Can you use loc to select a range of columns plus a column outside of the range?
You can use pandas.concat():
pd.concat([df.loc[:,'column_1':'columns_60'],df.loc[:,'column_81']],axis=1)
Suppose I want to select a range of columns from a dataframe: Call them 'column_1' through 'column_60'. I know I could use loc like this:
df.loc[:, 'column_1':'column_60']
That will give me all rows in columns 1-60. 
But what if I wanted that range of columns plus 'column_81'. This doesn't work:
df.loc[:, 'column_1':'column_60', 'column_81']
It throws a "Too many indexers" error. 
Is there another way to state this using loc? Or is loc even the best function to use in this case? 
Many thanks.