By using python: Write a NumPy program to get the following array by using loops Output: array([[ 1, 2, 3, 4, 5, 6, 7, 8, 9], [ 2, 4, 6, 8, 10, 12, 14, 16, 18], [ 3, 6, 9, 12, 15, 18, 21, 24, 27], [ 4, 8, 12, 16, 20, 24, 28, 32, 36], [ 5, 10, 15, 20, 25, 30, 35, 40, 45], [ 6, 12, 18, 24, 30, 36, 42, 48, 54], [ 7, 14, 21, 28, 35, 42, 49, 56, 63], [ 8, 16, 24, 32, 40, 48, 56, 64, 72], [ 9, 18, 27, 36, 45, 54, 63, 72, 81]]) Q1.2. Replace all odd numbers in array with -1. Q1.3. By using numpy functions and prog array, get the result. prog = np.array([1,2,3,4,6]). Result= array([1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6, 6, 6, 6, 6, 1, 2, 3, 4, 6, 1, 2, 3, 4, 6, 1, 2, 3, 4, 6, 1, 2, 3, 4, 6]) Q1.4. Write a NumPy program to create random 2 array and size of arrays should be 1x15. In your array there should be integer numbers from 0 to 9 and by using numpy function, find common numbers in your array. Q1.5. Write a NumPy program to generate 50 random number between 0 and 150. If your number bigger than 100, make this number 100 and if your number smaller than 50 make this number 50 by using numpy functions. Q1.6. Write a NumPy program to generate 16 random integer numbers. Then convert this array to 4x4 array. Repeat this operation and create 3 different 4x4 arrays. By getting summation of these 3 arrays, find the average array, and calculate the maximum, minimum, mean, and standard deviation of each line of matrix values.
By using python:
Write a NumPy program to get the following array by using loops
Output:
array([[ 1, 2, 3, 4, 5, 6, 7, 8, 9],
[ 2, 4, 6, 8, 10, 12, 14, 16, 18],
[ 3, 6, 9, 12, 15, 18, 21, 24, 27],
[ 4, 8, 12, 16, 20, 24, 28, 32, 36],
[ 5, 10, 15, 20, 25, 30, 35, 40, 45],
[ 6, 12, 18, 24, 30, 36, 42, 48, 54],
[ 7, 14, 21, 28, 35, 42, 49, 56, 63],
[ 8, 16, 24, 32, 40, 48, 56, 64, 72],
[ 9, 18, 27, 36, 45, 54, 63, 72, 81]])
Q1.2. Replace all odd numbers in array with -1.
Q1.3. By using numpy functions and prog array, get the result.
prog = np.array([1,2,3,4,6]).
Result= array([1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3,
3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6, 6, 6, 6, 6, 1, 2, 3, 4,
6, 1, 2, 3, 4, 6, 1, 2, 3, 4, 6, 1, 2, 3, 4, 6])
Q1.4. Write a NumPy program to create random 2 array and size of arrays should be 1x15. In
your array there should be integer numbers from 0 to 9 and by using numpy function, find
common numbers in your array.
Q1.5. Write a NumPy program to generate 50 random number between 0 and 150. If your
number bigger than 100, make this number 100 and if your number smaller than 50 make this
number 50 by using numpy functions.
Q1.6. Write a NumPy program to generate 16 random integer numbers. Then convert this array
to 4x4 array. Repeat this operation and create 3 different 4x4 arrays. By getting summation of
these 3 arrays, find the average array, and calculate the maximum, minimum, mean, and
standard deviation of each line of matrix values.
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