dask.dataframe.rolling.Rolling.count

dask.dataframe.rolling.Rolling.count¶

Rolling.count()[source]¶

Calculate the rolling count of non NaN observations.

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

Some inconsistencies with the Dask version may exist.

Parameters

numeric_onlybool, default False (Not supported in Dask): Include only float, int, boolean columns.

New in version 1.5.0.

Returns

Series or DataFrame: Return type is the same as the original object with np.float64 dtype.

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    NaN
1    2.0
2    1.0
3    1.0
dtype: float64
>>> s.rolling(3).count()  
0    NaN
1    NaN
2    2.0
3    2.0
dtype: float64
>>> s.rolling(4).count()  
0    NaN
1    NaN
2    NaN
3    3.0
dtype: float64

dask.dataframe.rolling.Rolling.apply

dask.dataframe.rolling.Rolling.kurt