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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Release files for carlo 0.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| carlo-0.1.9.tar.gz | 7.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| carlo-0.1.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.0 kB
Release files / carlo-0.1.9.tar.gz
| Download URL | carlo-0.1.9.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
|
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Release files / carlo-0.1.9-py3-none-any.whl
| Download URL | carlo-0.1.9-py3-none-any.whl |
|---|---|
| Size | 8.2 kB |
| Tags | Python 3 |
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