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pytplot

A python version of the IDL tplot libraries

https://github.com/mavensdc/pytplot

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ✓
    Committers with academic emails
    9 of 13 committers (69.2%) from academic institutions
  • ✓
    Institutional organization owner
    Organization mavensdc has institutional domain (lasp.colorado.edu)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (15.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

A python version of the IDL tplot libraries

Basic Info
  • Host: GitHub
  • Owner: MAVENSDC
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 233 MB
Statistics
  • Stars: 32
  • Watchers: 7
  • Forks: 14
  • Open Issues: 32
  • Releases: 15
Created over 9 years ago · Last pushed 8 months ago
Metadata Files
Readme License

README.md

build DOI

Full Documentation here: https://pytplot.readthedocs.io/en/latest/

Pytplot is a python package which aims to mimic the functionality of the IDL "tplot" libraries.

These plots have several user interaction tools built in, such as zooming and panning. The can be exported as standalone HTML files (to retain their interactivity) or as static PNG files.

Pytplot can be used in python scripts, or interactively through IPython and the Jupyter notebook.

Quick Start

Install Python

You will need the Anaconda distribution of Python 3 in order to run pytplot.

Anaconda <https://www.continuum.io/downloads/>_ comes with a suite of packages that are useful for data science.

Install pytplot

Open up a terminal, and type::

pip install pytplot

This will install pytplot and all of it's dependencies.

You will also need to install nodejs. This can be done through Anaconda with the following command::

conda install -c bokeh nodejs

Running Pytplot

To start using pytplot in a similar manner to IDL tplot, start up an interactive environment through the terminal command::

ipython

or, if you prefer the jupyter interactive notebook::

jupyter notebook

then, just import the package by typing the command::

import pytplot

A demo/tutorial can be found here: docs/pytplot_tutorial.html <http://htmlpreview.github.com/?https://github.com/MAVENSDC/PyTplot/blob/master/docs/pytplot_tutorial.html>_.

A full description of each function can be found in docs/build/index.html <http://htmlpreview.github.com/?https://github.com/MAVENSDC/PyTplot/blob/master/docs/build/index.html>_.

Alternatively, the PDF version is located in docs/build/PyTplot.pdf <https://github.com/MAVENSDC/PyTplot/blob/master/docs/build/PyTplot.pdf>_.

Contact

If you have any suggestions or notice any problems, don't hesitate to contact Bryan Harter: harter@lasp.colorado.edu

Copyright 2019 Regents of the University of Colorado. All Rights Reserved. Released under the MIT license. This software was developed at the University of Colorado's Laboratory for Atmospheric and Space Physics. Verify current version before use at: https://github.com/MAVENSDC/PyTplot

Owner

  • Name: MAVEN SDC
  • Login: MAVENSDC
  • Kind: organization

GitHub Events

Total
  • Issues event: 1
  • Watch event: 2
  • Delete event: 1
  • Issue comment event: 3
  • Push event: 44
  • Pull request event: 3
Last Year
  • Issues event: 1
  • Watch event: 2
  • Delete event: 1
  • Issue comment event: 3
  • Push event: 44
  • Pull request event: 3

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 747
  • Total Committers: 13
  • Avg Commits per committer: 57.462
  • Development Distribution Score (DDS): 0.656
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Bryan Harter h****r@l****u 257
Bryan Harter h****4@g****m 246
esalvolucas e****s@l****u 102
supervised e****s@i****u 74
Julie Barnum j****3@m****u 52
nickssl n****s@b****u 4
unknown h****r@W****u 3
Xiangning Chu c****g@g****m 2
nikos15 n****u@g****m 2
Jim McTiernan j****m@b****u 2
Takanobu Amano a****o@e****p 1
Elysia Lucas 3****s 1
rale8469 r****9@m****u 1
Committer Domains (Top 20 + Academic)
berkeley.edu: 2 lasp.colorado.edu: 2 macl63.lasp.colorado.edu: 1 eps.s.u-tokyo.ac.jp: 1 winl2976.lasp.colorado.edu: 1 macl3810.lasp.colorado.edu: 1 igpp.ucla.edu: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 66
  • Total pull requests: 90
  • Average time to close issues: 10 months
  • Average time to close pull requests: 11 days
  • Total issue authors: 18
  • Total pull request authors: 11
  • Average comments per issue: 0.95
  • Average comments per pull request: 0.37
  • Merged pull requests: 80
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 4
  • Average time to close issues: N/A
  • Average time to close pull requests: about 10 hours
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 3.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • bryan-harter (13)
  • jameswilburlewis (12)
  • esalvolucas (9)
  • supervised (4)
  • ghost (4)
  • sapols (4)
  • ericthewizard (3)
  • jibarnum (3)
  • ilgingell (2)
  • horit (2)
  • MAVENSDC (2)
  • LeonardVent (1)
  • EvaKraemer (1)
  • zemarchezi (1)
  • qiyycc (1)
Pull Request Authors
  • nickssl (57)
  • supervised (27)
  • xandrd (6)
  • jibarnum (5)
  • Beforerr (4)
  • jiashuwu89 (3)
  • pulupa (3)
  • amanotk (2)
  • xnchu (2)
  • shuji-onosawa (2)
  • jameswilburlewis (1)
Top Labels
Issue Labels
bug (10) enhancement (6)
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 5,767 last-month
  • Total docker downloads: 90
  • Total dependent packages: 3
    (may contain duplicates)
  • Total dependent repositories: 4
    (may contain duplicates)
  • Total versions: 280
  • Total maintainers: 5
pypi.org: pytplot-mpl-temp

A python version of IDL tplot libraries

  • Versions: 146
  • Dependent Packages: 2
  • Dependent Repositories: 3
  • Downloads: 5,235 Last month
  • Docker Downloads: 0
Rankings
Dependent packages count: 3.2%
Docker downloads count: 4.3%
Downloads: 6.4%
Average: 7.3%
Forks count: 8.9%
Dependent repos count: 8.9%
Stargazers count: 12.1%
Maintainers (4)
nickssl supervised jameswilburlewis spedasmaintainer
Last synced: 7 months ago
pypi.org: pytplot

A python version of IDL tplot libraries

  • Versions: 134
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 532 Last month
  • Docker Downloads: 90
Rankings
Docker downloads count: 2.8%
Dependent packages count: 4.8%
Forks count: 8.9%
Average: 10.6%
Stargazers count: 12.1%
Downloads: 13.5%
Dependent repos count: 21.6%
Maintainers (3)
MAVENSDC jameswilburlewis spedasmaintainer
Last synced: 7 months ago

Dependencies

requirements.txt pypi
  • bokeh >=1.1
  • cdflib *
  • matplotlib *
  • numpy >=1.20.0
  • pandas *
  • pyqt5 >=5.15.2
  • pyqtgraph >=0.11.1
  • pyqtwebengine >=5.15.2
  • scipy *
  • xarray *
.github/workflows/anaconda-build.yaml actions
  • actions/checkout v2 composite
.github/workflows/pypi-build.yaml actions
  • actions/checkout v2 composite
  • pypa/gh-action-pypi-publish master composite
.github/workflows/unittest.yaml actions
  • actions/checkout v2 composite
.devcontainer/Dockerfile docker
  • mcr.microsoft.com/vscode/devcontainers/base 0-${VARIANT} build