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# Remove small trailing coefficients from Hermite polynomial in Python

To remove small trailing coefficients from Hermite polynomial, use the hermite.hermtrim() method in Python Numpy. The method returns a 1-d array with trailing zeros removed. If the resulting series would be empty, a series containing a single zero is returned.

The “Small” means “small in absolute value” and is controlled by the parameter tol; “trailing” means highest order coefficient(s), e.g., in [0, 1, 1, 0, 0] (which represents 0 + x + x**2 + 0*x**3 + 0*x**4) both the 3-rd and 4-th order coefficients would be “trimmed.” The parameter c is a 1-d array of coefficients, ordered from lowest order to highest. The parameter tol is Trailing elements with absolute value less than or equal to tol are removed.

## Steps

At first, import the required library −

import numpy as np from numpy.polynomial import hermite as H

Create an array using the numpy.array() method. This is the 1-d array of coefficients −

c = np.array([0,5,0, 0,9,0])

Display the array −

print("Our Array...\n",c)

Check the Dimensions −

print("\nDimensions of our Array...\n",c.ndim)

Get the Datatype −

print("\nDatatype of our Array object...\n",c.dtype)

Get the Shape −

print("\nShape of our Array object...\n",c.shape)

To remove small trailing coefficients from Hermite polynomial, use the hermite.hermtrim() method in Python Numpy −

print("\nResult...\n",H.hermtrim((c)))

## Example

import numpy as np from numpy.polynomial import hermite as H # Create an array using the numpy.array() method # This is the 1-d array of coefficients c = np.array([0,5,0, 0,9,0]) # Display the array print("Our Array...\n",c) # Check the Dimensions print("\nDimensions of our Array...\n",c.ndim) # Get the Datatype print("\nDatatype of our Array object...\n",c.dtype) # Get the Shape print("\nShape of our Array object...\n",c.shape) # To remove small trailing coefficients from Hermite polynomial, use the hermite.hermtrim() method in Python Numpy. print("\nResult...\n",H.hermtrim((c)))

## Output

Our Array... [0 5 0 0 9 0] Dimensions of our Array... 1 Datatype of our Array object... int64 Shape of our Array object... (6,) Result... [0. 5. 0. 0. 9.]

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