Pandas：在不知道列名的情况下重命名单个DataFrame列

Question

I know I can rename single pandas.DataFrame columns with:

drugInfo.rename(columns = {'col_1': 'col_1_new_name'}, inplace = True)

But I'd like to rename a column without knowing its name (based on its index - although I know dictionaries don't have it). I would like rename column number 1 like this:

drugInfo.rename(columns = {1: 'col_1_new_name'}, inplace = True)

But in the DataFrame.columns dict there is no '1' entry, so no renaming is done. How could I achieve this?

Answer 1

Should work:

drugInfo.rename(columns = {list(drugInfo)[1]: 'col_1_new_name'}, inplace = True)

Example:

In [18]:

df = pd.DataFrame({'a':randn(5), 'b':randn(5), 'c':randn(5)})
df
Out[18]:
          a         b         c
0 -1.429509 -0.652116  0.515545
1  0.563148 -0.536554 -1.316155
2  1.310768 -3.041681 -0.704776
3 -1.403204  1.083727 -0.117787
4 -0.040952  0.108155 -0.092292
In [19]:

df.rename(columns={list(df)[1]:'col1_new_name'}, inplace=True)
df
Out[19]:
          a  col1_new_name         c
0 -1.429509      -0.652116  0.515545
1  0.563148      -0.536554 -1.316155
2  1.310768      -3.041681 -0.704776
3 -1.403204       1.083727 -0.117787
4 -0.040952       0.108155 -0.092292

It is probably more readable to index into the dataframe columns attribute:

df.rename(columns={df.columns[1]:'col1_new_name'}, inplace=True)

So for you:

drugInfo.rename(columns = {drugInfo.columns[1]: 'col_1_new_name'}, inplace = True)