我对一个问题感到非常困惑，如果有一些帮助或提示，我将不胜感激。
问题：我有一个 csv 文件，其中有一列可能有多个值，例如：
Fruit;Color;The_evil_column
Apple;Red;something1
Apple;Green;something1
Orange;Orange;something1
Orange;Green;something2
Apple;Red;something2
Apple;Red;something3
我已将数据加载到数据框中，并且需要根据“The_evil_column”列的值将该数据框拆分为多个数据框：
df1
Fruit;Color;The_evil_column
Apple;Red;something1
Apple;Green;something1
Orange;Orange;something1
df2
Fruit;Color;The_evil_column
Orange;Green;something2
Apple;Red;something2
df3
Fruit;Color;The_evil_column
Apple;Red;something3
阅读了一些帖子后，我更加困惑，我需要一些关于此的提示。
您可以生成 DataFrame 的字典：
d = {g:x for g,x in df.groupby('The_evil_column')}
In [95]: d.keys()
Out[95]: dict_keys(['something1', 'something2', 'something3'])
In [96]: d['something1']
Out[96]:
Fruit Color The_evil_column
0 Apple Red something1
1 Apple Green something1
2 Orange Orange something1
或数据框列表：
In [103]: l = [x for _,x in df.groupby('The_evil_column')]
In [104]: l[0]
Out[104]:
Fruit Color The_evil_column
0 Apple Red something1
1 Apple Green something1
2 Orange Orange something1
In [105]: l[1]
Out[105]:
Fruit Color The_evil_column
3 Orange Green something2
4 Apple Red something2
In [106]: l[2]
Out[106]:
Fruit Color The_evil_column
5 Apple Red something3
UPDATE:
In [111]: g = pd.read_csv(filename, sep=';').groupby('The_evil_column')
In [112]: g.ngroups # number of unique values in the `The_evil_column` column
Out[112]: 3
In [113]: g.apply(lambda x: x.to_csv(r'c:\temp\{}.csv'.format(x.name)))
Out[113]:
Empty DataFrame
Columns: []
Index: []
将产生3个文件：
In [115]: glob.glob(r'c:\temp\something*.csv')
Out[115]:
['c:\\temp\\something1.csv',
'c:\\temp\\something2.csv',
'c:\\temp\\something3.csv']
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