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# 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