add_columns_to_dataframe

trashpanda.add_columns_to_dataframe(frame_to_enlarge: pandas.core.frame.DataFrame, column_names: List[str], fill_value: Optional[Any] = None) → pandas.core.frame.DataFrame

Adds columns to a dataframe. By default the columns are filled with pandas.NA values if no fill_value is explizitly given.

Parameters

frame_to_enlarge (DataFrame) – pandas.DataFrame which gets additional columns.
column_names (List[str]) – Names of additional columns to create.
fill_value (Optional[Any]) – Value which will fill the newly created columns. Default pandas.NA

Returns

DataFrame

Examples

>>> from pandas import DataFrame
>>> import numpy
>>> sample_series = DataFrame(numpy.arange(4).reshape((2,2)), columns=["b", "a"])
>>> sample_series
   b  a
0  0  1
1  2  3
>>> add_columns_to_dataframe(sample_series, ["d", "c"], "+")
   b  a  d  c
0  0  1  +  +
1  2  3  +  +
>>> add_columns_to_dataframe(sample_series, ["d", "c"])
   b  a   d   c
0  0  1 NaN NaN
1  2  3 NaN NaN