NumPy: Test two arrays are equal (element wise) or not
NumPy: Basic Exercise-44 with Solution
Write a NumPy program to check whether two arrays are equal (element wise) or not.
Sample Solution :
Python Code :
import numpy as np
nums1 = np.array([0.5, 1.5, 0.2])
nums2 = np.array([0.4999999999, 1.500000000, 0.2])
np.set_printoptions(precision=15)
print("Original arrays:")
print(nums1)
print(nums2)
print("\nTest said two arrays are equal (element wise) or not:?")
print(nums1 == nums2)
nums1 = np.array([0.5, 1.5, 0.23])
nums2 = np.array([0.4999999999, 1.5000000001, 0.23])
print("\nOriginal arrays:")
np.set_printoptions(precision=15)
print(nums1)
print(nums2)
print("\nTest said two arrays are equal (element wise) or not:?")
print(np.equal(nums1, nums2))
Sample Output:
Original arrays: [0.5 1.5 0.2] [0.4999999999 1.5 0.2 ] Test said two arrays are equal (element wise) or not:? [False True True] Original arrays: [0.5 1.5 0.23] [0.4999999999 1.5000000001 0.23 ] Test said two arrays are equal (element wise) or not:? [False False True]
Python-Numpy Code Editor:
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Documentation references for the modules, constants and functions used above:
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- The __file__ constant
- os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
- os.path.dirname(path) (returns "the directory name of pathname path")
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