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

Examples

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