Breaking News: Grepper is joining You.com. Read the official announcement!

numpy compare arrays

Add Answer

Delightful Dragonfly answered on May 18, 2021 Popularity 10/10 Helpfulness 9/10

answer numpy compare arrays

related numpy arrays equality

related compare two numpy arrays python

related numpy array comparison

numpy compare arrays

Comment

bool isEqual = numpy.array_equal(Array1, Array2)

Popularity 10/10 Helpfulness 9/10 Language python

Source: Grepper

Tags: arrays compare numpy python

Link to this answer
Share Copy Link

Contributed on May 18 2021

Delightful Dragonfly

0 Answers Avg Quality 2/10

Closely Related Answers

numpy arrays equality

Comment

np.array_equal(A,B)  # test if same shape, same elements values
np.array_equiv(A,B)  # test if broadcastable shape, same elements values
np.allclose(A,B,...) # test if same shape, elements have close enough values

Popularity 10/10 Helpfulness 7/10 Language python

Source: stackoverflow.com

Tags: arrays ar

Link to this answer
Share Copy Link

Contributed on Jul 15 2022

Xyndra

0 Answers Avg Quality 2/10

compare two numpy arrays python

Comment

import numpy as np
  
A = np.array([1, 1, 4.00003, 6])
B = np.array([2, 2, 4, 5])
is_A_B_equal = np.array_equal(A, B) # comparison is element wise

print(is_A_B_equal)
#------------------OUTPUT-----------------
False
#-----------------------------------------
# other logical operators for elements wise comparison: 
print(np.greater(A, B))
print(np.greater_equal(A, B))
print(np.less(A, B))
print(np.less_equal(A, B))
print(np.isclose(A, B)) # isclose() takes floating point error into 
                        # account, example 4 and 4.00003 are consider 
                        # to be close enough within floating point 
                        # tolerence.
#---------------OUTPUT-------------------
[False False  True  True]
[False False  True  True]
[ True  True False False]
[ True  True False False]
[False False  True False]
#----------------------------------------
# Or if single logical value is needed then all() method can be used.
# all() returns true if all elements-wise comparison are true else it 
# returns false. This is shown in output below: 
print(np.greater(A, B).all())
print(np.greater_equal(A, B).all())
print(np.less(A, B).all())
print(np.less_equal(A, B).all())
print(np.isclose(A, B).all())
#-----------------OUTPUT-----------------
False
False
False
False
False
#------------------------------------------
# Furthermore any() can be used in place of all() method. any() method
#returns true if any element-wise comparison is true.

Popularity 9/10 Helpfulness 6/10 Language javascript

Source: numpy.org

Tags: arrays ar

Link to this answer
Share Copy Link

Contributed on Mar 07 2023

Coderunner

0 Answers Avg Quality 2/10

numpy array comparison

Comment

np_array > 5 # Compare each element of numpy array with a variable 
np_array1 > np_array2 # Compare 2 numpy arrays 
np.logical_and(np_array1,np_array2) # and operation in numpy
np.logical_or(np_array1,np_array2) # or operation in numpy
np.logical_not(np_array1) # not operation in numpy

Popularity 8/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: array-comparison arra

Link to this answer
Share Copy Link

Contributed on Oct 30 2023

Innocent Iguana

0 Answers Avg Quality 2/10

numpy compare arrays

Contents

More Related Answers

numpy compare arrays

Closely Related Answers

numpy arrays equality

compare two numpy arrays python

numpy array comparison

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.