DataFrame.empty ⚬ Entries

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DataFrame.empty ⚬｜Documentation｜1st｜20251021132039-00-⌔

pandas.DataFrame.empty — pandas 2.3.3 documentation#pandas.DataFrame.empty

property DataFrame.empty

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

Printed 2026-06-28.

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