Re: [Numpy-discussion] array - dimension size of 1-D and 2-D examples

2018-01-09 Thread Sebastian Berg
:11:48 +0100 > From: Derek Homeier <de...@astro.physik.uni-goettingen.de> > To: Discussion of Numerical Python <numpy-discussion@python.org> > Subject: Re: [Numpy-discussion] array - dimension size of 1-D and 2-D > examples > Message-ID: > <cc548593-308b-4561-a03c

Re: [Numpy-discussion] array - dimension size of 1-D and 2-D examples

2018-01-09 Thread Martin.Gfeller
: Derek Homeier <de...@astro.physik.uni-goettingen.de> To: Discussion of Numerical Python <numpy-discussion@python.org> Subject: Re: [Numpy-discussion] array - dimension size of 1-D and 2-D examples Message-ID: <cc548593-308b-4561-a03c-d3017c707...@astro.physik.uni-goettin

Re: [Numpy-discussion] array - dimension size of 1-D and 2-D examples

2018-01-08 Thread Vinodhini Balusamy
Missed this mail. Thanks Derek For the clarification provided. Kind Rgds, Vinodhini > On 31 Dec 2017, at 10:11 am, Derek Homeier > wrote: > > On 30 Dec 2017, at 5:38 pm, Vinodhini Balusamy wrote: >> >> Just one more question from the

Re: [Numpy-discussion] array - dimension size of 1-D and 2-D examples

2017-12-30 Thread Derek Homeier
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 >>

Re: [Numpy-discussion] array - dimension size of 1-D and 2-D examples

2017-12-30 Thread Vinodhini Balusamy
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

Re: [Numpy-discussion] array - dimension size of 1-D and 2-D examples

2017-12-30 Thread Derek Homeier
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: >