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 levelsare NaN.

Returns:

Index

Examples

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