Skip to main content

histoprint

Project description

Pretty print Numpy histograms to the console

How does it work?

Histoprint uses a mix of terminal color codes and unicode trickery (i.e. combining characters) to plot overlaying histograms.

Examples

Some examples:

import numpy as np
from histoprint import text_hist, print_hist

A = np.random.randn(1000) - 2
B = np.random.randn(1000)
C = np.random.randn(1000) + 2
D = np.random.randn(500) * 2

# text_hist is a thin wrapper for numpy.histogram
text_hist(
    B, bins=[-5, -3, -2, -1, -0.5, 0, 0.5, 1, 2, 3, 5], title="Variable bin widths"
)

histA = np.histogram(A, bins=15, range=(-5, 5))
histB = np.histogram(B, bins=15, range=(-5, 5))
histC = np.histogram(C, bins=15, range=(-5, 5))
histD = np.histogram(D, bins=15, range=(-5, 5))
histAll = ([histA[0], histB[0], histC[0], histD[0]], histA[1])

# print_hist can be used to print multiple histograms at once
# (or just to print a single one as returned by numpy.histogram)
print_hist(histAll, title="Overlays", labels="ABCDE")
print_hist(
    histAll,
    title="Stacks",
    stack=True,
    symbols="      ",
    bg_colors="rgbcmy",
    labels="ABCDE",
)
print_hist(
    histAll,
    title="Summaries",
    symbols=r"=|\/",
    fg_colors="0",
    bg_colors="0",
    labels=["AAAAAAAAAAAAAAAA", "B", "CCCCCCCCCCCCC", "D"],
    summary=True,
)
examples.png

The last example does not use terminal colors, so it can be copied as text:

                                   Summaries
-5.00e+00 _
-4.33e+00 _═⃫
-3.67e+00 _═⃫═⃫═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏
-3.00e+00 _═⃫═⃫═⃫═⃫═⃫═⃫═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏
-2.33e+00 _╪⃫╪⃫═⃫═⃫═⃫═⃫═⃫═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏
-1.67e+00 _╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫═⃫═⃫═⃫═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏
-1.00e+00 _╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏═͏
-3.33e-01 _╪⃥⃫╪⃥⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪⃫╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏╪͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏
 3.33e-01 _╪⃥⃫╪⃥⃫╪⃥⃫╪⃥⃫╪⃥⃫╪⃥⃫╪⃫╪⃫╪⃫╪⃫│⃫│⃫│⃫│⃫│⃫│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏
 1.00e+00 _╪⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏│͏
 1.67e+00 _│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥│⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥
 2.33e+00 _│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥⃫│⃥│⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥
 3.00e+00 _│⃥⃫│⃥⃫ ⃥⃫ ⃥⃫ ⃥⃫ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥
 3.67e+00 _ ⃥⃫ ⃥⃫ ⃥⃫ ⃥⃫ ⃥⃫ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥
 4.33e+00 _ ⃥⃫ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥ ⃥
 5.00e+00 _ ⃥⃫ ⃥
             ═͏ AAAAAAAAAAAAAAAA │͏ B          ⃥ CCCCCCCCCCCCC  ⃫ D
       Sum:  9.99e+02           1.00e+03    9.99e+02        4.92e+02
       Avg: -1.98e+00           1.13e-02    1.99e+00       -1.71e-01
       Std:  1.03e+00           1.03e+00    9.94e-01        2.00e+00

How to get it?

$ pip install [--user] histoprint

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

histoprint-1.0.1.tar.gz (7.8 kB view details)

Uploaded Source

Built Distribution

histoprint-1.0.1-py2.py3-none-any.whl (8.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file histoprint-1.0.1.tar.gz.

File metadata

  • Download URL: histoprint-1.0.1.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2

File hashes

Hashes for histoprint-1.0.1.tar.gz
Algorithm Hash digest
SHA256 b3cb9c5c8882dd4819f885d95a0cb32b473e1d9f96bf5b6d691234bd95852073
MD5 566150ac71b692f94836c5147133df74
BLAKE2b-256 0baf564b59b009c8df632553f46b4b3c3139795d9ac769e332b5f5e20fa0ac55

See more details on using hashes here.

File details

Details for the file histoprint-1.0.1-py2.py3-none-any.whl.

File metadata

  • Download URL: histoprint-1.0.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 8.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2

File hashes

Hashes for histoprint-1.0.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 e01c9e6a6174021be8df3076451af055c19a923c279b7de7c6c5e964a528efe3
MD5 ec5a8a4ec9033bd30e26a6e3e393da1b
BLAKE2b-256 5c50751c89d85849d2154dd33d749be236e7881802a3758aaba7073e7bd0679c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page