cdm_reader_mapper.DataBundle.replace_columns

cdm_reader_mapper.DataBundle.replace_columns#

DataBundle.replace_columns(df_corr, subset=None, inplace=False, **kwargs)[source]#

Replace columns in data.

Parameters:

  • df_corr (pandas.DataFrame) – Data to be inplaced.

  • subset (str, list, optional) – Select subset by columns. This option is useful for multi-indexed data.

  • inplace (bool) – If True overwrite data in DataBundle else return a copy of DataBundle with replaced column names in data. Default: False

Return type:

DataBundle | None

Returns:

DataBundle or None – DataBundle with replaced column names or None if inplace=True.

Examples

>>> import pandas as pd
>>> df_corr = pd.read_csv("correction_file_on_disk")
>>> df_repl = db.replace_columns(df_corr)

Note

For more information see replace_columns()