NumPy: Create a 1-D array of 30 evenly spaced elements between 2.5. and 6.5, inclusive
30 Evenly Spaced Values (2.5–6.5)
Write a NumPy program to create a 1-D array of 30 evenly spaced elements between 2.5 and 6.5, inclusive.
Sample Solution:
Python Code:
# Importing the NumPy library with an alias 'np'
import numpy as np
# Generating an array of 30 evenly spaced values from 2.5 to 6.5 inclusive
x = np.linspace(2.5, 6.5, 30)
# Printing the generated array
print(x)
Sample Output:
[ 2.5 2.63793103 2.77586207 2.9137931 3.05172414 3.1896551 7 3.32758621 3.46551724 3.60344828 3.74137931 3.87931034 4.0172413 8 4.15517241 4.29310345 4.43103448 4.56896552 4.70689655 4.8448275 9 4.98275862 5.12068966 5.25862069 5.39655172 5.53448276 5.6724137 9 5.81034483 5.94827586 6.0862069 6.22413793 6.36206897 6.5 ]
Explanation:
In the above code -
x = np.linspace(2.5, 6.5, 30): This line creates a NumPy array x using the np.linspace() function. The function takes three arguments: the start value (2.5), the stop value (6.5), and the number of samples to generate (30). It generates a sequence of 30 evenly spaced values between the start and stop values, inclusive.
print(x): This line prints the array ‘x’ containing the 30 evenly spaced values between 2.5 and 6.5.
For more Practice: Solve these Related Problems:
- Create a 1D array of 30 evenly spaced numbers between 2.5 and 6.5 using np.linspace and verify the endpoints.
- Write a function that generates a linspace array and then applies a transformation to each element.
- Check that the difference between consecutive elements remains constant throughout the array.
- Validate the generated array by computing its mean and comparing it to the expected midpoint value.
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