NumPy: Set the precision value to 6 and print the array of scientific notation numbers
Represent values in scientific notation with precision.
Write a NumPy program to create an array using scientific notation numbers. Set the precision value to 6 and print the array.
Sample Solution:
Python Code:
# Importing NumPy library
import numpy as np
# Creating an array with scientific notation values
nums = np.array([1.2e-7, 1.5e-6, 1.7e-5])
# Displaying the original array
print("Original arrays:")
print(nums)
# Setting the precision value to 10 and suppressing the scientific notation
np.set_printoptions(suppress=True, precision=10)
# Displaying the array with updated precision and suppressed scientific notation
print("Set the precision value to 10:")
print(nums)
Sample Output:
Original arrays: [1.2e-07 1.5e-06 1.7e-05] Set the precision value to 10: [0.00000012 0.0000015 0.000017 ]
Explanation:
In the above exercise -
nums = np.array([1.2e-7, 1.5e-6, 1.7e-5]) creates a NumPy array with three small floating-point numbers in scientific notation.
np.set_printoptions(suppress=True, precision=10) sets the global print options for NumPy. The suppress=True option disables the use of scientific notation when printing NumPy arrays, and the precision=10 option sets the number of decimal places displayed to 10.
print(nums): Finally print() function prints the generated array.
Python-Numpy Code Editor: