modin.pandas.Index.isna¶

Index.isna() → None[source]¶

Detect missing values.

Return a boolean same-sized object indicating if the values are NA. NA values, such as None, numpy.NaN or pd.NaT, get mapped to True values. Everything else get mapped to False values. Characters such as empty strings ‘’ or numpy.inf are not considered NA values.

Returns:

A boolean array of whether my values are NA.

Return type:

numpy.ndarray[bool]

See also

Index.notna

Boolean inverse of isna.

Index.dropna

Omit entries with missing values.

isna

Top-level isna.

Series.isna

Detect missing values in Series object.