A python version of IDL tplot libraries

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jameswilburlewis from gravatar.com jameswilburlewis Avatar for nickssl from gravatar.com nickssl Avatar for supervised from gravatar.com supervised

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: MAVEN SDC
  • Tags tplot, maven, lasp, IDL, spedas
  • Requires: Python >=3.6
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jameswilburlewis from gravatar.com jameswilburlewis Avatar for nickssl from gravatar.com nickssl Avatar for supervised from gravatar.com supervised

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: MAVEN SDC
  • Tags tplot, maven, lasp, IDL, spedas
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

2.2.50

2.2.49

2.2.48

2.2.47

2.2.46

2.2.45

2.2.44

2.2.43

2.2.42

2.2.41

2.2.40

2.2.39

2.2.38

2.2.37

2.2.36

2.2.35

2.2.34

2.2.33

2.2.32

2.2.31

2.2.30

2.2.29

2.2.28

2.2.27

2.2.26

2.2.25

2.2.24

2.2.23

2.2.22

2.2.21

2.2.20

2.2.19

2.2.18

2.2.17

2.2.16

2.2.15

2.2.14

2.2.13

2.2.12

2.2.11

2.2.10

2.2.9

2.2.8

2.2.7

2.2.6

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.2.0

2.1.53

2.1.52

2.1.51

2.1.50

2.1.49

2.1.48

2.1.47

2.1.46

This version

2.1.45

2.1.44

2.1.43

2.1.42

2.1.41

2.1.40

2.1.39

2.1.38

2.1.37

2.1.36

2.1.35

2.1.34

2.1.33

2.1.32

2.1.31

2.1.30

2.1.29

2.1.28

2.1.27

2.1.26

2.1.25

2.1.24

2.1.23

2.1.22

2.1.21

2.1.20

2.1.19

2.1.17

2.1.16

2.1.15

2.1.14

2.1.13

2.1.12

2.1.11

2.1.10

2.1.9

2.1.8

2.1.7

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

0.0.0 yanked

Reason this release was yanked:

typo in config file

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-2.1.45.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

pytplot_mpl_temp-2.1.45-py3-none-any.whl (1.8 MB view details)

Uploaded Python 3

File details

Details for the file pytplot-mpl-temp-2.1.45.tar.gz.

File metadata

  • Download URL: pytplot-mpl-temp-2.1.45.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for pytplot-mpl-temp-2.1.45.tar.gz
Algorithm Hash digest
SHA256 c094654d4c0ed875db924b67199554d46e1d352035d2942c2867f4e3b5d5a7d9
MD5 0d3ad9c9acffc3e8637b4cb0dc540137
BLAKE2b-256 1b87a8ed88fd29248f318d4393550ec245d73d2f0911ce44efcc53ed9a4ec64b

See more details on using hashes here.

File details

Details for the file pytplot_mpl_temp-2.1.45-py3-none-any.whl.

File metadata

File hashes

Hashes for pytplot_mpl_temp-2.1.45-py3-none-any.whl
Algorithm Hash digest
SHA256 279a8f914ea386c7163a361d4ae29a7f2fca7a5c5cef5124d86c72fe6a798e4e
MD5 a18484fe79a9920acda43ed5f1f3130e
BLAKE2b-256 ec60974279aad5130c29535ad41537faac1d478c3ae4d0be6adb6ba93585392d

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