Q1 Consider the following NumPy array
import numpy X = numpy.array([ [11 ,22, 33], [44, 55, 66], [77, 88, 99]])
Return the array of elements in the third column (from all rows).
In the row portion, we will write ":". And in the column portion, we will write 2 because the third column's index position is 2.
Q2 Consider the following NumPy array
import numpy Y = numpy.array([ [3,6,9,12], [15,18,21,24], [27,30,33,36], [39,42,45,48], [51,54,57,60] ])
Return a sub-array consisting of the odd rows and even columns of y
As we want odd rows so we will write 2 in step porition of row indexing.
For even columns, we will start with the second column, whose index value is 1, and in the step portion, we will write 2.