find_repeats(arr)
In numpy >= 1.9 numpy.unique(?) provides similar functionality. The main difference is that find_repeats only returns repeated values.
Input array. This is cast to float64.
The unique values from the (flattened) input that are repeated.
Number of times the corresponding 'value' is repeated.
Find repeats and repeat counts.
from scipy import stats
stats.find_repeats([2, 1, 2, 3, 2, 2, 5])
stats.find_repeats([[10, 20, 1, 2], [5, 5, 4, 4]])
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