pandas.NA#

pandas.NA = <NA>#

NA (“not available”) missing value indicator.

Warning

Experimental: the behaviour of NA can still change without warning.

The NA singleton is a missing value indicator defined by pandas. It is used in certain new extension dtypes (currently the “string” dtype).

See also

numpy.nan: Floating point representation of Not a Number (NaN) for numerical data.
isna: Detect missing values for an array-like object.
notna: Detect non-missing values for an array-like object.
DataFrame.fillna: Fill missing values in a DataFrame.
Series.fillna: Fill missing values in a Series.

Examples

>>> pd.NA
<NA>

>>> True | pd.NA
True

>>> True & pd.NA
<NA>

>>> pd.NA != pd.NA
<NA>

>>> pd.NA == pd.NA
<NA>

>>> True | pd.NA
True