Skip to main content

A python version of IDL tplot libraries

Project description

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

Project details


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

pytplot-mpl-temp-2.1.48.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

pytplot_mpl_temp-2.1.48-py3-none-any.whl (1.8 MB view details)

Uploaded Python 3

File details

Details for the file pytplot-mpl-temp-2.1.48.tar.gz.

File metadata

  • Download URL: pytplot-mpl-temp-2.1.48.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for pytplot-mpl-temp-2.1.48.tar.gz
Algorithm Hash digest
SHA256 7bc2da8c9a0ae3d702eed0c92d639dcf8004f1f4da58115d346f340fde0f2703
MD5 61e25e06d1475f3b18dcadc012a07c6c
BLAKE2b-256 3fddf535089c26c62d90b1b225dba173fe203c85c9bc3400741bbad5fab55237

See more details on using hashes here.

File details

Details for the file pytplot_mpl_temp-2.1.48-py3-none-any.whl.

File metadata

File hashes

Hashes for pytplot_mpl_temp-2.1.48-py3-none-any.whl
Algorithm Hash digest
SHA256 982607099ffd21adf7c46165ccf6818c14df84370af37d84c9c876ee4c17800c
MD5 f3be84bcc4f70e2b2597d4bf5b41a2c2
BLAKE2b-256 a6d8782d23ce2f412933c63b111bae87b35c230a1cdd2b144508cbe2f4619983

See more details on using hashes here.

Supported by

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