ValueError: cannot copy sequence with size 5 to array axis with dimension 2

Question

using numpy 1.7.1 the below code works and produces the result as shown,

import pandas as pd
import numpy as np
d1 = pd.DataFrame({'Name': [1, 1, 1, 1, 1],'number': [1, 1, 1, 1, 1]})
d2 = pd.DataFrame({'Name': [1, 1, 1, 1, 1], 'number': [1, 1, 1, 1, 1]}) 
result =  np.array([d1,d2])

Value of result is,
array([    Name  number
0     1       1
1     1       1
2     1       1
3     1       1
4     1       1,
          Name  number
0     1       1
1     1       1
2     1       1
3     1       1
4     1       1], dtype=object)

But, In numpy 1.9.2 the same input produces exception as below,

"ValueError: cannot copy sequence with size 5 to array axis with dimension 2"

Need to know the reason that numpy not supporting this operation or some generic fix that can be used in both the version. I want the same kind of output as i get in 1.7.1, in both versions of numpy.

hpaulj · Accepted Answer · 2015-10-06 09:09:31Z

11

I was able to reproduce your issue with numpy 1.9.2. It seems that numpy is trying to do a vstack. when the shape are same. I tried the following approach and it worked.

result = np.empty(2, dtype=object)
result[:]= [d1, d2]

result
array([    Name  number
0     1       1
1     1       1
2     1       1
3     1       1
4     1       1,
          Name  number
0     1       1
1     1       1
2     1       1
3     1       1
4     1       1], dtype=object)

edited Oct 6, 2015 at 9:09

hpaulj

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answered Oct 6, 2015 at 6:08

Manish

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1 Comment

ggaurav Over a year ago

Never could have resolved the issue by my own in limited time, these kind of answers are time saving!

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