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Update the figure links #11

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Sep 18, 2023
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8 changes: 4 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
<a href='https://github.com/WenjieDu/PyCorruptor'><img src='https://raw.githubusercontent.com/PyPOTS/pypots.github.io/main/static/figs/pypots_logos/PyCorruptor_logo_FFBG.svg?sanitize=true' width='375' align='right' /></a>
<a href='https://github.com/WenjieDu/PyCorruptor'><img src='https://pypots.com/figs/pypots_logos/PyCorruptor_logo_FFBG.svg?sanitize=true' width='375' align='right' /></a>

# <p align='center'>Welcome to PyCorruptor</p>

Expand All @@ -24,14 +24,14 @@
<img alt='Coveralls report' src='https://img.shields.io/coverallsCoverage/github/WenjieDu/PyCorruptor?branch=main&logo=coveralls&color=75C1C4&label=Coverage'>
</a>
<a href="https://anaconda.org/conda-forge/PyCorruptor">
<img alt="Conda downloads" src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/PyPOTS/pypots.github.io/main/static/figs/downloads_badges/conda_pycorruptor_downloads.json">
<img alt="Conda downloads" src="https://img.shields.io/endpoint?url=https://pypots.com/figs/downloads_badges/conda_pycorruptor_downloads.json">
</a>
<a href='https://pepy.tech/project/PyCorruptor'>
<img alt='PyPI downloads' src='https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/PyPOTS/pypots.github.io/main/static/figs/downloads_badges/pypi_pycorruptor_downloads.json'>
<img alt='PyPI downloads' src='https://img.shields.io/endpoint?url=https://pypots.com/figs/downloads_badges/pypi_pycorruptor_downloads.json'>
</a>
</p>

<a href='https://github.com/WenjieDu/PyPOTS'><img src='https://raw.githubusercontent.com/PyPOTS/pypots.github.io/main/static/figs/pypots_logos/PyPOTS_logo_FFBG.svg?sanitize=true' width='160' align='left' /></a>
<a href='https://github.com/WenjieDu/PyPOTS'><img src='https://pypots.com/figs/pypots_logos/PyPOTS_logo_FFBG.svg?sanitize=true' width='160' align='left' /></a>
PyCorruptor is a part of [PyPOTS project](https://github.com/WenjieDu/PyPOTS) (a Python toolbox for data mining on
Partially-Observed Time Series), and was separated from PyPOTS for decoupling missingness-creating functionalities from
learning algorithms.
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