Consinder the following example:
# z = empty object, if possible empty 2D-array
N = 2
for i in range(N):
l = i * array([2,2,2])
# z.function(l)
Is there a function or a way to append multiple 1D-arrays to an empty object z and convert it into an 2D array
In my case N = 10**5 and the l-arrays are computed.
In the end i want a 2D array so i can apply slice operations (extract columns,rows,..)
You can just do
import numpy
x = numpy.array([1, 2, 3])
print(numpy.array([i*x for i in range(2)]))
Output is:
array([[0, 0, 0],
[1, 2, 3]])
If you are using Numpy library, you can do it with the following code:
import numpy as np
x = np.array([1,2,3])
#making an empty array with the shape and data type used in x
y = np.zeros(shape=x.shape,dtype=x.dtype)
#connecting two 1d arrays to a 2d one
z = np.concatenate((y,x)) #joining
print(z)
this will connect them to:
z= [[0, 0, 0],[1, 2, 3]]
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