Parameters

values : np.ndarray[np.float64]

window : int, size of rolling window

minp : if number of observations in window

is below this, output a NaN

index : ndarray, optional

index for window computation

closed : 'right', 'left', 'both', 'neither'

make the interval closed on the right, left, both or neither endpoints

Returns

np.ndarray[float]

Moving max of 1d array of any numeric type along axis=0 ignoring NaNs.

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

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