On 12/03/2014 04:32 AM, Ryan Nelson wrote:
Emanuele,
This doesn't address your question directly. However, I wonder if you
could approach this problem from a different way to get what you want.
First of all, create a index array and then just vstack all of your
arrays at once.
Ryan,
On Wed, Dec 3, 2014 at 2:21 AM, Emanuele Olivetti emanu...@relativita.com
wrote:
On 12/03/2014 04:32 AM, Ryan Nelson wrote:
Emanuele,
This doesn't address your question directly. However, I wonder if you
could approach this problem from a different way to get what you want.
First of
On 12/03/2014 12:17 PM, Jaime Fernández del Río wrote:
The safe way to create 1D object arrays from a list is by preallocating them,
something like this:
a = [np.random.rand(2, 3), np.random.rand(2, 3)]
b = np.empty(len(a), dtype=object)
b[:] = a
b
array([ array([[ 0.124382 ,
Hi,
I am using 2D arrays where only one dimension remains constant, e.g.:
---
import numpy as np
a = np.array([[1, 2, 3], [4, 5, 6]]) # 2 x 3
b = np.array([[9, 8, 7]]) # 1 x 3
c = np.array([[1, 3, 5], [7, 9, 8], [6, 4, 2]]) # 3 x 3
d = np.array([[5, 5, 4], [4, 3, 3]]) # 2 x 3
---
I have a large
Emanuele Olivetti emanuele at relativita.com writes:
Hi,
I am using 2D arrays where only one dimension remains constant, e.g.:
---
import numpy as np
a = np.array([[1, 2, 3], [4, 5, 6]]) # 2 x 3
b = np.array([[9, 8, 7]]) # 1 x 3
c = np.array([[1, 3, 5], [7, 9, 8], [6, 4, 2]]) # 3 x 3
