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    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

Window

pandas.core.window.rolling.Rolling.sum