Series.
empty
Indicator whether DataFrame is empty.
True if DataFrame is entirely empty (no items), meaning any of the axes are of length 0.
If DataFrame is empty, return True, if not return False.
See also
Series.dropna
DataFrame.dropna
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