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. |
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See also
If DataFrame contains only NaNs, it is still not considered empty. See the example below.
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
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http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.DataFrame.empty.html