<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[跨界小白]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/nianmx123</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; nianmx123]]></copyright><item><title><![CDATA[把 Python 脚本打包成 exe]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/165004258</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/165004258</guid><author>nianmx123</author><pubDate>Fri, 11 Sep 2026 17:54:16 +0800</pubDate><description><![CDATA[python -m PyInstaller --onefile --console --clean --name "下单计划调整工具V3-2" "V3-2-下单计划调整.py"pyinstaller --onefile --console --clean --name "下单计划调整工具V3-2" "V3-2-下单计划调整.py"pyinstaller --onefile --console --clean --icon="图标.ico" --name "新名字" "脚本.py"]]></description><category></category></item><item><title><![CDATA[ANSI 转义码是什么？]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/163590083</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/163590083</guid><author>nianmx123</author><pubDate>Sat, 08 Aug 2026 13:57:19 +0800</pubDate><description><![CDATA[本文详细介绍了ANSI转义码的使用方法，这是一种通过在文本中插入特殊控制字符序列来控制终端显示效果的技术。文章首先解释了ANSI转义码的基本格式（以\033[开头，m结尾），然后提供了完整的颜色和样式控制码速查表，包括文字颜色、背景颜色和各种文本样式。还展示了如何组合多个控制码使用，并给出了Python实现示例代码。]]></description><category></category></item><item><title><![CDATA[Jupyter Notebook打开报错]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/163019839</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/163019839</guid><author>nianmx123</author><pubDate>Sun, 19 Jul 2026 14:40:37 +0800</pubDate><description><![CDATA[1. 启动时报错：在 CMD 中输入 `jupyter notebook` 后，出现大量红色 `[W]` 和 `[E]` 错误，涉及 `jupyter_lsp` 和 `jupyterlab` 扩展。6. 验证升级：再次启动 `jupyter notebook`，红色报错消失，所有扩展加载成功（显示 `successfully loaded`）。- 操作方式：每次先在 CMD 中进入 `D:\jupyter`，再输入 `jupyter notebook` 启动。- 工作目录：`D:\jupyter`]]></description><category></category></item><item><title><![CDATA[pd.read_excel参数含义]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145395839</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145395839</guid><author>nianmx123</author><pubDate>Wed, 29 Jan 2025 22:59:16 +0800</pubDate><description><![CDATA[pd.read_excel各个参数含义]]></description><category></category></item><item><title><![CDATA[pandas快速入门]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145393786</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145393786</guid><author>nianmx123</author><pubDate>Wed, 29 Jan 2025 17:16:37 +0800</pubDate><description><![CDATA[关于pandas的读取、查看、验证、索引、选取数据]]></description><category></category></item><item><title><![CDATA[Jupyter Notebook]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145381213</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145381213</guid><author>nianmx123</author><pubDate>Mon, 27 Jan 2025 22:20:22 +0800</pubDate><description><![CDATA[Jupyter Notebook：注意点、快捷键]]></description><category></category></item><item><title><![CDATA[图表颜色值表-速查]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145382867</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145382867</guid><author>nianmx123</author><pubDate>Mon, 27 Jan 2025 21:35:44 +0800</pubDate><description><![CDATA[图表颜色值表-速查（颜色名称、颜色说明、颜色代码、RGB颜色值）]]></description><category></category></item><item><title><![CDATA[Matplotlib模块速查表]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145382858</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145382858</guid><author>nianmx123</author><pubDate>Mon, 27 Jan 2025 21:33:37 +0800</pubDate><description><![CDATA[Matplotlib模块速查表]]></description><category></category></item><item><title><![CDATA[Pandas模块速查表——DataFrame对象]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145382852</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145382852</guid><author>nianmx123</author><pubDate>Mon, 27 Jan 2025 21:32:55 +0800</pubDate><description><![CDATA[Pandas模块速查表——DataFrame对象]]></description><category></category></item><item><title><![CDATA[Pandas模块速查表——Series对象]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145382845</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145382845</guid><author>nianmx123</author><pubDate>Mon, 27 Jan 2025 21:31:40 +0800</pubDate><description><![CDATA[Pandas模块速查表——Series对象]]></description><category></category></item><item><title><![CDATA[Pandas模块速查表]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145382823</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145382823</guid><author>nianmx123</author><pubDate>Mon, 27 Jan 2025 21:30:17 +0800</pubDate><description><![CDATA[Pandas模块速查表]]></description><category></category></item><item><title><![CDATA[生成DataFrame]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145378926</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145378926</guid><author>nianmx123</author><pubDate>Mon, 27 Jan 2025 11:57:29 +0800</pubDate><description><![CDATA[DataFrame：基本定义格式，创建（代码示例），重要属性，重要函数]]></description><category></category></item><item><title><![CDATA[批量创建空白的excel文件]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145373304</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145373304</guid><author>nianmx123</author><pubDate>Sun, 26 Jan 2025 23:58:08 +0800</pubDate><description><![CDATA[纯代码；openpyxl.Workbook()]]></description><category></category></item><item><title><![CDATA[PDF表格内容的生成]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145372295</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145372295</guid><author>nianmx123</author><pubDate>Sun, 26 Jan 2025 23:13:27 +0800</pubDate><description><![CDATA[pdfplumber包；代码；f-string格式化字符串]]></description><category></category></item><item><title><![CDATA[python中的数据合并pd.merge]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145371320</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145371320</guid><author>nianmx123</author><pubDate>Sun, 26 Jan 2025 20:30:16 +0800</pubDate><description><![CDATA[介绍merge的参数。merge:类似SQL的join操作，可以将两个DataFrame或Series合并，最终返回一个合并后的 DataFrame。]]></description><category></category></item><item><title><![CDATA[将N张excel表合成1张表]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145369648</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145369648</guid><author>nianmx123</author><pubDate>Sun, 26 Jan 2025 16:38:00 +0800</pubDate><description><![CDATA[纯代码]]></description><category></category></item><item><title><![CDATA[1张EXCEL表拆分N张表]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/145368323</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/145368323</guid><author>nianmx123</author><pubDate>Sun, 26 Jan 2025 14:47:34 +0800</pubDate><description><![CDATA[1张EXCEL表拆分N张表的代码与注意事项]]></description><category></category></item><item><title><![CDATA[python学习--字符串大小对比（ASCII码表）]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/140023009</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/140023009</guid><author>nianmx123</author><pubDate>Thu, 27 Jun 2024 19:52:20 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[python学习--容器的通用操作]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/140022798</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/140022798</guid><author>nianmx123</author><pubDate>Thu, 27 Jun 2024 19:42:38 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[python学习--数据容器对比]]></title><link>https://blog.youkuaiyun.com/nianmx123/article/details/140022408</link><guid>https://blog.youkuaiyun.com/nianmx123/article/details/140022408</guid><author>nianmx123</author><pubDate>Thu, 27 Jun 2024 19:25:00 +0800</pubDate><description><![CDATA[]]></description><category></category></item></channel></rss>