July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Content preview from Python数据处理
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数据探索和分析
｜
179
➌
使用
remove_bad_chars
函数作为参数调用这个函数，保存清洗后的结果到
cleaned_rows
。
现在尝试重新运行代码来创建一个表：
In [10]: table = agate.Table(cleaned_rows, titles, types)
In [11]: table
Out[11]: <agate.table.Table at 0x7f9adc489990>
呜啊！我们有了一个
table
变量，保存着一个
Table
对象。现在可以用
agate
库的函数查
看数据了。如果你急切地想知道表看起来是什么样的，使用
print_table
方法快速地查看
一下表中的内容：
table.print_table(max_columns=7)
如果至此你一直使用
IPython
，并且想确保可以在下一个会话中继续使用这
些变量，就使用
%store
（
https://ipython.org/ipython-doc/3/config/extensions/
storemagic.html
）命令。如果希望保存
table
变量，我们可以简单地输入
%store table
。在我们的下一个
IPython
会话中，可以通过输入
%store -r
恢
复
table
变量。在分析数据的过程中，这对“保存”你的工作非常有用。
下面，我们会深入查看表数据，并使用一些内置的研究工具。
9.1.2
探索表函数
agate
库提供了许多函数来探索数据。首先，我们尝试一些排序方法（
http://agate.
readthedocs.org/en/latest/tutorial.html?#sorting-and-slicing ...
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