python - pandas:用另一个字符串替换字符串

我有以下数据框

    prod_type
0   responsive
1   responsive
2   respon
3   r
4   respon
5   r
6   responsive

我想将respon和r替换为responsive，因此最终的数据帧是

    prod_type
0   responsive
1   responsive
2   responsive
3   responsive
4   responsive
5   responsive
6   responsive

我尝试了以下方法，但没有成功：

df['prod_type'] = df['prod_type'].replace({'respon' : 'responsvie'}, regex=True)
df['prod_type'] = df['prod_type'].replace({'r' : 'responsive'}, regex=True)

最佳答案

溶液replacebydictionary：

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

如果需要，请将列中的所有值设置为某些值：

df['prod_type'] = 'responsive'

关于python - pandas:用另一个字符串替换字符串，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/39602824/