pandas 1.4.2

ParametersReturns
std(self, ddof: 'int' = 1, *args, **kwargs)
versionadded

Parameters

**kwargs :

Keyword arguments to configure the SciPy weighted window type.

Returns

Series or DataFrame

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

Calculate the rolling weighted window standard deviation.

See Also

pandas.DataFrame.rolling

Calling rolling with DataFrames.

pandas.DataFrame.std

Aggregating std for DataFrame.

pandas.Series.rolling

Calling rolling with Series data.

pandas.Series.std

Aggregating std for Series.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /pandas/core/window/rolling.py#1251
type: <class 'function'>
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