July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Content preview from Python数据处理
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处理
PDF
文件，以及用
Python
解决问题
｜
101
5.5
不常见的文件类型
目前为止，本书已经讲过
CSV
、
JSON
、
XML
、
Excel
和
PDF
文件。
PDF
中的数据很难解
析，你可能认为数据解析的世界不能比这更糟了。遗憾的是，还有比这更糟糕的事情。
好消息是，你可能不会遇到前人尚未解决的问题。记住，向
Python
社区或更高一级的开源
社区寻求帮助和建议，这永远都是一个好方法，即使你已经认识到应该寻找更容易解析的
数据集。
如果数据具有以下特征，你可能会遇到问题。
•
文件由旧系统生成，使用的是一种不常见的文件类型。
•
文件由专用系统（
proprietary system
）生成。
•
你所有的程序都无法打开该文件。
对于与不常见文件类型相关的问题，仅仅用你之前学过的知识就可以解决。
(1)
确定文件类型。如果从文件扩展名上不容易看出，那么可以用
python-magic
库（
https://
pypi.python.org/pypi/python-magic/0.4.6
）。
(2)
在互联网上搜索“
how to parse <file extension> in Python
”（ 用
Python
如何解析
<
文件扩
展名
>
），将“
<file extension>
”替换为实际的文件扩展名。
(3)
如果找不到显而易见的解决方法，尝试用文本编辑器打开该文件，或者用
Python
的
open
函数读取该文件。
(4)
如果字符看起来很奇怪，读一些关于
Python
编码的内容。如果你是第一次接触
Python
字符编码，可以观看
PyCon ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.