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DEPARTMENT OF AVIONICS ENGINEERING
SUBJECT : Introduction to Information Technology
Lab
SUBJECT CODE : 108444
LAB NO : 10
TITLE :^ NumPy
SUBMITTED TO : Ms. Anila Ali Ahmed
SEMESTER : 1
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SECTION : A
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DEADLINE: 1600hrs, 30th^ December 2022
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Task # 1: Explain the following functions in 1-2 lines along with examples
ans = np.sum(array) ans = np.sqrt(array) ans = np.square(array) ans = np.add(array A, arrayB) ans = array.T ans = np.max(A) //works for 1D, 2D ans = np.min(A) //works for 1D, 2D ans = np.ceil(array) ans = np.floor(array) ans = np.round(array) ans = array.reshape(r,c) ans = np.ones(n) ans = np.zeros(m)
Task # 2: Create a vector of length 20, where each component has the value 1. Then replace
odd index values with 0. ( use numpy.ones() )
Task # 3: Create a 10x10 random matrix. ( use numpy.random.rand(r,c) )
(a) Print the element in the first row, and the first column. (b) Set the element in last row, and the last column to -1 and then print the matrix. (c) Print the elements in the second row. (d) Print the elements in the third column. (e) Replace all the elements in the second row with 0 and then print the matrix.
Task # 4: Evaluate the following:
a) R1 = np.random.random(10, 10) (you may use (2,2) initially) b) R2 = R1 < 0.5 (Print value of R2 and Justify the logic behind it) c) R1[R2] (Print R1[R2] and Justify the logic behind it) d) R1[R2] = -1 (Print R1 and Justify the logic behind it)
Task # 5: Create two matrices, A and B, of random numbers, with the 5x5 shape.
a. Add matrices element wise, using np.add(..) It also works with + b. Add 6 to all the elements of the matrix A. c. Double all the elements of the matrix B.
d. Try np.sum() and understand its functionality in comparison with the function
np.add().
Tax Collected at Day 2is 10;
