Skip to main content

A set of utilities for data science using python, imgui, numpy and opencv

Project description

A set of utilities for data science using python, imgui, numpy and opencv

Features

View the full demo (1’50”) on youtube:

https://www.youtube.com/watch?v=qstEZyLGsTQ&feature=youtu.be

Run it after install:

python -m imgui_datascience –example

Display numpy.ndarray (aka opencv image)

The following types are supported : RGB, RGBA, GRAY, float32, float64

Display matplotlib figures

Inspect images

  • show pixels color (or float values)

  • adjust visibility for float images

  • save images

  • zoom & pan (with possible sync between 2 images)

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

imgui_datascience-0.3.2.tar.gz (307.1 kB view details)

Uploaded Source

Built Distribution

imgui_datascience-0.3.2-py2.py3-none-any.whl (249.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file imgui_datascience-0.3.2.tar.gz.

File metadata

  • Download URL: imgui_datascience-0.3.2.tar.gz
  • Upload date:
  • Size: 307.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for imgui_datascience-0.3.2.tar.gz
Algorithm Hash digest
SHA256 34470e0cec3d350a0a605776fd29022a6b7fb2ab76c0a7f82e7d2231a3723a9b
MD5 29016629e11a6b99144bad246901ecca
BLAKE2b-256 3001988f582c487fa9e931e405b8675d4892dc2aba21f7760ded17725e679bae

See more details on using hashes here.

File details

Details for the file imgui_datascience-0.3.2-py2.py3-none-any.whl.

File metadata

  • Download URL: imgui_datascience-0.3.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 249.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for imgui_datascience-0.3.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ab39b0f0cc941e2e1a633a04e0c9af14aa1ce0190ccab86ac4b87fac34361dfd
MD5 8be889ebcfc1b9e2fceccaa016e089d1
BLAKE2b-256 dd304d400aa8140adc12c9b07dec55ae4fe2badef61403e0797fd790cba15537

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