<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[分享编程，算法知识；记录学习成长历程。]]></title><description><![CDATA[记录python语法，用代码验证数学公式，总结机器学习算法等。]]></description><link>https://blog.youkuaiyun.com/python_xiaofeng</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; python_xiaofeng]]></copyright><item><title><![CDATA[python分类文件夹]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/127968149</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/127968149</guid><author>python_xiaofeng</author><pubDate>Mon, 21 Nov 2022 17:06:41 +0800</pubDate><description><![CDATA[同一样品测试不同的点，每一个点的测试数据放在一个文件夹里。要求，根据同一样品不同测试点的数据抓取出来，放在excel表格里的同一行。]]></description><category></category></item><item><title><![CDATA[opencv中的颜色通道BGR与常规颜色通道RGB的差异]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125807608</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125807608</guid><author>python_xiaofeng</author><pubDate>Fri, 15 Jul 2022 16:59:08 +0800</pubDate><description><![CDATA[opencv中颜色和matplotlib中颜色通道对比]]></description><category></category></item><item><title><![CDATA[DataFrame多层索引创建]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125624049</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125624049</guid><author>python_xiaofeng</author><pubDate>Tue, 05 Jul 2022 17:35:05 +0800</pubDate><description><![CDATA[用pandas方法给DataFrame创建多级索引]]></description><category></category></item><item><title><![CDATA[PyQt5中的按钮排他性和QButtonGroup]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125506449</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125506449</guid><author>python_xiaofeng</author><pubDate>Tue, 28 Jun 2022 21:57:07 +0800</pubDate><description><![CDATA[PyQt5中单选按钮的排他性，按钮分组]]></description><category></category></item><item><title><![CDATA[PyQt中QObject对象中父子关系]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125490505</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125490505</guid><author>python_xiaofeng</author><pubDate>Mon, 27 Jun 2022 22:23:07 +0800</pubDate><description><![CDATA[PyQt5中QObject对象中父子关系及其应用]]></description><category></category></item><item><title><![CDATA[PyQt5中函数控件的继承关系]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125481101</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125481101</guid><author>python_xiaofeng</author><pubDate>Mon, 27 Jun 2022 14:01:08 +0800</pubDate><description><![CDATA[pyqt5中控件函数的继承关系]]></description><category></category></item><item><title><![CDATA[用python创建文件夹]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125463779</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/125463779</guid><author>python_xiaofeng</author><pubDate>Sat, 25 Jun 2022 20:50:05 +0800</pubDate><description><![CDATA[用python判断文件夹是否存在，创建一级文件夹，多级文件夹。]]></description><category></category></item><item><title><![CDATA[labview的图和图表，数据类型和连线颜色，粗细的关系]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124962642</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124962642</guid><author>python_xiaofeng</author><pubDate>Wed, 25 May 2022 11:38:07 +0800</pubDate><description><![CDATA[labview的图与图标区别。图标，连线颜色和数据类型的对应关系。]]></description><category></category></item><item><title><![CDATA[Labview中二维数组统计某个值出现的个数]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124931045</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124931045</guid><author>python_xiaofeng</author><pubDate>Mon, 23 May 2022 21:19:46 +0800</pubDate><description><![CDATA[labview中统计二维数组中某个值出现的个数]]></description><category></category></item><item><title><![CDATA[关于labview 中的循环结构的几个要点-自动索引，移位寄存器，延迟执行速度]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124815563</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124815563</guid><author>python_xiaofeng</author><pubDate>Tue, 17 May 2022 10:29:30 +0800</pubDate><description><![CDATA[labview中循环的几个要点]]></description><category></category></item><item><title><![CDATA[Labview筛选符合条件的数据]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124706508</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124706508</guid><author>python_xiaofeng</author><pubDate>Wed, 11 May 2022 14:23:34 +0800</pubDate><description><![CDATA[Labview筛选符合条件(上下限)的数据]]></description><category></category></item><item><title><![CDATA[由热力学到信息学-熵—信息熵]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124163103</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124163103</guid><author>python_xiaofeng</author><pubDate>Thu, 14 Apr 2022 21:29:55 +0800</pubDate><description><![CDATA[从热力学中的熵带你理解信息熵是怎么回事]]></description><category></category></item><item><title><![CDATA[pandas的广播机制和运算]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124180872</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124180872</guid><author>python_xiaofeng</author><pubDate>Thu, 14 Apr 2022 20:38:11 +0800</pubDate><description><![CDATA[pandas的广播机制，运算。从现象探究原因。]]></description><category></category></item><item><title><![CDATA[不同分类算法对比]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124137059</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124137059</guid><author>python_xiaofeng</author><pubDate>Tue, 12 Apr 2022 23:09:34 +0800</pubDate><description><![CDATA[逻辑斯蒂回归，支持向量机，决策树分类算法对比]]></description><category></category></item><item><title><![CDATA[pandas 导出到excel ，打开excel有错误，错误的提示为：发现“***”中的部分内容问题，是否让我们尽量尝试修复？如果您信任此工作簿的源，请单击“是”。]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124127482</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124127482</guid><author>python_xiaofeng</author><pubDate>Tue, 12 Apr 2022 16:38:10 +0800</pubDate><description><![CDATA[pandas导出到excel时的问题]]></description><category></category></item><item><title><![CDATA[因为python虚拟环境遇到的坑]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124118349</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124118349</guid><author>python_xiaofeng</author><pubDate>Tue, 12 Apr 2022 11:23:39 +0800</pubDate><description><![CDATA[python虚拟环境的搭建，我遇见的坑和解决办法。]]></description><category></category></item><item><title><![CDATA[matplotlib中matlab风格画图其实也是面向对象方式]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124099280</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124099280</guid><author>python_xiaofeng</author><pubDate>Mon, 11 Apr 2022 16:32:54 +0800</pubDate><description><![CDATA[matplotlib两种画图API，归根结底是一种。matlab风格是面向对象风格的封装。]]></description><category></category></item><item><title><![CDATA[决策树剪枝和可视化]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124087773</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124087773</guid><author>python_xiaofeng</author><pubDate>Sun, 10 Apr 2022 22:49:30 +0800</pubDate><description><![CDATA[从可视化数据分析，决策树剪枝的必要性。]]></description><category></category></item><item><title><![CDATA[决策分类树可视化以及手写代码寻找最佳分裂标准]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124075457</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124075457</guid><author>python_xiaofeng</author><pubDate>Sun, 10 Apr 2022 12:12:31 +0800</pubDate><description><![CDATA[干货：决策分裂树可视化，以及手写代码寻找决策树的最佳分裂标准。从信息增益原理出发，带你剖析决策分裂树原理。]]></description><category></category></item><item><title><![CDATA[高斯混合模型和KMeans算法可视化对比]]></title><link>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124064950</link><guid>https://blog.youkuaiyun.com/python_xiaofeng/article/details/124064950</guid><author>python_xiaofeng</author><pubDate>Sat, 09 Apr 2022 20:48:42 +0800</pubDate><description><![CDATA[以可视化的方式对比了KMeans和GMM算法的效果


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