31 July 2020
Code
# Import library
import numpy as np
# Create 1D array: random floats
x1 = np.random.randn(3)
# Create 1D array: random integers
x2 = np.random.randint(low=0, high=10, size=3)
# Create 2D array: random floats
x3 = np.random.randn(3,4)
# Create 2D array: random integers
x4 = np.random.randint(low=0, high=10, size=(3,4))
# Create 3D array: random floats
x5 = np.random.randn(2,3,4)
# Create 3D array: random integers
x6 = np.random.randint(low=0, high=10, size=(2,3,4))
# Output
print('1D array: Random floats: \n', x1,'\n', 'Type:', type(x1), '\nShape:', x1.shape)
print('\n', '1D array: Random integers: \n', x2, '\n', 'Type:',type(x2), '\nShape:', x2.shape)
print("---")
print('\n 2D array: Random floats: \n', x3,'\n', 'Type:',type(x3), '\nShape:', x3.shape)
print('\n', '2D array: Random integers: \n', x4, '\n', 'Type:',type(x4), '\nShape:', x4.shape)
print("---")
print('\n 3D array: Random floats: \n', x5,'\n', 'Type:',type(x5), '\nShape:', x5.shape)
print('\n', '3D array: Random integers: \n', x6, '\n', 'Type:',type(x6), '\nShape:', x6.shape)
Output
1D array: Random floats:
[0.37562636 0.20801882 0.61969609]
Type: <class 'numpy.ndarray'>
Shape: (3,)
1D array: Random integers:
[4 5 0]
Type: <class 'numpy.ndarray'>
Shape: (3,)
---
2D array: Random floats:
[[-0.81983284 0.6537328 -0.34766904 -1.06942748]
[-0.18205896 0.5773004 1.62018886 0.45199227]
[ 0.73367846 -0.6050891 -0.62265112 -0.21146127]]
Type: <class 'numpy.ndarray'>
Shape: (3, 4)
2D array: Random integers:
[[9 7 8 3]
[4 6 1 6]
[6 2 6 1]]
Type: <class 'numpy.ndarray'>
Shape: (3, 4)
---
3D array: Random floats:
[[[ 0.28408021 -1.94375853 1.09282042 1.17403851]
[ 1.68796879 -1.1177652 0.07895971 0.45097358]
[-0.14280229 -1.02872285 1.01596557 0.94658191]]
[[-0.90650086 1.5345628 -1.21761996 -0.9578847 ]
[-1.17896895 0.18456544 -0.68081066 0.32414639]
[-0.94402687 1.48925139 0.58531697 0.17207696]]]
Type: <class 'numpy.ndarray'>
Shape: (2, 3, 4)
3D array: Random integers:
[[[9 1 1 6]
[9 4 3 2]
[6 6 0 6]]
[[7 1 5 3]
[0 7 4 2]
[4 7 8 3]]]
Type: <class 'numpy.ndarray'>
Shape: (2, 3, 4)
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