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Python numpy logical functions are logical_and, logical_or, logical_not, and logical_xor.
Like any other programming, numpy has regular logical operators like and, or, not and xor.
This is the list
logical_and (x1, x2, /[, out, where, …]) |
Compute the truth value of x1 AND x2 element-wise. |
logical_or (x1, x2, /[, out, where, casting, …]) |
Compute the truth value of x1 OR x2 element-wise. |
logical_not (x, /[, out, where, casting, …]) |
Compute the truth value of NOT x element-wise. |
logical_xor (x1, x2, /[, out, where, …]) |
Compute the truth value of x1 XOR x2, element-wise. |
Examples
Numpy logical.and operator
This is a basic example showing logical.and
import numpy as np print('---logical_and operator Example---') print('True logical_and True = ', np.logical_and(True, True)) print('True logical_and False = ', np.logical_and(True, False)) print('False logical_and True = ', np.logical_and(False, True)) print('False logical_and False = ', np.logical_and(False, False))
This is the result of running this
>>> %Run numpylogical.py ---logical_and operator Example--- True logical_and True = True True logical_and False = False False logical_and True = False False logical_and False = False
Numpy logical.or operator
This is a basic example showing logical.or
import numpy as np print('---logical_or operator Example---') print('True logical_or True = ', np.logical_or(True, True)) print('True logical_or False = ', np.logical_or(True, False)) print('False logical_or True = ', np.logical_or(False, True)) print('False logical_or False = ', np.logical_or(False, False))
This is the result of running this
>>> %Run numpylogicalor.py ---logical_or operator Example--- True logical_or True = True True logical_or False = True False logical_or True = True False logical_or False = False
Numpy logical_not operator
This is a basic example showing the Numpy logical_not function
import numpy as np print('---logical_not operator Example---') print('logical_not True = ', np.logical_not(True)) print('logical_not False = ', np.logical_not(False))
This is the result of running this
>>> %Run numpylogicalnot.py ---logical_not operator Example--- logical_not True = False logical_not False = True
Numpy logical_xor operator
This is a basic example showing the Numpy logical_xor function.
import numpy as np print('---logical_xor operator Example---') print('True logical_xor True = ', np.logical_xor(True, True)) print('True logical_xor False = ', np.logical_xor(True, False)) print('False logical_xor True = ', np.logical_xor(False, True)) print('False logical_xor False = ', np.logical_xor(False, False))
This is the result of running this
>>> %Run numpylogicalxor.py ---logical_xor operator Example--- True logical_xor True = False True logical_xor False = True False logical_xor True = True False logical_xor False = False