Python 替换数据帧中的值时出现问题？

我有以下数据帧：

在：

输出：

我想用id替换所有水果（例如

01

到

nn

）。为此，我尝试使用pandas replace函数：

df['Fruits'] = df['Fruits'].replace(['pinneapple', 'apple', 'tomato', 'grapes', 'orange'],\
                                                                      ['01', '02', '03', '04', '05'])

---

然而，当我完成上面的任务时，我感兴趣的列没有做任何调整。因此，如何将每个单词替换为预定义的数字？

您可以在以下内容中使用参数

regex=True

：

对于

代码

，您还可以使用

列表理解

：

fruits = ['pinneapple', 'apple', 'tomato', 'grapes', 'orange']
codes = [str(i + 1).zfill(2) for i, c in enumerate(fruits)]
print (codes)
['01', '02', '03', '04', '05']

df['Fruits'] = df['Fruits'].replace(fruits,codes, regex=True)
print (df)

                 Fruits
0   this should be a 01
1  this should be an 02
2   this should be a 03
3      this should 3 04
4  this should be an 05
5  this should be an 01
6  this should be an 02

---

尝试使用以下方法重置该值：

df['Fruits'] =  pd.DataFrame()

---

然后再次分配新值

谢谢你的帮助，杰兹！

df['Fruits'] = df['Fruits'].replace(['pinneapple', 'apple', 'tomato', 'grapes', 'orange'],\
                                    ['01', '02', '03', '04', '05'], regex=True)
print (df)
                 Fruits
0   this should be a 01
1  this should be an 02
2   this should be a 03
3      this should 3 04
4  this should be an 05
5  this should be an 01
6  this should be an 02

fruits = ['pinneapple', 'apple', 'tomato', 'grapes', 'orange']
codes = [str(i + 1).zfill(2) for i, c in enumerate(fruits)]
print (codes)
['01', '02', '03', '04', '05']

df['Fruits'] = df['Fruits'].replace(fruits,codes, regex=True)
print (df)

                 Fruits
0   this should be a 01
1  this should be an 02
2   this should be a 03
3      this should 3 04
4  this should be an 05
5  this should be an 01
6  this should be an 02

df['Fruits'] =  pd.DataFrame()