All my columns are indexes in pandas. How to solve that and 'reset' the index?-CodePudding

So, When i do print(mydf.columns) with my one of my dataframes, i get this result:

Index([
   'facility', '2022-01-01', '2022-02-01', '2022-03-01', '2022-04-01', 'YTD', 'state_name'
   ],
   dtype='object'
)

And because of that I can't join this dataframe with another one because i simply cannot specify which column i want to use as join parameter. To get that dataframe, i used this command:

mydf = mydf[(mydf['facility'] != "Insert New ") & (mydf['facility'] != "Total")]

How can i fix this?

CodePudding user response：

you can run set_index to set an index:

[ins] In [14]: df
Out[14]: 
   foo  bar
0    1    3
1    2    4
2    3    5

[ins] In [15]: df.set_index("foo")
Out[15]: 
     bar
foo     
1      3
2      4
3      5