Hello,
I am trying to copy an array of 15 elements into a pandas data frame having 96 columns and i get the error lenght of values does not match lenght of index. Is there a way to bypass this check and copy it leaving the blank spaces?
The code below gives me the error:
q = numpy.array(q)
for i in q.flat:
print i
i.astype(int)
new = df2.copy() # df2 is my df2 = pandas.DataFrame(file)
#new['Bin'] = numpy.insert(q,1,5)
When I just do this below only one vale of the array is populated over the 96 columns. I would like for it to copy the 15 elements into the 96 columns and leave the other columns.
#repeats only one value
for t in q:
new['Bin'] = t
Kindly point me in the right direction.