Python 从 Pandas 的索引中检索列的名称
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Retrieve name of column from its Index in Pandas
提问by Jatin Bhola
I have a pandas dataframe and a numpy array of values of that dataframe. I have the index of a specific column and I already have the row index of an important value. Now I need to get the column name of that particular value from my dataframe.
我有一个 Pandas 数据框和一个该数据框的 numpy 值数组。我有一个特定列的索引，我已经有了一个重要值的行索引。现在我需要从我的数据框中获取该特定值的列名。
After searching through the documentations, I found out that I can do the opposite but not what I want.
在搜索文档后，我发现我可以做相反的事情，但不是我想要的。
回答by jezrael
I think you need index columns names by position (python counts from 0, so for fourth column need 3):
我认为您需要按位置索引列名称（python 从 开始计数0，因此对于第四列需要3）：
colname = df.columns[pos]
Sample:
样本：
df = pd.DataFrame({'A':[1,2,3],
'B':[4,5,6],
'C':[7,8,9],
'D':[1,3,5],
'E':[5,3,6],
'F':[7,4,3]})
print (df)
A B C D E F
0 1 4 7 1 5 7
1 2 5 8 3 3 4
2 3 6 9 5 6 3
pos = 3
colname = df.columns[pos]
print (colname)
D
pos = [3,5]
colname = df.columns[pos]
print (colname)
Index(['D', 'F'], dtype='object')
