_histogram(a, numbins=10, defaultlimits=None, weights=None, printextras=False)
Separate the range into several bins and return the number of instances in each bin.
This histogram is based on numpy's histogram but has a larger range by default if default limits is not set.
Array of scores which will be put into bins.
The number of bins to use for the histogram. Default is 10.
The lower and upper values for the range of the histogram. If no value is given, a range slightly larger than the range of the values in a is used. Specifically (a.min() - s, a.max() + s), where s = (1/2)(a.max() - a.min()) / (numbins - 1).
The weights for each value in a. Default is None, which gives each value a weight of 1.0
If True, if there are extra points (i.e. the points that fall outside the bin limits) a warning is raised saying how many of those points there are. Default is False.
Number of points (or sum of weights) in each bin.
Lowest value of histogram, the lower limit of the first bin.
The size of the bins (all bins have the same size).
The number of points outside the range of the histogram.
Create a histogram.
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