Python, hstack column numpy arrays (column vectors) of different types

Question

I currently have a numpy multi-dimensional array (of type float) and a numpy column array (of type int). I want to combine the two into a mutli-dimensional numpy array.

import numpy

>> dates.shape
(1251,)
>> data.shape
(1251,10)
>> test = numpy.hstack((dates, data))
ValueError: all the input arrays must have same number of dimensions

To show that the types of the arrays are different:

>> type(dates[0])
<type 'numpy.int64'>
>> type(data[0,0])
<type 'numpy.float64'>

Answer 1

import numpy as np

np.column_stack((dates, data))

The types are cast automatically to the most precise, so your int array will be converted to float.

Answer 2

The types don't matter, you should reshape dates to be (1251, 1) before using hstack.

Ps. The ints will be cast to float.