1 file was added to this release more than 14 days after its initial publication. Inspect the release files before installing.
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
3 maintainers
Metadata
3 maintainers
Release files for pytplot 1.7.28
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
File added late
1 file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release files before installing.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pytplot-1.7.28.tar.gz | 1.7 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pytplot-1.7.28-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.4 MB
Release files / pytplot-1.7.28.tar.gz
| Download URL | pytplot-1.7.28.tar.gz |
|---|---|
| Size | 1.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
edd6f5dda4404496d59131b1e05fd39e98c26ad7d42a0ae9f8b351c07112c425
|
|
BLAKE2b-256 checksum How to use checksums |
69be1a6d230ec86a5ad68e89c41edaafcd7e03f806c7cbf547e84f3ea7ef1357
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7
|
Release files / pytplot-1.7.28-py3-none-any.whl
File added late
This file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release file before installing.
| Download URL | pytplot-1.7.28-py3-none-any.whl |
|---|---|
| Size | 1.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
365ff2c94c1b8fff6090c5a90788f063cbdb79b37ac007dcc6b4012a4d180252
|
|
BLAKE2b-256 checksum How to use checksums |
6388c6d7561533ad95dc57cb8f73e37b30184a9f15c32f6c17480c8595c0a36b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.18
|
Security for pytplot 1.7.28
Upload timing
File added late
1 file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
