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Compute the truth value of an array OR to another array element-wise in Numpy
To compute the truth value of an array OR another array element-wise, use the numpy.logical_or() method in Python Numpy. Return value is either True or False. Return value is the boolean result of the logical OR operation applied to the elements of x1 and x2; the shape is determined by broadcasting. This is a scalar if both x1 and x2 are scalars
The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
Steps
At first, import the required library −
import numpy as np
Creating two 2D numpy array using the array() method. We have inserted elements −
arr1 = np.array([[True, False, False], [False, True, True]]) arr2 = np.array([[True, False, True], [True, True, False]])
Display the arrays −
print("Array 1...
", arr1)
print("
Array 2...
", arr2)Get the type of the arrays −
print("
Our Array 1 type...
", arr1.dtype)
print("
Our Array 2 type...
", arr2.dtype)Get the dimensions of the Arrays −
print("
Our Array 1 Dimensions...
",arr1.ndim)
print("
Our Array 2 Dimensions...
",arr2.ndim)Get the shape of the Arrays −
print("
Our Array 1 Shape...
",arr1.shape)
print("
Our Array 2 Shape...
",arr2.shape)To compute the truth value of an array OR another array element-wise, use the numpy.logical_or() method. Return value is either True or False −
print("
Result (OR)...
",np.logical_or(arr1, arr2))Example
import numpy as np
# Creating two 2D numpy array using the array() method
# We have inserted elements
arr1 = np.array([[True, False, False], [False, True, True]])
arr2 = np.array([[True, False, True], [True, True, False]])
# Display the arrays
print("Array 1...
", arr1)
print("
Array 2...
", arr2)
# Get the type of the arrays
print("
Our Array 1 type...
", arr1.dtype)
print("
Our Array 2 type...
", arr2.dtype)
# Get the dimensions of the Arrays
print("
Our Array 1 Dimensions...
",arr1.ndim)
print("
Our Array 2 Dimensions...
",arr2.ndim)
# Get the shape of the Arrays
print("
Our Array 1 Shape...
",arr1.shape)
print("
Our Array 2 Shape...
",arr2.shape)
# To compute the truth value of an array OR another array elementwise, use the numpy.logical_or() method in Python Numpy
# Return value is either True or False
print("
Result (OR)...
",np.logical_or(arr1, arr2))Output
Array 1... [[ True False False] [False True True]] Array 2... [[ True False True] [ True True False]] Our Array 1 type... bool Our Array 2 type... bool Our Array 1 Dimensions... 2 Our Array 2 Dimensions... 2 Our Array 1 Shape... (2, 3) Our Array 2 Shape... (2, 3) Result (OR)... [[ True False True] [ True True True]]
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