NumPy: Create a 3x3x3 array with random values
3. 3x3x3 Random Array
Write a NumPy program to create a 3x3x3 array with random values.
Sample Solution:
Python Code:
# Importing the NumPy library as np
import numpy as np
# Generating a 3x3x3 NumPy array 'x' filled with random floats between 0 and 1 using np.random.random()
x = np.random.random((3, 3, 3))
# Printing the array 'x'
print(x)
Sample Output:
[[[ 0.08372197 0.09089865 0.54581268]
[ 0.62831932 0.06252404 0.1108799 ]
[ 0.25040264 0.80817908 0.37027715]]
[[ 0.44916756 0.66390614 0.83100662]
[ 0.87831954 0.17075539 0.7506945 ]
[ 0.56165801 0.72280907 0.22771692]]
[[ 0.04956428 0.7143399 0.37042941]
[ 0.78875282 0.27425369 0.88486919]
[ 0.13395418 0.86087257 0.36234729]]]
Explanation:
x = np.random.random((3,3,3)): This line generates a 3-dimensional array (3x3x3) of random floating-point numbers using the np.random.random() function. The input tuple (3,3,3) specifies the shape of the array, which has 3 arrays, each containing 3 arrays with 3 elements each.
print(x): Finally print() function prints the generated 3-dimensional array of random floating-point numbers.
Pictorial Presentation:
For more Practice: Solve these Related Problems:
- Create a 3x3x3 array of random values and compute the mean along the first axis.
- Reshape the 3x3x3 random array into a 9x3 array and verify the new dimensions.
- Compute the standard deviation of the elements in each 3x3 sub-array along the third axis.
- Apply a threshold to the 3x3x3 array to set all values below 0.5 to zero and count the nonzero elements.
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Next: Write a NumPy program to create a 5x5 array with random values and find the minimum and maximum values.
Python-Numpy Code Editor:
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