标签：python-3-x csv python
我熟悉用python读写csv文件的基本概念.但是我坚持要为这个问题弄个逻辑.我认为GROUP BY可以解决我的问题,但如何在python中做到
Category Data
A Once upon a time.
A There was a king.
A who ruled a great and glorious nation.
B He loved each of them dearly.
B One day, when the young ladies were of age to be married.
B terrible, three-headed dragon laid.
C It is so difficult to deny
C the reality
我想对这样的输出进行逻辑处理,即类别A的数据合并到一行,对于类别B和C则这样合并.
Category Data
A Once upon a time. There was a king. who ruled a great and glorious nation.
B He loved each of them dearly. One day, when the young ladies were of age to be married. terrible, three-headed dragon laid.
C It is so difficult to deny the reality
请大家在这个逻辑上帮助我,请多多关照.
解决方法:
使用pandas库,您可以使用groupby并创建一个自定义聚合函数,该函数将各个类别的数据连接在一起
>>> import pandas as pd
>>> data = [['A', 'Once upon a time.'], ['A', 'There was a king.'], ['A', 'who ruled a great and glorious nation.'], ['B', 'He loved each of them dearly. '], ['B', 'One day, when the young ladies were of age to be married. '], ['B', 'terrible, three-headed dragon laid. '], ['C', 'It is so difficult to deny '], ['C', 'the reality']]
>>> df = pd.DataFrame(data=data, columns=['Category','Data'])
>>> df
Category Data
0 A Once upon a time.
1 A There was a king.
2 A who ruled a great and glorious nation.
3 B He loved each of them dearly.
4 B One day, when the young ladies were of age to ...
5 B terrible, three-headed dragon laid.
6 C It is so difficult to deny
7 C the reality
>>> df.groupby('Category').agg({'Data': lambda x : ' '.join(x)})
Data
Category
A Once upon a time. There was a king. who ruled ...
B He loved each of them dearly. One day, when t...
C It is so difficult to deny the reality
标签：python-3-x,csv,python 来源： https://codeday.me/bug/20191109/2013079.html
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