Skip to main content

Python >= 3.9 Package License Code style Documentation Status PyPI package version PyPI download statistics Conda Forge Release Conda Forge Downloads Run notebook on google colab

KomPlot

KomPlot provides a convenience layer around selected matplotlib plotting functions, making it possible to construct a useful plot in a single function call, which is particularly useful for use within an interactive ipython or JupyterLab session. KomPlot also provides a number of interactive controls, including zooming by mouse wheel scroll, colormap shifts when viewing images, and shifting between displayed slices of a volume.

Installation

The online documentation includes installation instructions.

Usage Examples

Usage examples are available in directory examples.

License

KomPlot is distributed as open-source software under a BSD 3-Clause License (see the LICENSE file for details).

Metadata

Release files for komplot 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for komplot 0.0.3
File Size Uploaded
komplot-0.0.3.tar.gz 30.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for komplot 0.0.3
File Interpreter ABI Platform
komplot-0.0.3-py3-none-any.whl Python 3 none any Details

Total release size: 61.0 kB

Release files / komplot-0.0.3.tar.gz

Download URL komplot-0.0.3.tar.gz
Size 30.6 kB
Tags Source
SHA-256 checksum
How to use checksums
92d846dfe7bea162c7390ae5c95860584556728ec42ab18d89c4a0cb901bcfa5
BLAKE2b-256 checksum
How to use checksums
938f661df3cafe07b5f4b7285631d3c275cf3c7379681d6095f562f855b7bc26
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.12

Release files / komplot-0.0.3-py3-none-any.whl

Download URL komplot-0.0.3-py3-none-any.whl
Size 30.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
953569df6750ba37fd6b9216f3468ac005b19c2d34ad46184474506dc0c81647
BLAKE2b-256 checksum
How to use checksums
f656617a72b666e3c83348eac651dcd33fae46337911d3d8fc5f31ee86108a03
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.12
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page