- Trending Categories
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 absolute values element-wise and store the result in a new location in Numpy
To compute the absolute values element-wise, use the numpy.fabs() method in Python Numpy. The new location where we will store the result is a new array.
This function returns the absolute values (positive magnitude) of the data in x. Complex values are not handled, use absolute to find the absolute values of complex data. 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
Create an array with some NaT and date values −
arr = np.array([-1, 1, 10, 45, 67, 89, -97])
Display the array −
print("Array...
", arr)Get the type of the array −
print("
Our Array type...
", arr.dtype)
Get the dimensions of the Array −
print("
Our Array Dimensions...
",arr.ndim)Get the number of elements in the Array −
print("
Number of elements...
", arr.size)
Create another array with the same shape to store the result −
arrRes = np.array([5.3, -3.4, 7.6, 5.1, 5.9, 6.8, 9.8])
To compute the absolute values element-wise, use the numpy.fabs() method in Python Numpy. The new location where we will store the result is arrRes −
print("
Compute the absolute values element-wise...
",np.fabs(arr, arrRes))
Check the value of the new array where our result is stored −
print("
Result...
",arrRes)Example
import numpy as np
# Create an array with some NaT and date values
arr = np.array([-1, 1, 10, 45, 67, 89, -97])
# Display the array
print("Array...
", arr)
# Get the type of the array
print("
Our Array type...
", arr.dtype)
# Get the dimensions of the Array
print("
Our Array Dimensions...
",arr.ndim)
# Get the number of elements in the Array
print("
Number of elements...
", arr.size)
# Create another array with the same shape to store the result
arrRes = np.array([5.3, -3.4, 7.6, 5.1, 5.9, 6.8, 9.8])
# To compute the absolute values element-wise, use the numpy.fabs() method in Python Numpy
# The new location where we will store the result is arrRes
print("
Compute the absolute values element-wise...
",np.fabs(arr,
arrRes))
# Check the value of the new array where our result is stored
print("
Result...
",arrRes)Output
Array... [ -1 1 10 45 67 89 -97] Our Array type... int64 Our Array Dimensions... 1 Number of elements... 7 Compute the absolute values element-wise... [ 1. 1. 10. 45. 67. 89. 97.] Result... [ 1. 1. 10. 45. 67. 89. 97.]
45 Views
