pandas.core.window.rolling.Rolling.count

Rolling.count(numeric_only=False)[source]

Calculate the rolling count of non NaN observations.

Parameters

numeric_only:bool, default False

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    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