July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Content preview from Python数据处理
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174
｜
第
9
章
我们要使用
Python
更加深入地探索数据。
首先我们要安装将用到的
Python
库
agate
（
http://agate.readthedocs.org
），它可以帮助我
们发现数据的一些基本特征。
agate
是一个数据分析库，由
Christopher Groskopf
（
https://
github.com/onyxfish
）编写。
Christopher
是一位拥有高超技术水平的数据记者和
Python
开
发者，而
agate
库会帮助我们了解数据。使用
pip
安装这个库：
pip install agate
这一章中的代码与
agate
1.2.0
版本兼容。因为
agate
是一个相对较新的
Python
库，所以随着库的成熟，其中的一些功能是有可能发生改变的。为确
保安装的是指定版本的库，你可以使用
pip
设置版本。对本书来说，你可以
使用：
pip install agate==1.2.0
来安装
agate
。我们同样推荐你测试最新的
版本，并随时了解书中用到的库的最新代码变化。
我们想要探索
agate
库的一些特性。为了达到这个目的，我们将会使用从
UNICEF
年报得
到的关于童工雇用的数据。
9.1.1
导入数据
首先，来看一下我们的第一个数据集——
UNICEF
的童工汇总数据。我们下载的数据是一
个
Excel
文件，包含全世界的童工雇用率列表。我们可以使用学到的关于
Excel
的知识以
及从第
4
章和第
7
章学到的数据清洗技术，将原始数据转化为
agate
库所接受的格式。
在处理
Excel
表单时，我们推荐你用喜欢的
Excel
查看器打开表单文件 ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.