Mixing
How do I rename columns of a df with a for loop and new column names deriving from other df?
I made a dataframe from a bigger dataframe with a for loop and and the group by function. The multiindexed dataframe has the name 'Area' for all columns and the second level for all columns is called 'mean'. I am indexing the columns by iloc and wanted to give them names based on a different dataframe.
Could you help me out? If you have a completely different approach I am thankful too, of course.
bis=len(index_df['amount'])
for c, d in zip (index_df['amount'], (bis)):
num[c] = num.iloc[:,[d]]
I get the following error message:
'TypeError: zip argument #2 must support iteration'
python pandas dataframe rename
asked Jan 1 at 22:06
Peter KloppPeter Klopp
82
add a comment |
I made a dataframe from a bigger dataframe with a for loop and and the group by function. The multiindexed dataframe has the name 'Area' for all columns and the second level for all columns is called 'mean'. I am indexing the columns by iloc and wanted to give them names based on a different dataframe.
Could you help me out? If you have a completely different approach I am thankful too, of course.
bis=len(index_df['amount'])
for c, d in zip (index_df['amount'], (bis)):
num[c] = num.iloc[:,[d]]
I get the following error message:
'TypeError: zip argument #2 must support iteration'
python pandas dataframe rename
asked Jan 1 at 22:06
Peter KloppPeter Klopp
82
What do you want to happen when youzipover a number likebis?
– Davis Herring
Jan 1 at 22:12
bis is 4 and the dataframe has 4 columns. I wanted to index every single column and rename it.
– Peter Klopp
Jan 1 at 22:44
add a comment |
I made a dataframe from a bigger dataframe with a for loop and and the group by function. The multiindexed dataframe has the name 'Area' for all columns and the second level for all columns is called 'mean'. I am indexing the columns by iloc and wanted to give them names based on a different dataframe.
Could you help me out? If you have a completely different approach I am thankful too, of course.
bis=len(index_df['amount'])
for c, d in zip (index_df['amount'], (bis)):
num[c] = num.iloc[:,[d]]
I get the following error message:
'TypeError: zip argument #2 must support iteration'
python pandas dataframe rename
asked Jan 1 at 22:06
Peter KloppPeter Klopp
82
I made a dataframe from a bigger dataframe with a for loop and and the group by function. The multiindexed dataframe has the name 'Area' for all columns and the second level for all columns is called 'mean'. I am indexing the columns by iloc and wanted to give them names based on a different dataframe.
Could you help me out? If you have a completely different approach I am thankful too, of course.
bis=len(index_df['amount'])
for c, d in zip (index_df['amount'], (bis)):
num[c] = num.iloc[:,[d]]
I get the following error message:
'TypeError: zip argument #2 must support iteration'
python pandas dataframe rename
python pandas dataframe rename
asked Jan 1 at 22:06
Peter KloppPeter Klopp
82
asked Jan 1 at 22:06
Peter KloppPeter Klopp
82
asked Jan 1 at 22:06
Peter KloppPeter Klopp
82
asked Jan 1 at 22:06
Peter KloppPeter Klopp
82
asked Jan 1 at 22:06
Peter KloppPeter Klopp
82
82
What do you want to happen when youzipover a number likebis?
– Davis Herring
Jan 1 at 22:12
bis is 4 and the dataframe has 4 columns. I wanted to index every single column and rename it.
– Peter Klopp
Jan 1 at 22:44
add a comment |
What do you want to happen when youzipover a number likebis?
– Davis Herring
Jan 1 at 22:12
bis is 4 and the dataframe has 4 columns. I wanted to index every single column and rename it.
– Peter Klopp
Jan 1 at 22:44
What do you want to happen when you
zip over a number like bis?– Davis Herring
Jan 1 at 22:12
What do you want to happen when you
zip over a number like bis?– Davis Herring
Jan 1 at 22:12
bis is 4 and the dataframe has 4 columns. I wanted to index every single column and rename it.
– Peter Klopp
Jan 1 at 22:44
bis is 4 and the dataframe has 4 columns. I wanted to index every single column and rename it.
– Peter Klopp
Jan 1 at 22:44
add a comment |
1 Answer
1
active
oldest
votes
You can't iterate over an integer, but you can iterate over a range object, e.g. range(len(index_df.index)). But, in any case, = in Pandas is used for assignment, not for renaming, unless you combine it with pd.DataFrame.pop.
