Python | Numpy np.assert_array_equal() method

Python | Numpy np.assert_approx_equal() method

Last Updated : 30 Jan, 2020

With the help of np.assert_approx_equal() method, we can get the assertion error if two items are not equal up to significant digits by using np.assert_approx_equal() method.

Syntax : np.assert_approx_equal(actual, desired, significant) Return : Return the assertion error if two values are not equal.

Example #1 : In this example we can see that by using np.assert_approx_equal() method, we are able to get the assertion error if two values are not equal up to a significant digit by using this method.

Python3 1=1

# import numpy and assert_approx_equal
import numpy as np
import numpy.testing as npt

# using np.assert_approx_equal() method
gfg = npt.assert_approx_equal(1.2222222222, 1.2222222222, significant = 5)

print(gfg)

Output :

Nope

Example #2 :

Python3 1=1

# import numpy and assert_approx_equal
import numpy as np
import numpy.testing as npt

# using np.assert_approx_equal() method
gfg = npt.assert_approx_equal(1.2222222222, 1.23422222, significant = 5)

print(gfg)

Output :

AssertionError: Items are not equal to 5 significant digits: ACTUAL: 1.2222222222 DESIRED: 1.23422222

Python | Numpy np.assert_array_equal() method

J

Jitender_1998

Improve

Article Tags :

Practice Tags :

python

Similar Reads

Python | Numpy np.assert_array_equal() method

With the help of np.assert_array_equal() method, we can get the assertion error if two array like objects are not equal by using np.assert_array_equal() method. Syntax : np.assert_array_equal(x, y) Return : Return the assertion error if two objects are not equal. Example #1 : In this example we can

Python | Numpy np.assert_equal() method

With the help of np.assert_equal() method, we can get the assertion error when two objects are not equal by using np.assert_equal() method. Syntax : np.assert_equal(actual, desired) Return : Return assertion error if two object are unequal. Example #1 : In this example we can see that by using np.as

Python | Numpy np.assert_almost_equal() method

With the help of np.assert_almost_equal() method, we can get the assertion error if two items are not equal up to desired precision value by using np.assert_almost_equal() method. Syntax : np.assert_almost_equal(actual, desired, decimal) Return : Return the assertion error if two values are not equa

Python | Numpy np.assert_array_almost_equal() method

With the help of np.assert_array_almost_equal() method, we can get the assertion error if two array objects are not equal up to desired precision value by using np.assert_array_almost_equal() method. Syntax : np.assert_array_almost_equal(actual, desired, decimal) Return : Return the assertion error

Python | Numpy np.assert_string_equal() method

With the help of np.assert_string_equal() method, we can get the assertion error if two string are not equal by using np.assert_string_equal() method. Syntax : np.assert_string_equal(actual, desired) Return : Return assertion error if two strings are unequal. Example #1 : In this example we can see

Python | Numpy np.assert_array_less() method

With the help of np.assert_array_less() method, we can get the assertion error if two array like objects are not ordered by less than by using np.assert_array_less() method. Syntax : np.assert_array_less(x, y) Return : Return assertion error if two array objects are unequal. Example #1 : In this exa

Python | numpy.assert_allclose() method

With the help of numpy.assert_allclose() method, we can get the assertion errors when two array objects are not equal upto the mark by using numpy.assert_allclose(). Syntax : numpy.assert_allclose(actual_array, desired_array) Return : Return the Assertion error if two array objects are not equal. Ex

Python | Numpy np.leg2poly() method

np.leg2poly() method is used to convert a legendre series to a polynomial. Syntax : np.leg2poly(c) Parameters: c :[array_like] 1-D arrays of legendre series coefficients ordered from low to high. Return : [ndarray] 1-D array containing the coefficients of the equivalent polynomial. Code #1 : Python3

Python | Numpy np.hermevander() method

With the help of np.hermevander() method, we can get the pseudo vandermonde matrix at a given degree by using np.hermevander() method. Syntax : np.hermevander(x, deg) Return : Return the pseudo vandermonde matrix. Example #1 : In this example we can see that by using np.hermevander() method, we are

numpy.array_equal() in Python

numpy.array_equal(arr1, arr2) : This logical function that checks if two arrays have the same shape and elements. Parameters : arr1 : [array_like]Input array or object whose elements, we need to test. arr2 : [array_like]Input array or object whose elements, we need to test. Return : True, if both ar