Is there way to initialize a numpy array of a shape and add to it? I will explain what I need with a list example. If I want to create a list of objects generated in a loop, I can do:
a =  for i in range(5): a.append(i)
I want to do something similar with a numpy array. I know about vstack, concatenate etc. However, it seems these require two numpy arrays as inputs. What I need is:
big_array # Initially empty. This is where I don"t know what to specify for i in range(5): array i of shape = (2,4) created. add to big_array
big_array should have a shape
(10,4). How to do this?
I want to add the following clarification. I am aware that I can define
big_array = numpy.zeros((10,4)) and then fill it up. However, this requires specifying the size of big_array in advance. I know the size in this case, but what if I do not? When we use the
.append function for extending the list in python, we don"t need to know its final size in advance. I am wondering if something similar exists for creating a bigger array from smaller arrays, starting with an empty array.