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(),