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 are integers. I'm using Python v2.6)

Arnaud P · Accepted Answer · 2017-06-13 09:50:34Z

56

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,:]

edited Jun 13, 2017 at 9:50

Arnaud P

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answered Jul 15, 2011 at 17:10

JoshAdel

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eat · Accepted Answer · 2011-07-15 17:18:19Z

5

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)

answered Jul 15, 2011 at 17:18

eat

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