mpl_preamble | A set of simple matplotlib customisations

by kianho Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | mpl_preamble Summary

mpl_preamble is a Python library. mpl_preamble has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A set of simple matplotlib customisations.

Support

Quality

Security

License

Reuse

Support

mpl_preamble has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

mpl_preamble has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mpl_preamble is current.

Quality

mpl_preamble has no bugs reported.

Security

mpl_preamble has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

mpl_preamble is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

mpl_preamble releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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mpl_preamble Key Features

No Key Features are available at this moment for mpl_preamble.

mpl_preamble Examples and Code Snippets

No Code Snippets are available at this moment for mpl_preamble.

Community Discussions

No Community Discussions are available at this moment for mpl_preamble.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mpl_preamble

You can download it from GitHub.
You can use mpl_preamble like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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