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
Return mantissa and exponent as a pair for a specific array element in Numpy
To return mantissa and exponent as a pair of a given array, use the numpy.frexp() method in Python Numpy. 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
Create an array −
arr = np.array([6.8, 31.9, 100.8, 50, -10.5, np.nan, np.inf])
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)
To return mantissa and exponent as a pair of a given array, use the numpy.frexp() method in Python Numpy −
print("
Return mantissa and exponent as a pair of a given array...
",np.frexp(arr))To return mantissa and exponent as a pair for a specific array element, use the index value in the numpy.frexp() method in Python Numpy −
print("
Result (specific array element)...
",np.frexp(arr[2]))
Example
import numpy as np
# Create an array
arr = np.array([6.8, 31.9, 100.8, 50, -10.5, np.nan, np.inf])
# 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)
# To return mantissa and exponent as a pair of a given array, use the numpy.frexp() method in Python Numpy
print("
Return mantissa and exponent as a pair of a given array...
",np.frexp(arr))
# To return mantissa and exponent as a pair for a specific array element, use the index value in the numpy.frexp() method in Python Numpy
print("
Result (specific array element)...
",np.frexp(arr[2]))Output
Array... [ 6.8 31.9 100.8 50. -10.5 nan inf] Our Array type... float64 Our Array Dimensions... 1 Number of elements... 7 Return mantissa and exponent as a pair of a given array... (array([ 0.85 , 0.996875, 0.7875 , 0.78125 , -0.65625 , nan,inf]), array([3, 5, 7, 6, 4, 0, 0], dtype=int32)) Result (specific array element)... (0.7875, 7)
64 Views
