pandas.api.typing.Expanding.count

Expanding.count(numeric_only=False)

Calculate the expanding count of non NaN observations.

At each point in time, returns the number of non-NaN values seen so far. This is useful for tracking data availability across an expanding 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.expanding

Calling expanding with Series data.

DataFrame.expanding

Calling expanding with DataFrames.

Series.count

Aggregating count for Series.

DataFrame.count

Aggregating count for DataFrame.

Examples

>>> ser = pd.Series([1, 2, 3, 4], index=["a", "b", "c", "d"])
>>> ser.expanding().count()
a    1.0
b    2.0
c    3.0
d    4.0
dtype: float64