NumPy: Suppresses the use of scientific notation for small numbers in NumPy array

NumPy: Array Object Exercise-84 with Solution

Suppress Scientific Notation in Array

Write a NumPy program to suppress the use of scientific notation for small numbers in a NumPy array.

Sample Solution:

Python Code:

# Importing the NumPy library and aliasing it as 'np'
import numpy as np

# Creating a NumPy array 'x' containing floating-point values
x = np.array([1.6e-10, 1.6, 1200, .235])

# Printing a message indicating the original array elements will be shown
print("Original array elements:")

# Printing the original array 'x' with its elements
print(x)

# Printing a message indicating the suppression of scientific notation in the array display
print("Array - scientific notation is suppressed")

# Setting the print options to suppress scientific notation in array printing
np.set_printoptions(suppress=True)

# Printing the array 'x' with scientific notation suppressed
print(x)

Sample Output:

Original array elements:
[1.60e-10 1.60e+00 1.20e+03 2.35e-01]
Print array values with precision 3:
[   0.       1.6   1200.       0.235]

Explanation:

In the above code –

x = np.array([1.6e-10, 1.6, 1200, .235]): Create a NumPy array x containing 4 float values, including a very small number and numbers with different magnitudes.

np.set_printoptions(suppress=True): Set the print options for NumPy arrays, specifying that the scientific notation should be suppressed when displaying the elements.

print(x): Print the NumPy array x.

Python-Numpy Code Editor:

Previous: Write a NumPy program to display NumPy array elements of floating values with given precision.
Next: Write a NumPy program to create a NumPy array of 10 integers from a generator.