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    <title> - Pandas</title>
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    <description>Latest 20 threads of Pandas</description>
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    <item>
      <title>合并表格</title>
      <link>http://www.zhaoqianzhou.com/thread-566-1-1.html</link>
      <description><![CDATA[]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
      <pubDate>Sat, 14 Sep 2024 09:53:27 +0000</pubDate>
    </item>
    <item>
      <title>拆分表格</title>
      <link>http://www.zhaoqianzhou.com/thread-565-1-1.html</link>
      <description><![CDATA[按照某一列分类拆分]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
      <pubDate>Sat, 14 Sep 2024 09:23:19 +0000</pubDate>
    </item>
    <item>
      <title>读取excel表格，把姓名列所有数据转换列表</title>
      <link>http://www.zhaoqianzhou.com/thread-564-1-1.html</link>
      <description><![CDATA[]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
      <pubDate>Wed, 28 Aug 2024 11:42:04 +0000</pubDate>
    </item>
    <item>
      <title>查询两个表，相交的部分</title>
      <link>http://www.zhaoqianzhou.com/thread-413-1-1.html</link>
      <description><![CDATA[两张表，都是10人，有相交部分，这种情况，用如下方法，得到结果是2人的数据，此2人均存在于两个表]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
      <pubDate>Sat, 09 Oct 2021 13:13:56 +0000</pubDate>
    </item>
    <item>
      <title>两个excel表格根据字段名首尾相连，并删除重复行</title>
      <link>http://www.zhaoqianzhou.com/thread-412-1-1.html</link>
      <description><![CDATA[有两张表，分别存放这梁山108名好汉的信息，一张是36天罡，一张是72地煞，现在需要两张表合并一起，根据字段名首尾相连]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
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    <item>
      <title>pandas中的连接查询</title>
      <link>http://www.zhaoqianzhou.com/thread-411-1-1.html</link>
      <description><![CDATA[]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
      <pubDate>Sat, 09 Oct 2021 11:44:30 +0000</pubDate>
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    <item>
      <title>用pandas联合查询两张表，达到VLOOKUP合并数据的效果</title>
      <link>http://www.zhaoqianzhou.com/thread-410-1-1.html</link>
      <description><![CDATA[此案例中，工作簿1中的人员少，工作簿2中的数据多并且包含全部工作簿1的人员，merge没有加参数，所以采用默认的方式合并，结果只保留相交人员。]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
      <pubDate>Sat, 09 Oct 2021 03:34:06 +0000</pubDate>
    </item>
    <item>
      <title>获取excel表格结构--几行几列</title>
      <link>http://www.zhaoqianzhou.com/thread-409-1-1.html</link>
      <description><![CDATA[]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
      <pubDate>Fri, 08 Oct 2021 12:58:42 +0000</pubDate>
    </item>
    <item>
      <title>新建excel文件并写入数据</title>
      <link>http://www.zhaoqianzhou.com/thread-405-1-1.html</link>
      <description><![CDATA[一、新建空白Excel文件
  二、新建文件同时写入数据


三、将id设置为索引]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
      <pubDate>Tue, 05 Oct 2021 12:27:14 +0000</pubDate>
    </item>
    <item>
      <title>工作表按政治面貌拆分成多个工作表--pandas</title>
      <link>http://www.zhaoqianzhou.com/thread-380-1-1.html</link>
      <description><![CDATA[会生成一个带有多个sheet的工作表，分别保存党员和群众]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
      <pubDate>Mon, 23 Aug 2021 04:18:48 +0000</pubDate>
    </item>
    <item>
      <title>按行拆分excel--pandas</title>
      <link>http://www.zhaoqianzhou.com/thread-379-1-1.html</link>
      <description><![CDATA[]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
      <pubDate>Mon, 23 Aug 2021 03:29:24 +0000</pubDate>
    </item>
    <item>
      <title>用pandas读取Excel文件</title>
      <link>http://www.zhaoqianzhou.com/thread-259-1-1.html</link>
      <description><![CDATA[]]></description>
      <category>Pandas</category>
      <author>赵乾舟</author>
      <pubDate>Sun, 16 May 2021 05:52:06 +0000</pubDate>
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