Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- 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 the 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.
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.
NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.
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, False, True], [True, True, 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 −
print("
Result (NOT)...
",np.logical_not(arr))Example
import numpy as np
# Creating a 2D numpy array using the array() method
# We have inserted elements
arr = np.array([[True, False, True], [True, True, 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
print("
Result (NOT)...
",np.logical_not(arr))Output
Array... [[ True False True] [ True True False]] Our Array type... bool Our Array Dimension... 2 Our Array Shape... (2, 3) Result (NOT)... [[False True False] [False False True]]
222 Views
