carlo 0.1.6

Interactively plot streaming sequences of numbers

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):

$ python -m 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).

$ python -m carlo "max(0.5, random()**0.2)"