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,:]