all
I have a numpy array, the dimension of the element is different. for example:
[
[1,2,3],
[2,3,4,5,6]
[1,2]
]
I want to adjust the element dimension, set the dimension as the largest one, and fill with 0, how can I do it?
all
I have a numpy array, the dimension of the element is different. for example:
[
[1,2,3],
[2,3,4,5,6]
[1,2]
]
I want to adjust the element dimension, set the dimension as the largest one, and fill with 0, how can I do it?
You can create a placeholder with the desired shape first, then fill the placeholder with the data
list
data = [[1,2,3], [2,3,4,5,6], [1,2]]
# create a placeholder
tmp = np.zeros((len(data), max([len(item) for item in data])))
# fill the placeholder with data
for ind, line in enumerate(data):
tmp[ind, :len(line)] = line
However, this may not be super fast when the size of the data list is large.