Rus*_*ord 6 python dictionary series python-3.x pandas
我有一个df列,看起来像这样:
col1
Non Profit
Other-501c3
501c3
Sole Proprietor
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如何创建字典对象或映射层(对所有建议开放),如果它符合标准并更改键值,我可以传递任何值?
例如,如果值是,Other-501c3则将其更改为non-profit.
示例(等号后的所有内容都需要更改为等号前的值):
1. non-profit = (Non Profit, Other-501c3, 501c3,NON-Profit, Not-for-profit).
2. Sole Proprietor = (Sole Proprietor,Sole Proprietorship)
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解决方案应该是可扩展的,我可以添加更多"关键值"对
先感谢您.
从keys 创建字典,将它们合并并map:
L1 = ['Non Profit', 'Other-501c3', '501c3','NON-Profit', 'Not-for-profit']
d1 = dict.fromkeys(L1, 'non-profit')
L2 = ['Sole Proprietor','Sole Proprietorship']
d2 = dict.fromkeys(L2, 'Sole Proprietor')
d = {**d1, **d2}
print (d)
{'Non Profit': 'non-profit',
'Other-501c3': 'non-profit',
'501c3': 'non-profit',
'NON-Profit': 'non-profit',
'Not-for-profit': 'non-profit',
'Sole Proprietor': 'Sole Proprietor',
'Sole Proprietorship': 'Sole Proprietor'}
df['new'] = df['col1'].map(d)
print (df)
col1 new
0 Non Profit non-profit
1 Other-501c3 non-profit
2 501c3 non-profit
3 Sole Proprietor Sole Proprietor
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