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Python机器学习手册:从数据预处理到深度学习
book

Python机器学习手册:从数据预处理到深度学习

by Chris Albon
July 2019
Intermediate to advanced
365 pages
8h 13m
Chinese
Publishing House of Electronics Industry
Content preview from Python机器学习手册:从数据预处理到深度学习
3.16
 对一列的所有元素应用某个函数
55
解决方案
pandas
的列视为与
Python
中的其他序列一样
#
加载库
import pandas as pd
#
创建
URL
url = 'https://tinyurl.com/titanic-csv'
#
加载数据
dataframe = pd.read_csv(url)
#
以大写的形式打印前两行中的名字
for name in dataframe['Name'][0:2]:
print(name.upper())
ALLEN, MISS ELISABETH WALTON
ALLISON, MISS HELEN LORAINE
讨论
除了循环(常称为
for
循环),我们还可以使用列表解析式
#
以大写的形式打印前两行的名字
[name.upper() for name in dataframe['Name'][0:2]]
['ALLEN, MISS ELISABETH WALTON', 'ALLISON, MISS HELEN LORAINE']
尽管
for
循环很诱人,但是更具
Python
风格的解决方案是使用
pandas
apply
方法,
我们将在
3.16
节详细说明。
3.16
 对一列的所有元素应用某个函数
问题描述
在一列的所有元素上应用某个函数。
解决方案
使用
apply
对一列的所有元素应用一个内置的或者自定义的函数
#
加载库
import pandas as pd
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Publisher Resources

ISBN: 9787121369629