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
Calculate the n-th discrete difference in Python
To calculate the n-th discrete difference, use the numpy.diff() method. The first difference is given by out[i] = a[i+1] - a[i] along the given axis, higher differences are calculated by using diff recursively. The diff() method returns the n-th differences. The shape of the output is the same as a except along axis where the dimension is smaller by n. The type of the output is the same as the type of the difference between any two elements of a. This is the same as the type of a in most cases. A notable exception is datetime64, which results in a timedelta64 output array.
The 1st parameter is the input array. The 2nd parameter is n, i.e. the number of times values are differenced. If zero, the input is returned as-is. The 3rd parameter is the axis along which the difference is taken, default is the last axis. The 4th parameter is the values to prepend or append to the input array along axis prior to performing the difference. Scalar values are expanded to arrays with length 1 in the direction of axis and the shape of the input array in along all other axes.
Steps
At first, import the required library −
import numpy as np
Creating a numpy array using the array() method. We have added elements of int type with nan −
arr = np.array([10, 15, 30, 65, 80, 87, np.nan])
Display the array −
print("Our Array...\n",arr)Check the Dimensions −
print("\nDimensions of our Array...\n",arr.ndim)
Get the Datatype −
print("\nDatatype of our Array object...\n",arr.dtype)To calculate the n-th discrete difference, use the numpy.diff() method. The first difference is given by out[i] = a[i+1] - a[i] along the given axis, higher differences are calculated by using diff recursively −
print("\nDiscrete difference..\n",np.diff(arr))Example
import numpy as np
# Creating a numpy array using the array() method
# We have added elements of int type with nan
arr = np.array([10, 15, 30, 65, 80, 87, np.nan])
# Display the array
print("Our Array...\n",arr)
# Check the Dimensions
print("\nDimensions of our Array...\n",arr.ndim)
# Get the Datatype
print("\nDatatype of our Array object...\n",arr.dtype)
# To calculate the n-th discrete difference, use the numpy.diff() method
# The first difference is given by out[i] = a[i+1] - a[i] along the given axis, higher differences are calculated by using diff recursively.
print("\nDiscrete difference..\n",np.diff(arr))Output
Our Array... [10. 15. 30. 65. 80. 87. nan] Dimensions of our Array... 1 Datatype of our Array object... float64 Discrete difference.. [ 5. 15. 35. 15. 7. nan]
83 Views
