xorbits.pandas.window.Rolling.count#

Rolling.count()[source]#

Calculate the rolling count of non NaN observations.

Parameters

numeric_only (bool, default False (Not supported yet)) –

Include only float, int, boolean columns.

New in version 1.5.0.

Returns

Return type is the same as the original object with np.float64 dtype.

Return type

Series or DataFrame

See also

pandas.Series.rolling: Calling rolling with Series data.
pandas.DataFrame.rolling: Calling rolling with DataFrames.
pandas.Series.count: Aggregating count for Series.
pandas.DataFrame.count: Aggregating count for DataFrame.

Examples

>>> s = pd.Series([2, 3, np.nan, 10])  
>>> s.rolling(2).count()  
0    1.0
1    2.0
2    1.0
3    1.0
dtype: float64
>>> s.rolling(3).count()  
0    1.0
1    2.0
2    2.0
3    2.0
dtype: float64
>>> s.rolling(4).count()  
0    1.0
1    2.0
2    2.0
3    3.0
dtype: float64

This docstring was copied from pandas.core.window.rolling.Rolling.