重命名数据框中的元组列名称 [英] Renaming tuple column name in dataframe

问题描述

我是python和pandas的新手.我附上了熊猫数据框的图片， 我需要知道如何从最后一列中获取数据以及如何重命名最后一列.

I am new to python and pandas. I have attached a picture of a pandas dataframe, I need to know how I can fetch data from the last column and how to rename the last column.

推荐答案

您可以使用:

df = df.rename(columns = {df.columns[-1] : 'newname'})

或者:

df.columns = df.columns[:-1].tolist() + ['new_name']

似乎解决方案:

df.columns.values[-1] = 'newname'

是越野车.因为重命名熊猫函数后会返回奇怪的错误.

is buggy. Because after rename pandas functions return weird errors.

要从最后一列获取数据，可以使用

For fetch data from last column is possible use select by position by iloc:

s = df.iloc[:,-1]

重命名后:

s1 = df['newname']
print (s1)

示例:

df = pd.DataFrame({'R':[7,8,9],
                   'T':[1,3,5],
                   'E':[5,3,6],
                   ('Z', 'a'):[7,4,3]})

print (df)
   E  T  R  (Z, a)
0  5  1  7       7
1  3  3  8       4
2  6  5  9       3

s = df.iloc[:,-1]
print (s)
0    7
1    4
2    3
Name: (Z, a), dtype: int64

---

df.columns = df.columns[:-1].tolist() + ['new_name']
print (df)
   E  T  R  new_name
0  5  1  7         7
1  3  3  8         4
2  6  5  9         3

---

df = df.rename(columns = {('Z', 'a') : 'newname'})
print (df)
   E  T  R  newname
0  5  1  7        7
1  3  3  8        4
2  6  5  9        3

s = df['newname']
print (s)
0    7
1    4
2    3
Name: newname, dtype: int64

df.columns.values[-1] = 'newname'
s = df['newname']
print (s)
>KeyError: 'newname'

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