<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[qq_32062101的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/qq_32062101</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; qq_32062101]]></copyright><item><title><![CDATA[Faster-RCNN学习总结]]></title><link>https://blog.youkuaiyun.com/qq_32062101/article/details/94553845</link><guid>https://blog.youkuaiyun.com/qq_32062101/article/details/94553845</guid><author>qq_32062101</author><pubDate>Sat, 06 Jul 2019 15:03:30 +0800</pubDate><description><![CDATA[我是直接学习Faster-RCNN的，RCNN和Fast-RCNN基本没怎么看。在学习Faster-RCNN的过程中我参考了很多文章，其实我觉得Faster-RCNN 并没有涉及到复杂的算法，学习Faster-RCNN的困难之处在于找到可信的资料，主要总结了一些文章中模糊的地方，收集的参考资料很有价值，大家可以综合看这些资料，通过这些资料应该基本能理解Faster-RCNN。写这篇文章有两个目的：...]]></description><category></category></item><item><title><![CDATA[Pandas数据处理]]></title><link>https://blog.youkuaiyun.com/qq_32062101/article/details/81104713</link><guid>https://blog.youkuaiyun.com/qq_32062101/article/details/81104713</guid><author>qq_32062101</author><pubDate>Wed, 18 Jul 2018 21:00:49 +0800</pubDate><description><![CDATA[Pandas数据处理

dataframe里用一列除以1000，则每个元素都会除以1000


print( food_info[&quot;Iron_(mg)&quot;])
div_1000 = food_info[&quot;Iron_(mg)&quot;] / 1000
print (div_1000)

Iron_(mg)的列中的每一个元素会除以1000


#print food_info[&quot;Sodium_(mg)&quot;]
fo...]]></description><category></category></item><item><title><![CDATA[机器学习python编程]]></title><link>https://blog.youkuaiyun.com/qq_32062101/article/details/81100561</link><guid>https://blog.youkuaiyun.com/qq_32062101/article/details/81100561</guid><author>qq_32062101</author><pubDate>Wed, 18 Jul 2018 20:16:17 +0800</pubDate><description><![CDATA[Pandas 数据读取

1.pandas.read_csv（"文件名"）

in:


import pandas
food_info = pandas.read_csv("food_info.csv")
print(type(food_info))
print (food_info.dtypes)

pandas.read_csv（"文件名"）：读取以逗号为分隔符的文件。

print(typ...]]></description><category></category></item></channel></rss>