A Toolbox for Matplotlib
Project description
Installation
This project is published on the Python Package Index (PyPI) at: https://pypi.org/project/mplb-tools-36/. It should be installable from Python distribution platforms or Integrated Development Environments (IDEs). Otherwise, it can be installed from a command console:
- For all users, after acquiring administrative rights:
First installation: pip install mplb-tools-36
Installation update: pip install --upgrade mplb-tools-36
- For the current user (no administrative rights required):
First installation: pip install --user mplb-tools-36
Installation update: pip install --user --upgrade mplb-tools-36
Documentation
The documentation is available at https://src.koda.cnrs.fr/eric.debreuve/mplb-tools-36/-/wikis/home.
Acknowledgments
The project is developed with PyCharm Community.
The development relies on several open-source packages (see install_requires in setup.py, if present; otherwise import statements should be searched for).
The code is formatted by Black, The Uncompromising Code Formatter.
The imports are ordered by isort… your imports, so you don’t have to.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file mplb-tools-36-2023.1.tar.gz
.
File metadata
- Download URL: mplb-tools-36-2023.1.tar.gz
- Upload date:
- Size: 27.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d3dcd58bb8d53fd06b5125d2d3fb6c9322910b17943acb4e9921639b770c1b32 |
|
MD5 | a2cdc8f56cda4ba925929c12fee20e79 |
|
BLAKE2b-256 | b72f1d981df73c2062fcd277546fc40424badbfcc854ed8c727cbf38918e3a95 |
File details
Details for the file mplb_tools_36-2023.1-py3-none-any.whl
.
File metadata
- Download URL: mplb_tools_36-2023.1-py3-none-any.whl
- Upload date:
- Size: 28.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a4b89ded9cff9d204dbfe5c3f69786d7a7b9005f9e94540eb19bb28839c91e45 |
|
MD5 | bfa884133588b3b49b45d0740fcb0e37 |
|
BLAKE2b-256 | 9654d5f2f5d3e7424c7735b226801bf91d4cceec96131aa2b7cc0b1208e16fb3 |