Hi,
I am new to bumpy and started working on basics.
I need clarification for the below behaviour.
case 1:
>>> x12 = np.array([[1,2,3]])
>>> print(x12)
[[1 2 3]]
>>> x12.ndim
2
>>>
Tried creating a 2-D array.
also,
>>> x12 = np.array([[1,2,3],[0,0,0]])
>>> print(x12)
[[1 2 3]
[0 0 0]]
>>> x
On 30 Dec 2017, at 11:37 am, Vinodhini Balusamy wrote:
>
> Case 2:
> >>>
> >>> x12 = np.array([[1,2,3],[]])
> >>> x12.ndim
> 1
> >>> print(x12)
> [list([1, 2, 3]) list([])]
> >>>
>In case 2, I am trying to understand why it becomes 1 dimentional ?!?!
>
>
> Case 3:
> >>>
> >>> x12 = np.ar
Thanks Derek for quick clarification.
Just one more question from the details you have provided which from my
understanding strongly seems to be Design
[DEREK] You cannot create a regular 2-dimensional integer array from one row of
length 3
>
> and a second one of length 0. Thus np.array choo
On 30 Dec 2017, at 5:38 pm, Vinodhini Balusamy wrote:
>
> Just one more question from the details you have provided which from my
> understanding strongly seems to be Design
> [DEREK] You cannot create a regular 2-dimensional integer array from one row
> of length 3
>> and a second one of len
