Question

Possible Duplicate:
numpy: access an array by column

I have a numpy array (numpy is imported as np)

gona = np.array([[ 1,  2,  3],
       [ 4,  5,  6],
       [ 7,  8,  9],
       [10, 11, 12]])

I can get the values of entire column of 1th row by gona[1][:].

array([4, 5, 6])

But if I try to get all values of a particular column of all rows (say I want values of 1st column in every row) I would try the gona[:][1]. But the result I get from this is same as before.

What can be the reason for this? How do I do such a thing in numpy?

Answer 1

You actually want to do this:

>>> a
array([[ 1,  2,  3],
       [ 4,  5,  6],
       [ 7,  8,  9],
       [10, 11, 12]])
>>> a[:,1]
array([ 2,  5,  8, 11])

a[:] just returns the entire array, so then a[:][1] is returning the second row of a. I think that’s where your confusion arises.

See this section of the Tentative Numpy Tutorial for more information on indexing multidimensional arrays.