xorbits.pandas.DataFrame.isnull#
- DataFrame.isnull()#
DataFrame.isnull is an alias for DataFrame.isna.
Detect missing values.
Return a boolean same-sized object indicating if the values are NA. NA values, such as None or
numpy.NaN
, gets mapped to True values. Everything else gets mapped to False values. Characters such as empty strings''
ornumpy.inf
are not considered NA values (unless you setpandas.options.mode.use_inf_as_na = True
).- Returns
Mask of bool values for each element in DataFrame that indicates whether an element is an NA value.
- Return type
See also
DataFrame.isnull
Alias of isna.
DataFrame.notna
Boolean inverse of isna.
DataFrame.dropna
Omit axes labels with missing values.
isna
Top-level isna.
Examples
Show which entries in a DataFrame are NA.
>>> df = pd.DataFrame(dict(age=[5, 6, np.NaN], ... born=[pd.NaT, pd.Timestamp('1939-05-27'), ... pd.Timestamp('1940-04-25')], ... name=['Alfred', 'Batman', ''], ... toy=[None, 'Batmobile', 'Joker'])) >>> df age born name toy 0 5.0 NaT Alfred None 1 6.0 1939-05-27 Batman Batmobile 2 NaN 1940-04-25 Joker
>>> df.isna() age born name toy 0 False True False True 1 False False False False 2 True False False False
Show which entries in a Series are NA.
>>> ser = pd.Series([5, 6, np.NaN]) >>> ser 0 5.0 1 6.0 2 NaN dtype: float64
>>> ser.isna() 0 False 1 False 2 True dtype: bool
This docstring was copied from pandas.core.frame.DataFrame.