pandas.Series.empty#
- property Series.empty[source]#
Indicator whether Series/DataFrame is empty.
True if Series/DataFrame is entirely empty (no items), meaning any of the axes are of length 0.
- Returns
- bool
If Series/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 Series/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
>>> ser_empty = pd.Series({'A' : []}) >>> ser_empty A [] dtype: object >>> ser_empty.empty False >>> ser_empty = pd.Series() >>> ser_empty.empty True