pandas.core.window.rolling.Rolling.count#

Rolling.count(numeric_only=False)[source]#

Calculate the rolling count of non NaN observations.

Parameters
numeric_onlybool, 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    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