A comprehensive, easy-to-use matplotlib wrapper for making beautiful, publication-quality graphics.
Project description
A comprehensive, easy-to-use matplotlib wrapper for making beautiful, publication-quality graphics.
Installation
ProPlot is published on PyPi and conda-forge. It can be installed with pip or conda as follows:
pip install proplot
conda install -c conda-forge proplotLikewise, an existing installation of ProPlot can be upgraded to the latest version with:
pip install --upgrade proplot
conda upgrade proplotIf you used pip install git+https://github.com/lukelbd/proplot.git to install ProPlot before it was released on PyPi, you may need to run pip uninstall proplot before upgrading. To install a development version of ProPlot, you can use this same method, or clone the repository and run pip install --upgrade . inside the proplot folder.
Documentation
The documentation is published on readthedocs.
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file proplot-0.4.2.tar.gz.
File metadata
- Download URL: proplot-0.4.2.tar.gz
- Upload date:
- Size: 8.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0.post20200106 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7960185ddf9fe0acd97977ab3371a07778c148796ab0af0632626b45dc270e3d
|
|
| MD5 |
1822d591af23c033f59a7353d619ea3e
|
|
| BLAKE2b-256 |
e3fca80ec4430fce9b5ca3912f5f2bcc95892e5cc6660caef032d401ba201927
|
File details
Details for the file proplot-0.4.2-py2.py3-none-any.whl.
File metadata
- Download URL: proplot-0.4.2-py2.py3-none-any.whl
- Upload date:
- Size: 7.8 MB
- 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/44.0.0.post20200106 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2b7d33cb2f683dd97ad09c6eb6e112583e254f8ed19e590119b1822f567cfc71
|
|
| MD5 |
fe83d5d0614ad09863058b2477448eee
|
|
| BLAKE2b-256 |
bc50a93140218aa4bad522748184a61456aafbc864f75565600806fb14db5b77
|
