databricks.koalas.DataFrame.var

DataFrame.var(axis=None, numeric_only=True)

Return unbiased variance.

Parameters

axis{index (0), columns (1)}

Axis for the function to be applied on.

numeric_onlybool, default True

Include only float, int, boolean columns. False is not supported. This parameter is mainly for pandas compatibility.

Returns

varscalar for a Series, and a Series for a DataFrame.

Examples

>>> df = ks.DataFrame({'a': [1, 2, 3, np.nan], 'b': [0.1, 0.2, 0.3, np.nan]},
...                   columns=['a', 'b'])

On a DataFrame:

>>> df.var()
a    1.00
b    0.01
Name: 0, dtype: float64

>>> df.var(axis=1)
0    0.405
1    1.620
2    3.645
3      NaN
Name: 0, dtype: float64

On a Series:

>>> df['a'].var()
1.0

databricks.koalas.DataFrame.std databricks.koalas.DataFrame.cummin