In the latest version of numpy, this runs without an error, although may or
may not be what you want:
In [1]: np.array([[1,2],[[1,2],[3,4]]])
Out[1]:
array([[1, 2],
[list([1, 2]), list([3, 4])]], dtype=object)
Here the result is a 2x2 array, where some elements are numbers and others
are lists.
On Wed, 26 Dec 2018 at 06:23 Mark Alexander Mikofski <mikof...@berkeley.edu>
wrote:
> I believe numpy arrays must be rectangular, yours is jagged, instead try
>
> >>> x3d = np.array([[[1, 2], [1, 2], [3, 4]]])
> >>> x3d.shape
> (1, 3, 2)
>
> Note: 3 opening brackets, yours has 2
> And single brackets around the 3 innermost arrays, yours has single
> brackets for the 1st, and double brackets around the 2nd and 3rd
>
>
> On Tue, Dec 25, 2018, 6:20 PM Jeff <je...@vodafonemail.de wrote:
>
>> hello,
>>
>> sorry newbe to numpy.
>>
>> I want to define a three-dim array.
>> I know this works:
>>
>> >>> np.array([[[1,2],[3,4]],[[5,6],[7,8]]])
>> array([[[1, 2],
>> [3, 4]],
>>
>> [[5, 6],
>> [7, 8]]])
>>
>> But can you tell why this doesnt work?
>>
>> >>> np.array([[1,2],[[1,2],[3,4]]])
>> Traceback (most recent call last):
>> File "<stdin>", line 1, in <module>
>> ValueError: setting an array element with a sequence.
>>
>>
>> Thank you.
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>>
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