NumPy: Create a 1-D array going from 0 to 50

Last update on March 24 2025 13:39:42 (UTC/GMT +8 hours)

1D Array (0–50) & (10–50)

Write a NumPy program to create a 1-D array with values from 0 to 50 and an array from 10 to 50.

Pictorial Presentation:

Sample Solution:

Python Code:

# Importing the NumPy library with an alias 'np'
import numpy as np

# Creating an array from 0 to 49 using arange
x = np.arange(50)

# Printing the array from 0 to 49
print("Array from 0 to 50:")
print(x)

# Creating an array from 10 to 49 using arange
x = np.arange(10, 50)

# Printing the array from 10 to 49
print("Array from 10 to 50:")
print(x) 

Sample Output:

Array from 0 to 50:                                                    
[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 2
3 24                                                                   
 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 4
8 49]                                                                  
Array from 10 to 50:                                                   
[10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 3
3 34                                                                   
 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49]

Explanation:

In the above code -

x = np.arange(50): The present line creates a NumPy array x using the np.arange() function. The function takes one argument, which is the stop value. It generates a sequence of integers starting from 0 (inclusive) up to, but not including, the stop value (in this case, 50). The resulting array will contain integers from 0 to 49.

x = np.arange(10, 50): The present line creates another NumPy array x using the np.arange() function. This time, the function takes two arguments: the start value (10) and the stop value (50). It generates a sequence of integers from the start value (inclusive) up to, but not including, the stop value. The resulting array will contain integers from 10 to 49.

For more Practice: Solve these Related Problems:

• Generate two 1D arrays: one with values from 0 to 49 and another with values from 10 to 49 using np.arange.
• Create a function that returns both arrays and then computes their set difference.
• Validate the starting and ending values of both arrays to ensure correct ranges.
• Compare the two arrays element-wise to determine overlapping and non-overlapping values.

Python-Numpy Code Editor: