Metadata-Version: 2.1
Name: isthmuslib
Version: 0.0.29
Summary: Misc utilities, mostly related to plotting
Home-page: https://github.com/mitchellpkt/python-isthmuslib
Author: Isthmus (Mitchell P. Krawiec-Thayer)
Author-email: isthmuslib@mitchellpkt.com
License: LGPL-3.0-only
Project-URL: Changelog, https://github.com/mitchellpkt/python-isthmuslib/blob/master/CHANGELOG.rst
Project-URL: Issue Tracker, https://github.com/mitchellpkt/python-isthmuslib/issues
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Utilities
Requires-Python: >=3.6
License-File: LICENSE
License-File: AUTHORS.rst

========
Overview
========



Misc utilities, mostly related to plotting conveniences

* Turns matplotlib.pyplot figure generation into one-liners.
* Free software for personal or academic use: **GNU Lesser General Public License v3 (LGPLv3).**
* Contact licensing@mitchellpkt.com for commercial applications.
* To-do: expand types of parameters that can be passed through (e.g. marker style, legend placement, etc).

Installation
============

::

    pip install isthmuslib

You can also install the in-development version with::

    pip install https://github.com/mitchellpkt/python-isthmus/archive/master.zip


Documentation
=============


To use the project:

.. code-block:: python

    import isthmuslib


Demo
=============
See a light demo here: https://github.com/Mitchellpkt/python-isthmuslib/blob/main/light-demo.ipynb


Changelog
=========

0.0.4 (2021-02-14)
------------------

* First release on PyPI.

0.0.5 (2021-02-15)
------------------

* Extra data set
* Dictionary scatter

0.0.6 (2021-02-15)
------------------

* Minor tweaks (extra passthroughs)

0.0.7 (2021-02-15)
------------------

* Minor tweaks
* Fixes a few bad links in README
* Updates the changelog

0.0.8 (2021-02-17)
------------------

* Adds data frame overviews


0.0.9 (2021-02-17)
------------------

* Allows specification of plot types in 2d

0.0.10 (2021-02-19)
-------------------

* Cumulative histograms

0.0.11 (2021-02-19)
-------------------

* Histogram normalization

0.0.12 (2021-02-25)
-------------------

* Heatmaps

0.0.13 (2021-02-26)
-------------------

* Feature engineering code generator

0.0.14 (2021-02-26)
-------------------

* Adds print template

0.0.15 (2021-03-14)
-------------------

* Adds requirements

0.0.16 (2021-03-14)
-------------------

* Fixes histogram color passthrough

0.0.17 (2021-03-14)
-------------------

* Adds internal face color for histogram (probably extend to others later)

0.0.18 (2021-03-28)
-------------------

* Adds gaussian demo data
* Histagram alpha parameter

0.0.19 (2021-04-09)
-------------------

* Adds rolling mean and median to scatter function

0.0.20 (2021-04-09)
-------------------

* Fixes mean / median bugs

0.0.21 (2021-04-09)
-------------------

* Fixes mean / median bugs

0.0.22 (2021-04-09)
-------------------

* Adds line of best fit

0.0.23 (2021-04-11)
-------------------

* Adds watermark

0.0.24 (2021-04-11)
-------------------

* Adds color

0.0.25 (2021-06-01)
-------------------

* Adds timeseries tooling and misc utils

0.0.26 (2021-06-01)
-------------------

* Repackage

0.0.27 (2021-11-26)
-------------------

* Include pydantic and loguru in dependencies

0.0.28 (2021-11-26)
-------------------

* bugfix

0.0.29 (2021-11-28)
-------------------

* tweak naming and add high dimension generalisation

