mplhep | Extended histogram plots on top of matplotlib and HEP | Data Visualization library

 by   scikit-hep Python Version: 0.3.43 License: MIT

kandi X-RAY | mplhep Summary

kandi X-RAY | mplhep Summary

mplhep is a Python library typically used in Analytics, Data Visualization applications. mplhep has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However mplhep has 1 bugs. You can install using 'pip install mplhep' or download it from GitHub, PyPI.

A set of helpers for matplotlib to more easily produce plots typically needed in HEP as well as style them in way that's compatible with current collaboration requirements (ROOT-like plots for CMS, ATLAS, LHCb, ALICE).
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              mplhep has a low active ecosystem.
              It has 150 star(s) with 52 fork(s). There are 4 watchers for this library.
              There were 4 major release(s) in the last 6 months.
              There are 17 open issues and 103 have been closed. On average issues are closed in 55 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of mplhep is 0.3.43

            kandi-Quality Quality

              OutlinedDot
              mplhep has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 31 code smells.

            kandi-Security Security

              mplhep has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mplhep code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              mplhep is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              mplhep releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 2645 lines of code, 129 functions and 23 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mplhep and discovered the below as its top functions. This is intended to give you an instant insight into mplhep implemented functionality, and help decide if they suit your requirements.
            • Plot histogram .
            • Plot a 2D histogram .
            • Plot text .
            • Plot a label .
            • Saves label text .
            • Append axes to the window .
            • Calculates the errors of the covariance matrix .
            • Compute the Poisson interval between two sums .
            • Compute overlap between two axes .
            • Plots a lumitext .
            Get all kandi verified functions for this library.

            mplhep Key Features

            No Key Features are available at this moment for mplhep.

            mplhep Examples and Code Snippets

            No Code Snippets are available at this moment for mplhep.

            Community Discussions

            QUESTION

            matplotlib mathtext font warning: Font 'default' does not have a glyph
            Asked 2021-Jan-08 at 23:36

            When trying to run a script (given below in the minimal working example) that sets non-default values for matplotlib.rcParams I am getting the maptplotlib warnings:

            ...

            ANSWER

            Answered 2021-Jan-08 at 23:36

            The fix ended up being more subtle than just the font list cache. I had more than just fontlist-v330.json in the matplotlib cache

            Source https://stackoverflow.com/questions/65625150

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

            Vulnerabilities

            No vulnerabilities reported

            Install mplhep

            A tutorial given at PyHEP 2020 is available as a binder here or you can watch the recording here. Documentation can be found at mplhep.readthedocs.io.

            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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            Install
          • PyPI

            pip install mplhep

          • CLONE
          • HTTPS

            https://github.com/scikit-hep/mplhep.git

          • CLI

            gh repo clone scikit-hep/mplhep

          • sshUrl

            git@github.com:scikit-hep/mplhep.git

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