aixweather.transformation_to_core_data package
AixWeather Transformation to Core Data
The ‘transformation_to_core_data’ module contains functions to transform imported weather data to a standardized core data format within the AixWeather package (see auxiliary.py).
This core data format adheres to specific guidelines:
Timezone: UTC
Hourly data
Index is a datetime index (DatetimeIndex complete and monotonic)
Measurement at the indicated time (not as average for the following or preceding hour)
Always the same set of variables names (see core_data)
Missing values are displayed as ‘nan’
These transformation functions take imported_data as input and convert it to the specified core data format, ensuring uniformity and adherence to the core data guidelines.
Each module is designed to handle data from a specific source or format.
Submodules
aixweather.transformation_to_core_data.DWD module
- aixweather.transformation_to_core_data.DWD.DWD_forecast_2_core_data(df_import: DataFrame, meta: MetaData) DataFrame[source]
Transform imported weather forecast data from DWD into core data format.
- Args:
df_import (pd.DataFrame): The DataFrame containing imported weather forecast data from DWD. meta (MetaData): Metadata associated with the data.
- Returns:
pd.DataFrame: The transformed DataFrame in the core data format.
- aixweather.transformation_to_core_data.DWD.DWD_historical_to_core_data(df_import: DataFrame, start: datetime, stop: datetime, meta: MetaData) DataFrame[source]
Transform imported weather data from DWD historical format into core data format.
- Args:
df_import (pd.DataFrame): The DataFrame containing imported weather data from DWD. start (datetime): The timestamp for the start of the desired data range (will be extended for interpolation). stop (datetime): The timestamp for the end of the desired data range (will be extended for interpolation). meta (MetaData): Metadata associated with the data.
- Returns:
pd.DataFrame: The transformed DataFrame in the core data format.
- aixweather.transformation_to_core_data.DWD.variables_to_sum_DWD_historical = ['DS_10', 'GS_10', 'LS_10', 'RWS_10']
format_DWD_forecast information:
Variable definitions: https://opendata.dwd.de/weather/lib/MetElementDefinition.xml or https://wetterdienst.readthedocs.io/en/latest/data/coverage/dwd/mosmix/hourly.html (in origin unit)
checked by Martin Rätz 18.08.2023
aixweather.transformation_to_core_data.EPW module
This module includes a function to transform EPW data to core data format.
- aixweather.transformation_to_core_data.EPW.EPW_to_core_data(df_import: DataFrame, meta: MetaData) DataFrame[source]
Transform imported EPW (EnergyPlus Weather) data into core data format.
- Args:
df_import (pd.DataFrame): The DataFrame containing imported EPW weather data. meta (MetaData): Metadata associated with the data.
- Returns:
pd.DataFrame: The transformed DataFrame in the core data format.
aixweather.transformation_to_core_data.ERC module
This module includes functions to transform ERC data to core data format.
- aixweather.transformation_to_core_data.ERC.ERC_to_core_data(df_import: DataFrame, meta: MetaData) DataFrame[source]
Transform imported ERC (Energy Research Center) weather data into core data format.
- Args:
df_import (pd.DataFrame): The DataFrame containing imported ERC weather data. meta (MetaData): Metadata associated with the data.
- Returns:
pd.DataFrame: The transformed DataFrame in the core data format.
aixweather.transformation_to_core_data.TRY module
- aixweather.transformation_to_core_data.TRY.TRY_to_core_data(df_import: DataFrame, meta: MetaData) DataFrame[source]
Transform imported TRY data of the formats 2015 and 2045 into the core data format.
- Args:
df_import (pd.DataFrame): The DataFrame containing imported TRY weather data. meta (MetaData): Metadata associated with the data.
- Returns:
pd.DataFrame: The transformed DataFrame in the core data format.
aixweather.transformation_to_core_data.custom_file module
Change this file to your custom requirements. See the info file in the same directory for requirements of the returned df.