Remove one column for a numpy array

Question

I have a numpy array of dimension (48, 366, 3) and I want to remove the last column from the array to make it (48, 365, 3). What is the best way to do that? (All the entries

Answer 1

You could try numpy.delete:

http://docs.scipy.org/doc/numpy/reference/generated/numpy.delete.html

or just get the slice of the array you want and write it to a new array.

For example:

a = np.random.randint(0,2, size=(48,366,3))
b = np.delete(a, np.s_[-1:], axis=1)
print b.shape # <--- (48,365,3)

or equivalently:

b = np.delete(a, -1, axis=1)

or:

b = a[:,:-1,:]

Answer 2

Along the lines:

In []: A= rand(48, 366, 3)
In []: A.shape
Out[]: (48, 366, 3)

In []: A= A[:, :-1, :]
In []: A.shape
Out[]: (48, 365, 3)