where I have found this option in other languages such as R or SQL but I am not quite sure how to go about this in Pandas.
So I have a file with 1262 columns and 1 r
You can use data frame slicing and then get the columns names:
df.ix[:,df.loc[0] == 38.15].columns
output:
Index([u'col7'], dtype='object')