drop

NestSeriesAccessor.drop(column: str | list[str]) → NestedSeries

Remove the column(s) from the series and return a new series

Note, that at least one nested column must be left in the series.

Parameters:

column (str or list[str]) – Name of the column(s) to remove.

Returns:

The new series without the column(s).

Return type:

NestedSeries

Examples

>>> from nested_pandas.datasets.generation import generate_data
>>> nf = generate_data(5, 2, seed=1)

>>> nf["nested"].nest.drop("flux")
0    [{t: 8.38389, flux_error: 1.0, band: 'r'}; …] ...
1    [{t: 13.70439, flux_error: 1.0, band: 'g'}; …]...
2    [{t: 4.089045, flux_error: 1.0, band: 'g'}; …]...
3    [{t: 17.562349, flux_error: 1.0, band: 'r'}; …...
4    [{t: 0.547752, flux_error: 1.0, band: 'g'}; …]...
Name: nested, dtype: nested<t: [double], flux_error: [double], band: [string]>