xorbits.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.

返回

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

返回类型

bool

参见

Series.dropna

Return series without null values.

DataFrame.dropna

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

提示

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

实际案例

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

This docstring was copied from pandas.core.frame.DataFrame.