<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for mpltweak</title>
    <link>https://pypi.org/project/mpltweak/</link>
    <description>Recent updates to the Python Package Index for mpltweak</description>
    <language>en</language>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/mpltweak/0.1.10/</link>
      <description>Interactive layout editor for matplotlib multi-panel figures - drag, align, snap, then write the numbers back into your Python code</description>
      <pubDate>Tue, 13 Oct 2026 09:21:10 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/mpltweak/0.1.9/</link>
      <description>Interactive layout editor for matplotlib multi-panel figures - drag, align, snap, then write the numbers back into your Python code</description>
      <pubDate>Mon, 12 Oct 2026 02:06:14 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/mpltweak/0.1.8/</link>
      <description>Interactive layout editor for matplotlib multi-panel figures - drag, align, snap, then write the numbers back into your Python code</description>
      <pubDate>Sat, 10 Oct 2026 07:29:24 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/mpltweak/0.1.7/</link>
      <description>Interactive layout editor for matplotlib multi-panel figures - drag, align, snap, then write the numbers back into your Python code</description>
      <pubDate>Sat, 10 Oct 2026 04:23:18 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/mpltweak/0.1.6/</link>
      <description>Interactive layout editor for matplotlib multi-panel figures - drag, align, snap, then write the numbers back into your Python code</description>
      <pubDate>Fri, 09 Oct 2026 15:58:03 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/mpltweak/0.1.5/</link>
      <description>像在 PPT 里调多图排版一样调 matplotlib：拖拽排版 + AST 确定性写回脚本（调试零侵入）</description>
      <pubDate>Fri, 09 Oct 2026 15:36:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/mpltweak/0.1.3/</link>
      <description>像在 PPT 里调多图排版一样调 matplotlib：拖拽排版 + AST 确定性写回脚本（调试零侵入）</description>
      <pubDate>Fri, 09 Oct 2026 14:10:13 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/mpltweak/0.1.2/</link>
      <description>像在 PPT 里调多图排版一样调 matplotlib：拖拽排版 + AST 确定性写回脚本（调试零侵入）</description>
      <pubDate>Fri, 09 Oct 2026 13:41:05 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/mpltweak/0.1.1/</link>
      <description>像在 PPT 里调多图排版一样调 matplotlib：拖拽排版 + AST 确定性写回脚本（调试零侵入）</description>
      <pubDate>Fri, 09 Oct 2026 13:34:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/mpltweak/0.1.0/</link>
      <description>像在 PPT 里调多图排版一样调 matplotlib：拖拽排版 + AST 确定性写回脚本（调试零侵入）</description>
      <pubDate>Fri, 09 Oct 2026 13:05:56 GMT</pubDate>
    </item>  </channel>
</rss>