<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[biggolden1的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/biggolden1</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; biggolden1]]></copyright><item><title><![CDATA[[QMT]04-在QMT之外调用xtquant直接编写策略]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/136105523</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/136105523</guid><author>biggolden1</author><pubDate>Tue, 13 Feb 2024 10:28:15 +0800</pubDate><description><![CDATA[xtquant是QMT官方内置的XtMiniQmt极简客户端对应的Python接口，目前支持Python的版本为3.6~3.8，可支持历史行情下载、实时数据订阅、外部数据访问、普通账户和两融账户交易(需开通相关权限)，对量化交易支持的比较完善，跟极速策略交易系统相比最主要的优势是简洁、灵活，不局限在bar、kline的事件触发，可以容易地集成多种数据源进行综合分析、判断。QMT内置的Python版本为3.6，第一次使用的话需手动下载相关的库，或直接拷贝已经下载好的xtquant库。]]></description><category></category></item><item><title><![CDATA[pandas 数据替换]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128516901</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128516901</guid><author>biggolden1</author><pubDate>Sun, 01 Jan 2023 22:58:29 +0800</pubDate><description><![CDATA[pandas 数据替换 | pandas 教程 - 盖若]]></description><category></category></item><item><title><![CDATA[​pandas 添加修改数据 | pandas 教程 - 盖若​]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128516881</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128516881</guid><author>biggolden1</author><pubDate>Sun, 01 Jan 2023 22:56:55 +0800</pubDate><description><![CDATA[pandas 添加修改数据 | pandas 教程 - 盖若]]></description><category></category></item><item><title><![CDATA[【Pandas】DataFrame中任意位置插入一列或一行]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128516785</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128516785</guid><author>biggolden1</author><pubDate>Sun, 01 Jan 2023 22:44:59 +0800</pubDate><description><![CDATA[【Pandas】DataFrame中任意位置插入一列或一行_盛夏光年ltk的博客-优快云博客_pandas 插入行]]></description><category></category></item><item><title><![CDATA[【pandas】模块（3）——dataframe高级用法]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128516711</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128516711</guid><author>biggolden1</author><pubDate>Sun, 01 Jan 2023 22:36:13 +0800</pubDate><description><![CDATA[【pandas】dataframe高级用法三_panbaoran913的博客-优快云博客_dataframe布尔值筛选]]></description><category></category></item><item><title><![CDATA[【pandas】模块（2）——DataFrame数据筛选]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128516694</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128516694</guid><author>biggolden1</author><pubDate>Sun, 01 Jan 2023 22:34:50 +0800</pubDate><description><![CDATA[【pandas】--DataFrame数据筛选（二）_panbaoran913的博客-优快云博客_pandas dataframe筛选数据]]></description><category></category></item><item><title><![CDATA[【pandas】模块（1）——DataFrame数据处理]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128516673</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128516673</guid><author>biggolden1</author><pubDate>Sun, 01 Jan 2023 22:30:55 +0800</pubDate><description><![CDATA[【pandas】模块——DataFrame数据处理（一）_panbaoran913的博客-优快云博客_dataframe数据处理]]></description><category></category></item><item><title><![CDATA[【Pandas】如何在 DataFrame 中插入行]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128516536</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128516536</guid><author>biggolden1</author><pubDate>Sun, 01 Jan 2023 22:15:49 +0800</pubDate><description><![CDATA[【Pandas】如何在 DataFrame 中插入行_there2belief的博客-优快云博客_dataframe 插入行]]></description><category></category></item><item><title><![CDATA[Pandas DataFrame的6种创建方法]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128516480</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128516480</guid><author>biggolden1</author><pubDate>Sun, 01 Jan 2023 22:07:34 +0800</pubDate><description><![CDATA[Pandas DataFrame的6种创建方法_新缸中之脑的博客-优快云博客_创建dataframe]]></description><category></category></item><item><title><![CDATA[pandas 只保留日期_超全的pandas数据分析常用函数总结：上篇]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128509830</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128509830</guid><author>biggolden1</author><pubDate>Sat, 31 Dec 2022 23:59:40 +0800</pubDate><description><![CDATA[pandas 只保留日期_超全的pandas数据分析常用函数总结：上篇（附赠思维导图）..._我倒觉得你无趣的博客-优快云博客]]></description><category></category></item><item><title><![CDATA[pandas 索引_Python学习教程：用Pandas做多层级索引]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128509232</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128509232</guid><author>biggolden1</author><pubDate>Sat, 31 Dec 2022 22:20:58 +0800</pubDate><description><![CDATA[pandas 索引_Python学习教程：用Pandas做多层级索引_weixin_39627751的博客-优快云博客]]></description><category></category></item><item><title><![CDATA[pandas利用replace进行全部替换或者通过选择筛选后进行替换]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128509134</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128509134</guid><author>biggolden1</author><pubDate>Sat, 31 Dec 2022 22:07:09 +0800</pubDate><description><![CDATA[pandas利用replace进行全部替换或者通过选择筛选后进行替换_Alex.liu的博客-优快云博客]]></description><category></category></item><item><title><![CDATA[Python pandas 替换指定数据]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128509110</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128509110</guid><author>biggolden1</author><pubDate>Sat, 31 Dec 2022 22:04:57 +0800</pubDate><description><![CDATA[Python pandas 替换指定数据_永远在减肥永远110的的小潘的博客-优快云博客_pandas替换指定的值]]></description><category></category></item><item><title><![CDATA[Pandas个人操作练习（1）创建dataframe及插入列、行操作]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128506403</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128506403</guid><author>biggolden1</author><pubDate>Sat, 31 Dec 2022 16:21:52 +0800</pubDate><description><![CDATA[Pandas个人操作练习（1）创建dataframe及插入列、行操作_YSH55024的博客-优快云博客_创建一个四行三列dataframe并填充指定数据]]></description><category></category></item><item><title><![CDATA[DataFrame错误：matplotlib]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128058446</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128058446</guid><author>biggolden1</author><pubDate>Sat, 26 Nov 2022 22:33:34 +0800</pubDate><description><![CDATA[熊猫数据框错误：matplotlib.axes._subplots.AxesSubplot]]></description><category></category></item><item><title><![CDATA[Python数据分析入门笔记6——数据清理案例练习]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128058400</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128058400</guid><author>biggolden1</author><pubDate>Sat, 26 Nov 2022 22:28:01 +0800</pubDate><description><![CDATA[Python数据分析入门笔记6——数据清理案例练习_奥特曼打小白的博客-优快云博客]]></description><category></category></item><item><title><![CDATA[python——stack()和unstack（）用法]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/128050742</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/128050742</guid><author>biggolden1</author><pubDate>Sat, 26 Nov 2022 13:06:17 +0800</pubDate><description><![CDATA[python——stack()和unstack（）用法_世界码鲸鱼的博客-优快云博客_unstack]]></description><category></category></item><item><title><![CDATA[python中stack函数_【python】Numpy中stack()，hstack()，vstack()函数详解]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/127991009</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/127991009</guid><author>biggolden1</author><pubDate>Tue, 22 Nov 2022 22:01:14 +0800</pubDate><description><![CDATA[python中stack函数_【python】Numpy中stack()，hstack()，vstack()函数详解_weixin_39827304的博客-优快云博客]]></description><category></category></item><item><title><![CDATA[磁力链接+爬虫]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/127990250</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/127990250</guid><author>biggolden1</author><pubDate>Tue, 22 Nov 2022 21:15:11 +0800</pubDate><description><![CDATA[磁力链接+爬虫_weixin_34307464的博客-优快云博客]]></description><category></category></item><item><title><![CDATA[DataFrame写入csv或excel时，开头的‘0’无法显示的解决方案]]></title><link>https://blog.youkuaiyun.com/biggolden1/article/details/127819495</link><guid>https://blog.youkuaiyun.com/biggolden1/article/details/127819495</guid><author>biggolden1</author><pubDate>Sat, 12 Nov 2022 14:01:20 +0800</pubDate><description><![CDATA[即在字符串前或后加个横向制表符，这样再用Excel打开就显示没问题了。df['带零列']='\t'+df['带零列']  或。df['带零列']=df['带零列']+'\t']]></description><category></category></item></channel></rss>