dtoolkit.accessor.series.dropna_index#

dtoolkit.accessor.series.dropna_index(s: Series, /, how: Literal['any', 'all'] = 'any') → Series[source]#

Return a new Series with missing index removed.

Parameters:

how{“any”, “all”}, default “any”: If the Index is a MultiIndex, drop the value when “any” or “all” levels are NaN.

Returns:

Series

Raises:

ValueError: If how isn’t “any” or “all”.

See also

pandas.Series.dropna
dtoolkit.accessor.series.dropna_index
dtoolkit.accessor.dataframe.dropna_index

Examples

>>> import dtoolkit
>>> import pandas as pd
>>> df = pd.DataFrame({"a": [1, 2], "b": [3, 4]}, index=[None, 0])
>>> df
     a  b
NaN  1  3
0.0  2  4
>>> df.dropna_index()
     a  b
0.0  2  4