Skip to main content

A succinct matplotlib wrapper for making beautiful, publication-quality graphics.

Project description

https://github.com/lukelbd/proplot/blob/master/docs/logo_long.png?raw=true

build status docs pypi black PR welcome license gitter doi

A succinct matplotlib wrapper for making beautiful, publication-quality graphics.

Documentation

The documentation is published on readthedocs.

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 proplot

Likewise, an existing installation of ProPlot can be upgraded to the latest version with:

pip install --upgrade proplot
conda upgrade proplot

To install a development version of ProPlot, you can use pip install git+https://github.com/lukelbd/proplot.git or clone the repository and run pip install -e . inside the proplot folder.

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

proplot-0.9.2.tar.gz (8.6 MB view details)

Uploaded Source

Built Distribution

proplot-0.9.2-py3-none-any.whl (8.0 MB view details)

Uploaded Python 3

File details

Details for the file proplot-0.9.2.tar.gz.

File metadata

  • Download URL: proplot-0.9.2.tar.gz
  • Upload date:
  • Size: 8.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.5

File hashes

Hashes for proplot-0.9.2.tar.gz
Algorithm Hash digest
SHA256 2c26697411aa7cc0c0f5f0006893f4efd9520a7cfd6af676775f3980f0b533d0
MD5 0c0cf86082cf1147ed4df47306c8fdf3
BLAKE2b-256 f8c0d7cca9cc880c346c343f0b5aa61fb17c86aea2c30938d483986a9161b7ba

See more details on using hashes here.

File details

Details for the file proplot-0.9.2-py3-none-any.whl.

File metadata

  • Download URL: proplot-0.9.2-py3-none-any.whl
  • Upload date:
  • Size: 8.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.5

File hashes

Hashes for proplot-0.9.2-py3-none-any.whl
Algorithm Hash digest
SHA256 23ea3b1545f9ff56563a5b2e92b41ed9b05534639cca590bef8b69007ce51885
MD5 527bd760e875ef1cc2a7ab0e232a86a4
BLAKE2b-256 5ecbd734f4726672ab79aadd17bd20d698d66dbdec788d55f93a073b29260ffc

See more details on using hashes here.

Supported by

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