pandas.api.typing.Rolling.count

Rolling.count(numeric_only=False)

Calculate the rolling count of non NaN observations.

This is useful for identifying windows with missing data, as it counts only non-NaN entries within each window.

Parameters:

numeric_onlybool, default False

Include only float, int, boolean columns.

Returns:

Series or DataFrame

Return type is the same as the original object with np.float64 dtype.

See also

Series.rolling

Calling rolling with Series data.

DataFrame.rolling

Calling rolling with DataFrames.

Series.count

Aggregating count for Series.

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