# pandas.DataFrame.empty

property DataFrame.empty

  Indicator whether DataFrame is empty.

  True if DataFrame is entirely empty (no items), meaning any of the axes are of length 0.

  Returns
    bool

      If DataFrame is empty, return True, if not return False.

  See also

  `Series.dropna`

    Return series without null values.

  `DataFrame.dropna`

    Return DataFrame with labels on given axis omitted where (all or any) data are missing.

  Notes

  If DataFrame contains only NaNs, it is still not considered empty. See the example below.

  Examples

  An example of an actual empty DataFrame. Notice the index is empty:

      >>> df_empty = pd.DataFrame({'A' : []})
      >>> df_empty
      Empty DataFrame
      Columns: [A]
      Index: []
      >>> df_empty.empty
      True

  If we only have NaNs in our DataFrame, it is not considered empty! We will need to drop the NaNs to make the DataFrame empty:

      >>> df = pd.DataFrame({'A' : [np.nan]})
      >>> df
          A
      0 NaN
      >>> df.empty
      False
      >>> df.dropna().empty
      True