pandas.Index.dropna#

Index.dropna(how='any')[source]#

Return Index without NA/NaN values.

Parameters:
how{‘any’, ‘all’}, default ‘any’

If the Index is a MultiIndex, drop the value when any or all levels are NaN.

Returns:
Index

Returns an Index object after removing NA/NaN values.

See also

Index.fillna

Fill NA/NaN values with the specified value.

Index.isna

Detect missing values.

Examples

>>> idx = pd.Index([1, np.nan, 3])
>>> idx.dropna()
Index([1.0, 3.0], dtype='float64')