carlo
Named after the Monte Carlo algorithm, this module displays interactive histograms of streaming/online data. It's meant for quickly visualizing distributions, and it'll keep refining its histogram as new data comes in.
Accepts lists, generators, numbers from stdin, or a function to be repeatdly evaluated. Displays data as histograms with automagic bin allocation, and extra statistics in legends.
Example 1
Compare samples from one 20-sided dice vs three 6-sided dices.
Imported:
from carlo import plot, d
plot(lambda: d(20), lambda: d(6)+d(6)+d(6))
Or as standalone module (where d(n) simulates the roll of a n-sided dice):
carlo "d(20)" "d(6)+d(6)+d(6)"
Example 2
Sample values from max(0.5, random()**0.2).
Imported:
from carlo import plot
from random import random
plot(lambda: max(0.5, random()**0.2))
Or as standalone module (all functions from the random module are automatically available).
carlo "max(0.5, random()**0.2)"
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