July 2019
Intermediate to advanced
365 pages
8h 13m
Chinese
Content preview from Python机器学习手册：从数据预处理到深度学习
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3.2
描述数据
｜
35
Name Age Driver
0 Jacky Jackson 38 True
1 Steven Stevenson 25 False
或者，创建完数据帧对象后，往其底部添加新的数据行 ：
#
创建一行
new_person = pd.Series(['Molly Mooney', 40, True], index=['Name','Age','Driver'])
#
附加一行
dataframe.append(new_person, ignore_index=True)
Name Age Driver
0 Jacky Jackson 38 True
1 Steven Stevenson 25 False
2 Molly Mooney 40 True
讨论
虽然
pandas
提供了无数方法来创建数据帧，但是在真实场景中，创建一个空的数据帧对
象然后再填充数据的情况几乎不会发生。相反，我们将通过加载自其他源（例如，一个
CSV
文件或数据库）的真实数据创建数据帧。
3.2
描述数据
问题描述
查看数据帧的一些属性。
解决方案
在加载完数据之后，我们能做的最简单的事之一就是使用
head
查看前几行数据 ：
#
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)
36
｜
第
3
章
数据整理
#
查看前两行数据
dataframe.head(2) ...
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