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# pandas.Series.isna

Series.isna()

  Detect missing values.

  Return a boolean same-sized Series indicating if the values are NA. NA values, such as None or `numpy.NaN`, get mapped to True values. Everything else gets mapped to False values. Characters such as empty strings `''` or `numpy.inf` are not considered NA values.

  Returns:
    Series

      Mask of bool values for each element in Series that indicates whether an element is an NA value.

  See also

  `DataFrame.isna`

    Detect missing values.

  `DataFrame.isnull`

    Alias of isna.

  `Series.notna`

    Boolean inverse of isna.

  `DataFrame.notna`

    Boolean inverse of isna.

  `Series.notnull`

    Alias of notna.

  `DataFrame.notnull`

    Alias of notna.

  `Series.dropna`

    Omit axes labels with missing values.

  `DataFrame.dropna`

    Omit axes labels with missing values.

  `isna`

    Top-level isna.

  Examples

  Show which entries in a Series are NA.

      >>> ser = pd.Series([5, 6, np.nan])
      >>> ser
      0    5.0
      1    6.0
      2    NaN
      dtype: float64
      >>> ser.isna()
      0    False
      1    False
      2     True
      dtype: bool