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NotesParametersReturnsBackRef
power_divergence(f_obs, f_exp=None, ddof=0, axis=0, lambda_=None)

Notes

Parameters

f_obs : array_like
f_exp : array_like, optional
ddof : int, optional
axis : int or None, optional
lambda_ : float or str, optional

Returns

statistic : float or ndarray
pvalue : float or ndarray

See Also

chisquare

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.stats.contingency:chi2_contingency scipy.stats._stats_py:power_divergence scipy.stats._stats_py:chisquare scipy.stats._morestats:median_test

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


GitHub : /scipy/stats/_stats_py.py#7203
type: <class 'function'>
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