Question

Using the arrays created in Question 4 above, write NumPy commands for the following:

1. Use NumPy. split() to split the array myarray2 into 5 arrays columnwise. Store your resulting arrays in myarray2A, myarray2B, myarray2C, myarray2D and myarray2E. Print the arrays myarray2A, myarray2B, myarray2C, myarray2D and myarray2E.
2. Split the array zeros at array index 2, 5, 7, 8 and store the resulting arrays in zerosA, zerosB, zerosC and zerosD and print them.
3. Concatenate the arrays myarray2A, myarray2B and myarray2C into an array having 3 rows and 3 columns.

Answer 1

a) 

myarray2A, myarray2B, myarray2C, myarray2D, myarray2E = np.split(myarray2, 5, axis=1)
print("myarray2A:")
print(myarray2A)
print("myarray2B:")
print(myarray2B)
print("myarray2C:")
print(myarray2C)
print("myarray2D:")
print(myarray2D)
print("myarray2E:")
print(myarray2E)

Output:

myarray2A:
[[ 4.]
 [24.]
 [44.]]
myarray2B:
[[ 8.]
 [28.]
 [48.]]
myarray2C:
[[12.]
 [32.]
 [52.]]
myarray2D:
[[16.]
 [36.]
 [56.]]
myarray2E:
[[20.]
 [40.]
 [60.]]

b)

zerosA, zerosB, zerosC, zerosD, zeroE = np.split(zeros, [2, 5, 7, 8])
print("zerosA:\n", zerosA)
print("zerosB:\n", zerosB)
print("zerosC:\n", zerosC)
print("zerosD:\n", zerosD)

Output:

zerosA:
[0. 0.]
zerosB:
[0. 0. 0.]
zerosC:
[0. 0.]
zerosD:
[0.]

c) 

reshaped = np.concatenate((myarray2A, myarray2B, myarray2C), axis=1).reshape(3, 3)
print("Concatenated and Reshaped Array:\n", reshaped)

Output:

Concatenated  and reshaped array:

[[4.	8.	12.]
[24.	28.	32.]
[44.	48.	52.]]