anom(self, axis=None, dtype=None)
Returns an array of anomalies, with the same shape as the input and where the arithmetic mean is computed along the given axis.
Axis over which the anomalies are taken. The default is to use the mean of the flattened array as reference.
Type to use in computing the variance. For arrays of integer type
the default is float32; for arrays of float types it is the same as the array type.
Compute the anomalies (deviations from the arithmetic mean) along the given axis.
mean
Compute the mean of the array.
>>> a = np.ma.array([1,2,3])See :
... a.anom() masked_array(data=[-1., 0., 1.], mask=False, fill_value=1e+20)
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