In this article, we are going to see how to multiply a Hermite series by an independent variable in Python Using NumPy.
The NumPy method numpy.polynomial.hermite.hermmulx() is used to Multiply a Hermite series by x(independent variable) to get a new one. Let’s understand the syntax to know more about the method. The Hermite series c is multiplied by x, where x is the independent variable.
Syntax: numpy.polynomial.hermite.hermmulx(c)
parameters:
- c : array like object.The coefficients of the Hermite series are arranged in a 1-D array from low to high.
Return: out: array like object.The result of the multiplication is represented by an array.
Example 1:
In this example, we created an array of complex numbers which represents coefficients using the np.array() method. The shape of the array is defined by the .shape attribute and the dimension of the array is defined by .ndim, the datatype of the array is returned by .dtype attribute. The numpy.polynomial.hermite.hermmulx(c) is the method used to multiply the Hermite series by an individual variable.
Python3
# import packageimport numpy as np# Creating an array of coefficientsarray = np.array([11, 12, 13])print(array)# shape of the array isprint("Shape of the array is : ", array.shape)# dimension of the arrayprint("The dimension of the array is : ", array.ndim)# Datatype of the arrayprint("Datatype of our Array is : ", array.dtype)# new arrayprint("new array: ", np.polynomial.hermite.hermmulx(array)) |
Output:
[11 12 13] Shape of the array is : (3,) The dimension of the array is : 1 Datatype of our Array is : int64 new array: [12. 31.5 6. 6.5]
