Remove one column for a numpy array

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)

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,:]

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