
Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Compute Truth Value of Not an Array Element-wise in NumPy
To compute the truth value of NOT an array element-wise, use the numpy.logical_not() method in Python Numpy. Return value is either True or False. We have set a condition here.
Return value is the boolean result with the same shape as x of the NOT operation on elements of x. This is a scalar if x is a scalar. 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.
The condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.
Steps
At first, import the required library −
import numpy as np
Creating a 2D numpy array using the array() method. We have inserted elements −
arr = np.array([[True, 5, True], [7, 9, False]])
Display the array −
print("Array...
", arr)
Get the type of the array −
print("
Our Array type...
", arr.dtype)
Get the dimension of the array −
print("
Our Array Dimension...
",arr.ndim)
Get the shape of the array −
print("
Our Array Shape...
",arr.shape)
To compute the truth value of NOT an array element-wise, use the numpy.logical_not() method in Python Numpy. Return value is either True or False. We have set a condition here −
print("
Result (NOT)...
",np.logical_not(arr > 8))
Example
import numpy as np # Creating a 2D numpy array using the array() method # We have inserted elements arr = np.array([[True, 5, True], [7, 9, False]]) # Display the array print("Array...
", arr) # Get the type of the array print("
Our Array type...
", arr.dtype) # Get the dimension of the array print("
Our Array Dimension...
",arr.ndim) # Get the shape of the array print("
Our Array Shape...
",arr.shape) # To compute the truth value of NOT an array element-wise, use the numpy.logical_not() method in Python Numpy # Return value is either True or False # We have set a condition here print("
Result (NOT)...
",np.logical_not(arr > 8))
Output
Array... [[1 5 1] [7 9 0]] Our Array type... int64 Our Array Dimension... 2 Our Array Shape... (2, 3) Result (NOT)... [[ True True True] [ True False True]]