If each column of num relates to a value in index_df['amount'], and the relation is aligned by integer position, you can simply use assignment:
num.columns = index_df['amount']
And that's it, no manual iteration involved.
answered Jan 1 at 22:40
jppjpp
102k2164115
1
Thank you very much! That helped me a lot. That again underlines that I am coding on a very low level. Haha But still, how would it work with iterations? I didn't use range because (to my knowledge) I cannot iterate over two columns...
– Peter Klopp
Jan 1 at 23:59
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can't iterate over an integer, but you can iterate over a range object, e.g. range(len(index_df.index)). But, in any case, = in Pandas is used for assignment, not for renaming, unless you combine it with pd.DataFrame.pop.
If each column of num relates to a value in index_df['amount'], and the relation is aligned by integer position, you can simply use assignment:
num.columns = index_df['amount']
And that's it, no manual iteration involved.
answered Jan 1 at 22:40
jppjpp
102k2164115
1
Thank you very much! That helped me a lot. That again underlines that I am coding on a very low level. Haha But still, how would it work with iterations? I didn't use range because (to my knowledge) I cannot iterate over two columns...
– Peter Klopp
Jan 1 at 23:59
add a comment |
You can't iterate over an integer, but you can iterate over a range object, e.g. range(len(index_df.index)). But, in any case, = in Pandas is used for assignment, not for renaming, unless you combine it with pd.DataFrame.pop.
If each column of num relates to a value in index_df['amount'], and the relation is aligned by integer position, you can simply use assignment:
num.columns = index_df['amount']
And that's it, no manual iteration involved.
answered Jan 1 at 22:40
jppjpp
102k2164115
1
Thank you very much! That helped me a lot. That again underlines that I am coding on a very low level. Haha But still, how would it work with iterations? I didn't use range because (to my knowledge) I cannot iterate over two columns...
– Peter Klopp
Jan 1 at 23:59
add a comment |
You can't iterate over an integer, but you can iterate over a range object, e.g. range(len(index_df.index)). But, in any case, = in Pandas is used for assignment, not for renaming, unless you combine it with pd.DataFrame.pop.
If each column of num relates to a value in index_df['amount'], and the relation is aligned by integer position, you can simply use assignment:
num.columns = index_df['amount']
And that's it, no manual iteration involved.
answered Jan 1 at 22:40
jppjpp
102k2164115
You can't iterate over an integer, but you can iterate over a range object, e.g. range(len(index_df.index)). But, in any case, = in Pandas is used for assignment, not for renaming, unless you combine it with pd.DataFrame.pop.
If each column of num relates to a value in index_df['amount'], and the relation is aligned by integer position, you can simply use assignment:
num.columns = index_df['amount']
And that's it, no manual iteration involved.
answered Jan 1 at 22:40
jppjpp
102k2164115
answered Jan 1 at 22:40
jppjpp
102k2164115
answered Jan 1 at 22:40
jppjpp
102k2164115
answered Jan 1 at 22:40
jppjpp
102k2164115
102k2164115
1
Thank you very much! That helped me a lot. That again underlines that I am coding on a very low level. Haha But still, how would it work with iterations? I didn't use range because (to my knowledge) I cannot iterate over two columns...
– Peter Klopp
Jan 1 at 23:59
add a comment |
1
Thank you very much! That helped me a lot. That again underlines that I am coding on a very low level. Haha But still, how would it work with iterations? I didn't use range because (to my knowledge) I cannot iterate over two columns...
– Peter Klopp
Jan 1 at 23:59
1
1
Thank you very much! That helped me a lot. That again underlines that I am coding on a very low level. Haha But still, how would it work with iterations? I didn't use range because (to my knowledge) I cannot iterate over two columns...
– Peter Klopp
Jan 1 at 23:59
Thank you very much! That helped me a lot. That again underlines that I am coding on a very low level. Haha But still, how would it work with iterations? I didn't use range because (to my knowledge) I cannot iterate over two columns...
– Peter Klopp
Jan 1 at 23:59
add a comment |
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What do you want to happen when you
zipover a number likebis?– Davis Herring
Jan 1 at 22:12
bis is 4 and the dataframe has 4 columns. I wanted to index every single column and rename it.
– Peter Klopp
Jan 1 at 22:44