Up to this point, we only considered arrays that contained native elementary data types.
Using object arrays to store heterogeneous data
How to do it...
If we need an array containing heterogeneous data, we can create an array with arbitrary Python objects as elements, as shown in the following code:
x = np.array([2.5, 'a string', [2,4], {'a':0, 'b':1}])
This will result in an array with the np.object ;data type, as indicated in the output line as follows:
array([2.5, 'string', [2, 4], {'a': 0, 'b': 1}], dtype=object)
If the objects to be contained in the array are not known at construction time, we can create an empty array of objects with the following code...