Skip to main content

A python version of IDL tplot libraries

Project description

build DOI

pytplot - matplotlib version

Pytplot is a python package which aims to mimic the functionality of the IDL "tplot" libraries for analysis and visualization of heliophysics time series data.

This is the modified (matplotlib) version of the pytplot package. This version is used in the pyspedas project, which is a python rewrite of the IDL SPEDAS software.

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

How It Works

Data is read into pytplot by using the "store_data" command. Each dataset is assigned a unique name by the user.

The data is stored in a "tplot variable" class. The tplot variables contain all the information required to create a plot of the dataset. The details of the plot, such as axis titles, types, line colors, etc, can be changed through other functions in pytplot.

Install Python

You need to install Python 3.8 or later.

Install pytplot

Open up a terminal, and type::

pip install pytplot-mpl-temp

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

Since this version is designed to be used with pyspedas, you can also install it by installing pyspedas:

pip install pyspedas

To update the package to the latest released version, use:

pip install pytplot-mpl-temp --upgrade
pip install pyspedas --upgrade

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

Contact

If you have any suggestions or notice any problems, don't hesitate to contact Jim Lewis: jwl@ssl.berkeley.edu

The original version of pytplot was developed by Bryan Harter: harter@lasp.colorado.edu

License

Released under the MIT license.

Additional Information

PySPEDAS: https://github.com/spedas/pyspedas

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-2.2.30.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

pytplot_mpl_temp-2.2.30-py3-none-any.whl (1.8 MB view details)

Uploaded Python 3

File details

Details for the file pytplot-mpl-temp-2.2.30.tar.gz.

File metadata

  • Download URL: pytplot-mpl-temp-2.2.30.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-2.2.30.tar.gz
Algorithm Hash digest
SHA256 e3212f5f8fde43eb8a69f5278bc0b1b126a1e029e27a4b925ad702b593636d4a
MD5 42aab3d5c4376d512851d5621fd490cd
BLAKE2b-256 41e76281b21b1e68b95ec217ab919bda659f6d044e42236223410fa6bc6cd497

See more details on using hashes here.

File details

Details for the file pytplot_mpl_temp-2.2.30-py3-none-any.whl.

File metadata

File hashes

Hashes for pytplot_mpl_temp-2.2.30-py3-none-any.whl
Algorithm Hash digest
SHA256 90b040b995b1e869d7a4bb6bd13277df6f7d317a72e303eee9f51f9f259e94f9
MD5 22fd58db65f444816542e4de5e89c5c0
BLAKE2b-256 ae0883fb707ac939e84ff874e5d9390e601c8ca556abb263faf82837d11263c3

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