<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[ChenADC的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/ChenADC</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; ChenADC]]></copyright><item><title><![CDATA[python文件加密-linux环境]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/161319869</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/161319869</guid><author>ChenADC</author><pubDate>Fri, 22 May 2026 16:41:40 +0800</pubDate><description><![CDATA[把 Python 代码编译成二进制，别人看不到源码，同时运行更快。]]></description><category></category></item><item><title><![CDATA[蓝绿环境 & 灰度环境 极简区别]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/161273279</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/161273279</guid><author>ChenADC</author><pubDate>Thu, 21 May 2026 09:56:53 +0800</pubDate><description><![CDATA[蓝绿环境 & 灰度环境 极简区别]]></description><category></category></item><item><title><![CDATA[pip 离线下载和安装]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/159209120</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/159209120</guid><author>ChenADC</author><pubDate>Wed, 18 Mar 2026 16:19:51 +0800</pubDate><description><![CDATA[方案1：下载离线安装包（推荐）步骤3：在欧拉系统上安装。步骤2：传输到欧拉系统。]]></description><category></category></item><item><title><![CDATA[linux Python 3.8.2 安装到一个独立的目录]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/159201265</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/159201265</guid><author>ChenADC</author><pubDate>Wed, 18 Mar 2026 10:10:36 +0800</pubDate><description><![CDATA[这个过程会将 Python 3.8.2 安装到一个独立的目录（例如 /usr/local/python3.8），这样可以与系统自带的 Python 和您已有的 Python 3.7.9 共存而不互相干扰。altinstall 可以防止新安装的 Python 覆盖系统的 python 链接或脚本。编译后的 Python 将被安装到 /usr/local/python3.8 目录下。至此，Python 3.8.2 已经成功安装在您的系统上了，并且与现有的 Python 版本共存。这个过程可能需要几分钟。]]></description><category></category></item><item><title><![CDATA[Streamlit 框架+logging日志记录]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/158739627</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/158739627</guid><author>ChenADC</author><pubDate>Fri, 06 Mar 2026 16:59:47 +0800</pubDate><description><![CDATA[logging 和 Streamlit]]></description><category></category></item><item><title><![CDATA[streamlit框架 之 with st.form(‘xxx‘):]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/151794079</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/151794079</guid><author>ChenADC</author><pubDate>Wed, 17 Sep 2025 14:38:43 +0800</pubDate><description><![CDATA[[TOC](streamlit框架之with st.form(‘xxx’)😃这行代码确实不会直接在页面上显示任何内容，它是一个，起到组织和管理表单元素的作用。]]></description><category></category></item><item><title><![CDATA[部署MinIO - rpm方式]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/140157815</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/140157815</guid><author>ChenADC</author><pubDate>Wed, 03 Jul 2024 17:22:58 +0800</pubDate><description><![CDATA[部署MinIO，安装方式采用rpm离线安装]]></description><category></category></item><item><title><![CDATA[linux常见服务端口号]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/138153617</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/138153617</guid><author>ChenADC</author><pubDate>Wed, 24 Apr 2024 11:18:24 +0800</pubDate><description><![CDATA[【代码】linux常见服务端口号。]]></description><category></category></item><item><title><![CDATA[python中Array和DataFrame如何相互转换]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/122139684</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/122139684</guid><author>ChenADC</author><pubDate>Sat, 25 Dec 2021 10:04:55 +0800</pubDate><description><![CDATA[以上就是python中Array和DataFrame相互转换的方法]]></description><category></category></item><item><title><![CDATA[2021-08-20]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/119831884</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/119831884</guid><author>ChenADC</author><pubDate>Fri, 20 Aug 2021 21:38:25 +0800</pubDate><description><![CDATA[python Dataframe 筛选方法
原始数据如下。
比如我想查看id等于11396的数据。
pdata1[pdata1[‘id’]==11396]
查看时间time小于25320的数据。
pdata1[pdata1[‘time’]&lt;25320]
查看time小于25320且大于等于25270的数据
pdata1[(pdata1[‘time’] &lt; 25320)&amp;(pdata1[‘time’] &gt;= 25270)]
可以根据筛选条件查看某几列
pdata1[(pdata1[‘]]></description><category></category></item><item><title><![CDATA[2020-12-02]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/110467875</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/110467875</guid><author>ChenADC</author><pubDate>Wed, 02 Dec 2020 09:18:51 +0800</pubDate><description><![CDATA[##json.dump不能写入中文，写入中文后乱码
json.dump(content,f,ensure_ascii=False)
加上
ensure_ascii=False即可

]]></description><category></category></item><item><title><![CDATA[pycharm安装geopandas的方法]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/109353384</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/109353384</guid><author>ChenADC</author><pubDate>Thu, 29 Oct 2020 10:43:58 +0800</pubDate><description><![CDATA[#pycharm安装geopandas的方法
##基于已将下载好的geopandas依赖库，安装

##安装:
在命令行中按照顺序执行:
pip install E:\BaiduNetdiskDownload\python_whl-geopandas\python_whl\GDAL-3.0.3-cp37-cp37m-win_amd64.whl
pip install 路径 包名称
pip install  GDAL-3.0.3-cp37-cp37m-win_amd64.whl  
pip install R]]></description><category></category></item><item><title><![CDATA[Python读excel去重]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/108942726</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/108942726</guid><author>ChenADC</author><pubDate>Tue, 06 Oct 2020 19:44:33 +0800</pubDate><description><![CDATA[@Python读excel去重
Python读excel去重
excel里某一行重去，去掉这一行，直接上代码
一段漂亮的代码
// An highlighted block
import xlrd                             #打开excel文件
import math;

#将创建的属性字段删除——读取
data = xlrd.open_workbook('PoiDownload_fz11resout.xls')   #打开Excel文件读取数据
sh = data.sheet]]></description><category></category></item><item><title><![CDATA[Python3.7安装cv2的方法]]></title><link>https://blog.youkuaiyun.com/ChenADC/article/details/104748797</link><guid>https://blog.youkuaiyun.com/ChenADC/article/details/104748797</guid><author>ChenADC</author><pubDate>Mon, 09 Mar 2020 11:32:39 +0800</pubDate><description><![CDATA[安装cv2模块不能直接用命令pip install cv2安装，要用pip install opencv-python安装， 当然可能默认下载的模块跟你的Python环境不匹配，到下面的镜像中找和你版本匹配https://pypi.tuna.tsinghua.edu.cn/simple/opencv-python/ 我下载的是opencv_python-3.4.3.18-cp37-cp37m-wi...]]></description><category></category></item></channel></rss>