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.
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