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

This version

2.1.52

2.1.51

2.1.50

2.1.49

2.1.48

2.1.47

2.1.46

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-2.1.52.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

pytplot_mpl_temp-2.1.52-py3-none-any.whl (1.8 MB view details)

Uploaded Python 3

File details

Details for the file pytplot-mpl-temp-2.1.52.tar.gz.

File metadata

  • Download URL: pytplot-mpl-temp-2.1.52.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-2.1.52.tar.gz
Algorithm Hash digest
SHA256 00be7eee13cdb2bdef5e1ff6337995b351b45079b2e42130ab61c5cc3e5cf745
MD5 481cb947b6b9dcca1908888820d72e8d
BLAKE2b-256 a3af87b566bf970774eee7dc6884ba52b04ea483ccbe9ff81340cbd4ea4a11eb

See more details on using hashes here.

File details

Details for the file pytplot_mpl_temp-2.1.52-py3-none-any.whl.

File metadata

File hashes

Hashes for pytplot_mpl_temp-2.1.52-py3-none-any.whl
Algorithm Hash digest
SHA256 4dd55dfa5f378825c1cb9b2cbe4e4022fef028423026ad9a6de09f1dfaa062ba
MD5 b2a3166a4049a61804fe9bc2d5c9b421
BLAKE2b-256 aa5d4421f46726ebf7d37fb6bf27633cb20bc145c8c8c937dc56ceb35fff5399

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