~javiljoen/lttb-numpy

cbe3c6861588066d4b5b92fa81dfb40fb9cf53f9 — JA Viljoen 2 years ago b13cb1a
Update project links (remove GitHub references)
3 files changed, 11 insertions(+), 7 deletions(-)

M LICENSE
M README.rst
M setup.py
M LICENSE => LICENSE +1 -1
@@ 1,6 1,6 @@
MIT License

Copyright (c) 2017 Jack Viljoen
Copyright (c) 2020 JA Viljoen

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal

M README.rst => README.rst +4 -4
@@ 1,6 1,6 @@
===================
lttb.py |pypi| |ci|
===================
================
lttb |pypi| |ci|
================

Numpy implementation of Steinarsson’s *Largest-Triangle-Three-Buckets* algorithm
for downsampling time series–like data


@@ 50,7 50,7 @@ It was downloaded from http://flot.base.is/ and converted from JSON to CSV.

This is what it looks like, downsampled to 100 points:

.. image:: https://github.com/javiljoen/lttb.py/raw/master/tests/timeseries.png
.. image:: https://git.sr.ht/~javiljoen/lttb-numpy/blob/master/tests/timeseries.png


Input validation

M setup.py => setup.py +6 -2
@@ 3,8 3,12 @@ import setuptools
setuptools.setup(
    name="lttb",
    use_scm_version=True,
    url="https://github.com/javiljoen/lttb.py",
    author="Jack Viljoen",
    url="https://sr.ht/~javiljoen/lttb/",
    project_urls={
        "Source": "https://git.sr.ht/~javiljoen/lttb-numpy",
        "Tracker": "https://todo.sr.ht/~javiljoen/lttb",
    },
    author="JA Viljoen",
    author_email="javiljoen@javiljoen.net",
    description="Largest-Triangle-Three-Buckets algorithm for downsampling time series-like data",
    long_description=open("README.rst").read(),