- Add all the elements of the array with the sum method. Go back to array_1:
array_1array([[ 1, 2], [ 3, 4], [ 5, 6], [ 7, 8], [ 9, 10]])array_1.sum()55
- Find all the sums by row:
array_1.sum(axis = 1)array([ 3, 7, 11, 15, 19])
- Find all the sums by column:
array_1.sum(axis = 0)array([25, 30])
- Find the mean of each column in a similar way. Note that the dtype of the array of averages is np.float:
array_1.mean(axis = 0)array([ 5., 6.])