How to compare two NumPy arrays?
This article focuses on the comparison done using NumPy on arrays. Comparing two NumPy arrays determines whether they are equivalent by checking if every element at each corresponding index are the same.
Method 1:
We generally use the == operator to compare two NumPy arrays to generate a new array object. Call ndarray.all() with the new array object as ndarray to return True if the two NumPy arrays are equivalent.
import numpy as np an_array = np.array([[1, 2], [3, 4]])another_array = np.array([[1, 2], [3, 4]]) comparison = an_array == another_arrayequal_arrays = comparison.all() print(equal_arrays) |
Output:
True
Method 2:
We can also use greater than, less than and equal to operators to compare. To understand, have a look at the code below.
Syntax : numpy.greater(x1, x2[, out]) Syntax : numpy.greater_equal(x1, x2[, out]) Syntax : numpy.less(x1, x2[, out]) Syntax : numpy.less_equal(x1, x2[, out])
import numpy as np a = np.array([101, 99, 87])b = np.array([897, 97, 111]) print("Array a: ", a)print("Array b: ", b) print("a > b")print(np.greater(a, b)) print("a >= b")print(np.greater_equal(a, b)) print("a < b")print(np.less(a, b)) print("a <= b")print(np.less_equal(a, b)) |
Output:
Last Updated on March 17, 2022 by admin