Python 熊猫：用另一个字符串替换字符串
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pandas: replace string with another string
提问by chintan s
I have the following data frame
我有以下数据框
prod_type
0 responsive
1 responsive
2 respon
3 r
4 respon
5 r
6 responsive
I would like to replace responand rwith responsive, so the final data frame is
我想更换respon和r使用responsive，所以最终的数据帧
prod_type
0 responsive
1 responsive
2 responsive
3 responsive
4 responsive
5 responsive
6 responsive
I tried the following but it did not work:
我尝试了以下但没有奏效：
df['prod_type'] = df['prod_type'].replace({'respon' : 'responsvie'}, regex=True)
df['prod_type'] = df['prod_type'].replace({'r' : 'responsive'}, regex=True)
回答by jezrael
Solution with replaceby dictionary:
解决方案与replace通过dictionary：
df['prod_type'] = df['prod_type'].replace({'respon':'responsive', 'r':'responsive'})
print (df)
prod_type
0 responsive
1 responsive
2 responsive
3 responsive
4 responsive
5 responsive
6 responsive
If need set all values in column to some string:
如果需要将列中的所有值设置为 some string：
df['prod_type'] = 'responsive'
回答by EdChum
You don't need to pass regex=Truehere, as this will look for partial matches, as you''re after exact matches just pass the params as separate args:
你不需要在regex=True这里传递，因为这将寻找部分匹配，因为你在精确匹配之后只需将参数作为单独的参数传递：
In [7]:
df['prod_type'] = df['prod_type'].replace('respon' ,'responsvie')
df['prod_type'] = df['prod_type'].replace('r', 'responsive')
df
Out[7]:
prod_type
0 responsive
1 responsive
2 responsvie
3 responsive
4 responsvie
5 responsive
6 responsive
回答by estebanpdl
Other solution in case all items from df['prod_type']will be the same:
其他解决方案，以防来自的所有项目df['prod_type']都相同：
df['prod_type'] = ['responsive' for item in df['prod_type']]
In[0]: df
Out[0]:
prod_type
0 responsive
1 responsive
2 responsive
3 responsive
4 responsive
5 responsive
6 responsive
