- 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
Divide one Hermite_e series by another in Python
To divide one Hermite_e series by another, use the polynomial.hermite.hermediv() method in Python Numpy. The method returns an array of Hermite_e series coefficients representing the quotient and remainder.
Returns the quotient-with-remainder of two Hermite_e series c1 / c2. The arguments are sequences of coefficients from lowest order “term” to highest, e.g., [1,2,3] represents the series P_0 + 2*P_1 + 3*P_2. The parameters, c1 and c2 are 1-D arrays of Hermite_e series coefficients ordered from low to high.
Steps
At first, import the required library −
import numpy as np from numpy.polynomial import hermite as H
Create 1-D arrays of Hermite_e series coefficients −
c1 = np.array([53., 30., 52., 7., 6.]) c2 = np.array([1, 2, 3])
Display the arrays of coefficients −
print("Array1...\n",c1) print("\nArray2...\n",c2)
Display the datatype −
print("\nArray1 datatype...\n",c1.dtype) print("\nArray2 datatype...\n",c2.dtype)
Check the Dimensions of both the arrays −
print("\nDimensions of Array1...\n",c1.ndim) print("\nDimensions of Array2...\n",c2.ndim)
Check the Shape of both the arrays −
print("\nShape of Array1...\n",c1.shape) print("\nShape of Array2...\n",c2.shape)
To divide one Hermite_e series by another, use the polynomial.hermite.hermediv() method in Python Numpy −
print("\nResult (division)....\n",H.hermediv(c1, c2))
Example
import numpy as np from numpy.polynomial import hermite_e as H # Create 1-D arrays of Hermite_e series coefficients c1 = np.array([53., 30., 52., 7., 6.]) c2 = np.array([1, 2, 3]) # Display the arrays of coefficients print("Array1...\n",c1) print("\nArray2...\n",c2) # Display the datatype print("\nArray1 datatype...\n",c1.dtype) print("\nArray2 datatype...\n",c2.dtype) # Check the Dimensions of both the arrays print("\nDimensions of Array1...\n",c1.ndim) print("\nDimensions of Array2...\n",c2.ndim) # Check the Shape of both the arrays print("\nShape of Array1...\n",c1.shape) print("\nShape of Array2...\n",c2.shape) # To divide one Hermite_e series by another, use the polynomial.hermite.hermediv() method in Python Numpy print("\nResult (division)....\n",H.hermediv(c1, c2))
Output
Array1... [53. 30. 52. 7. 6.] Array2... [1 2 3] Array1 datatype... float64 Array2 datatype... int64 Dimensions of Array1... 1 Dimensions of Array2... 1 Shape of Array1... (5,) Shape of Array2... (3,) Result (division).... (array([8., 1., 2.]), array([31., -1.]))