (in module aixweather.transformation_functions.unit_conversions)": [[4, "aixweather.transformation_functions.unit_conversions.kJm2_to_Whm2"]], "kelvin_to_celcius() (in module aixweather.transformation_functions.unit_conversions)": [[4, "aixweather.transformation_functions.unit_conversions.kelvin_to_celcius"]], "pass_through_measurements_with_back_and_forth_interpolating() (in module aixweather.transformation_functions.pass_through_handling)": [[4, "aixweather.transformation_functions.pass_through_handling.pass_through_measurements_with_back_and_forth_interpolating"]], "percent_to_tenth() (in module aixweather.transformation_functions.unit_conversions)": [[4, "aixweather.transformation_functions.unit_conversions.percent_to_tenth"]], "rename_columns() (in module aixweather.transformation_functions.auxiliary)": [[4, "aixweather.transformation_functions.auxiliary.rename_columns"]], "replace_dummy_with_nan() (in module aixweather.transformation_functions.auxiliary)": [[4, "aixweather.transformation_functions.auxiliary.replace_dummy_with_nan"]], "robust_transformation() (in module aixweather.transformation_functions.variable_transformations)": [[4, "aixweather.transformation_functions.variable_transformations.robust_transformation"]], "select_entry_by_core_name() (in module aixweather.transformation_functions.auxiliary)": [[4, "aixweather.transformation_functions.auxiliary.select_entry_by_core_name"]], "shift_time_by_dict() (in module aixweather.transformation_functions.time_observation_transformations)": [[4, "aixweather.transformation_functions.time_observation_transformations.shift_time_by_dict"]], "truncate_data_from_start_to_stop() (in module aixweather.transformation_functions.time_observation_transformations)": [[4, "aixweather.transformation_functions.time_observation_transformations.truncate_data_from_start_to_stop"]], "variable_transform_all() (in module aixweather.transformation_functions.variable_transformations)": [[4, "aixweather.transformation_functions.variable_transformations.variable_transform_all"]], "dwd_forecast_2_core_data() (in module aixweather.transformation_to_core_data.dwd)": [[5, "aixweather.transformation_to_core_data.DWD.DWD_forecast_2_core_data"]], "dwd_historical_to_core_data() (in module aixweather.transformation_to_core_data.dwd)": [[5, "aixweather.transformation_to_core_data.DWD.DWD_historical_to_core_data"]], "epw_to_core_data() (in module aixweather.transformation_to_core_data.epw)": [[5, "aixweather.transformation_to_core_data.EPW.EPW_to_core_data"]], "erc_to_core_data() (in module aixweather.transformation_to_core_data.erc)": [[5, "aixweather.transformation_to_core_data.ERC.ERC_to_core_data"]], "try_to_core_data() (in module aixweather.transformation_to_core_data.try)": [[5, "aixweather.transformation_to_core_data.TRY.TRY_to_core_data"]], "aixweather.transformation_to_core_data": [[5, "module-aixweather.transformation_to_core_data"]], "aixweather.transformation_to_core_data.dwd": [[5, "module-aixweather.transformation_to_core_data.DWD"]], "aixweather.transformation_to_core_data.epw": [[5, "module-aixweather.transformation_to_core_data.EPW"]], "aixweather.transformation_to_core_data.erc": [[5, "module-aixweather.transformation_to_core_data.ERC"]], "aixweather.transformation_to_core_data.try": [[5, "module-aixweather.transformation_to_core_data.TRY"]], "aixweather.transformation_to_core_data.custom_file": [[5, "module-aixweather.transformation_to_core_data.custom_file"]], "custom_to_core_data() (in module aixweather.transformation_to_core_data.custom_file)": [[5, "aixweather.transformation_to_core_data.custom_file.custom_to_core_data"]], "variables_to_sum_dwd_historical (in module aixweather.transformation_to_core_data.dwd)": [[5, "aixweather.transformation_to_core_data.DWD.variables_to_sum_DWD_historical"]]}})
\ No newline at end of file
diff --git a/docs/development/pylint/pylint.json b/docs/development/pylint/pylint.json
index 04a068b..9e07153 100644
--- a/docs/development/pylint/pylint.json
+++ b/docs/development/pylint/pylint.json
@@ -59,7 +59,7 @@
                 "fatal": 0,
                 "info": 0,
                 "refactor": 0,
-                "statement": 19,
+                "statement": 21,
                 "warning": 0
             },
             "test_DWD_forecast": {
@@ -211,7 +211,7 @@
         "fatal": 0,
         "info": 0,
         "refactor": 0,
-        "statement": 180,
+        "statement": 182,
         "warning": 0,
         "global_note": 0,
         "nb_duplicated_lines": 0,
@@ -276,7 +276,7 @@
                 "fatal": 0,
                 "info": 0,
                 "refactor": 0,
-                "statement": 19,
+                "statement": 21,
                 "warning": 0
             },
             "test_DWD_forecast": {
@@ -428,7 +428,7 @@
         "fatal": 0,
         "info": 0,
         "refactor": 0,
-        "statement": 180,
+        "statement": 182,
         "warning": 0,
         "global_note": 10.0,
         "nb_duplicated_lines": 0,