pandas DataFrame from two numpy row vectors

Asked Jun 30 '20 at 20:04

Active Jun 30 '20 at 20:04

Viewed 16 times

Hi I am a bit stuck creating a DataFrame from two column vectors:

import numpy as np
import pandas as pd
df = pd.DataFrame( {'col1':np.arrange(0,11,1)}, {'col2':np.arrange(0,11,1)} )

I always get the error "ValueError: Shape of passed values is (11, 1), indices imply (1, 1)"
But if I create them both individually it works WHY?

df = pd.DataFrame( {'col1':np.arrange(0,11,1)})

asked Jun 30 '20 at 20:04

MadMax

1

`pd.DataFrame( {'col1':np.arrange(0,11,1), 'col2':np.arrange(0,11,1)} )` – Sowjanya R Bhat Jun 30 '20 at 20:07
you have 2 separate `dictionaries` being passed to the `df` - thats the problem – Sowjanya R Bhat Jun 30 '20 at 20:08
thanks :) that was the issue – MadMax Jun 30 '20 at 20:28

0 Answers0