July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Content preview from Python数据处理
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第
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'topic': 'football',
'verified': False,
}
➊
table = db['data_sources']
➋
table.insert(my_data_source)
➌
another_data_source = {
'url':
'http://www.premierleague.com/content/premierleague/en-gb/players/index.html',
'description': 'Premier League Stats',
'topic': 'football',
'verified': True,
}
table.insert(another_data_source)
sources = db['data_sources'].all()
➍
print
sources
➊
创建一个
Python
字典，里面是我们要保存的数据。我们要保存的是足球研究的数据源。
我们添加的信息有主题、描述、
URL
以及我们是否对数据做过核实。
➋
创建名为
data_sources
的新表。
➌
将第一个数据源插入新表。
➍
显示我们保存在
data_sources
表中的所有数据源。
你已经利用
SQLite
创建了第一个关系型表，并完成了
Python
与数据库之间的第一次交互。
随着本书内容的深入，你将会向数据库中添加更多的数据和表。将所有数据保存到一处，
可以让你数据结构清晰，让你的研究更加专注。
6.8
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