<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[python_love_me的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/python_love_me</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; python_love_me]]></copyright><item><title><![CDATA[Tensorflow配置过程中的问题]]></title><link>https://blog.youkuaiyun.com/python_love_me/article/details/122224189</link><guid>https://blog.youkuaiyun.com/python_love_me/article/details/122224189</guid><author>python_love_me</author><pubDate>Wed, 29 Dec 2021 20:48:27 +0800</pubDate><description><![CDATA[tensorflow配置中需要注意的问题]]></description><category></category></item><item><title><![CDATA[PCA主成分分析处理鸢尾花数据(python)]]></title><link>https://blog.youkuaiyun.com/python_love_me/article/details/111604030</link><guid>https://blog.youkuaiyun.com/python_love_me/article/details/111604030</guid><author>python_love_me</author><pubDate>Thu, 24 Dec 2020 09:21:46 +0800</pubDate><description><![CDATA[完整代码：
import numpy as np
import pandas as pd


data = pd.read_csv("C:\\Users\\Administrator\\Desktop\\iris.csv",header=None) 
#data=np.array(data)
data=data[[0,1,2,3]]
mean_data=np.mean(data,axis=0)
meanRemoved = data - mean_data   #去中心
covdata = np.cov(me]]></description><category></category></item><item><title><![CDATA[SVM做鸢尾花分类预测    KeyError: “None of [Int64Index([0, 1, 2, 3], dtype=‘int64‘)] are in the [columns]错误探索]]></title><link>https://blog.youkuaiyun.com/python_love_me/article/details/111498839</link><guid>https://blog.youkuaiyun.com/python_love_me/article/details/111498839</guid><author>python_love_me</author><pubDate>Mon, 21 Dec 2020 20:57:32 +0800</pubDate><description><![CDATA[用支持向量机做鸢尾花分类预测时
敲代码有个关于KeyError的报错，如下：
KeyError: “None of [Int64Index([0, 1, 2, 3], dtype=‘int64’)] are in the [columns]”
原始代码如下
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn import svm
from sklearn.metrics import ac]]></description><category></category></item><item><title><![CDATA[（小叶笔记——pandas下载过程中遇到的问题）]]></title><link>https://blog.youkuaiyun.com/python_love_me/article/details/103019980</link><guid>https://blog.youkuaiyun.com/python_love_me/article/details/103019980</guid><author>python_love_me</author><pubDate>Mon, 11 Nov 2019 22:44:16 +0800</pubDate><description><![CDATA[2019-11-11号——关于pandas安装过程中所出现的报错及解决
对pandas库进行install安装过程中，我出现了如下错误在一开始对这个错误并不清楚，依照windows shell 的提示先对pip进行了更新升级
对pip进行更新升级并更新升级成功
后又对pandas进行安装，依然报错


再次输入命令（注：此命令并不用于此错误类型）
再次报错

再次命令输入

正确
（错误原因：pi...]]></description><category></category></item><item><title><![CDATA[MATLAB在线网页链接使用]]></title><link>https://blog.youkuaiyun.com/python_love_me/article/details/102999082</link><guid>https://blog.youkuaiyun.com/python_love_me/article/details/102999082</guid><author>python_love_me</author><pubDate>Sun, 10 Nov 2019 16:35:09 +0800</pubDate><description><![CDATA[MATLAB在线网页链接使用
（小叶的第一篇matlab学习笔记，参考博客https://blog.youkuaiyun.com/happyygdx/article/details/80045938在此注明，仅做学习使用）
https://octave-online.net/
在下方Octave command Prompt 处输入程序，MENU菜单栏用于登录及反馈，若仅需结果输出及查看，无需登录。
http...]]></description><category></category></item></channel></rss>