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.

Added 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