I would have assumed its just .rows but it isn't
#🔒 Row equivalent of .columns in pandas?
stray spade
pure oysterBOT
I would have assumed its just .rows but it isn't
@stray spade
Python help channel opened
warm cypress
I would have assumed its just .rows but it isn't
technically .index but what exactly are you trying to do?
if you are trying to iterate over the rows like you would over a python list, don't (there are methods for that but it is a LOT slower than using pandas methods)
stray spade
I'm not trying to iterate over rows, I was trying to save the rows to a different variable but I actually do not think thats what I need to do lol.. I'm working on a data classification assignment so I don't think the rowname will help with anything
Is there a way to return column name?
sullen yarrow
what do you mean by "save the rows to a different variable"? what type would that object be?
stray spade
Yeah the logic there wasn't really sound, I don't even know if that thought is possible/makes sense
warm cypress
Is there a way to return column name?
strictly speaking that would be df.columns[i], or series.name
what are you even trying to do in first place though?
not in code, not your attempted solution, just the problem you are trying to solve
stray spade
I'm sorry I know its confusing, part of me doesn't exactly know what to do. I was attempting to breakup the dataframe into two different parts I guess
sullen yarrow
you can do something like
df_1 = df.loc[['a', 'b', 'c']]
df_2 = df.loc[['d', 'e', 'f']]
where those letters are indices for rows
but only if there's a reason why having some rows in different dataframes is better than just having one.
stray spade
Okay, that makes sense. I think I actually need to split it by columns, not rows. Is there a way to index to save just the last column?
df[-1]```you would do df.iloc[:, -1] for that
stray spade
Ok, how would I save everything but the last column then?
