# Divide one Hermite_e series by another in Python

PythonNumpyServer Side ProgrammingProgramming

<p>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.</p><p>Returns the quotient-with-remainder of two Hermite_e series c1 / c2. The arguments are sequences of coefficients from lowest order &ldquo;term&rdquo; 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.</p><h2>Steps</h2><p>At first, import the required library &minus;</p><pre class="prettyprint notranslate">import numpy as np from numpy.polynomial import hermite as H</pre><p>Create 1-D arrays of Hermite_e series coefficients &minus;</p><pre class="prettyprint notranslate">c1 = np.array([53., 30., 52., 7., 6.]) c2 = np.array([1, 2, 3])</pre><p>Display the arrays of coefficients &minus;</p><pre class="prettyprint notranslate">print(&quot;Array1... &quot;,c1) print(&quot; Array2... &quot;,c2)</pre><p>Display the datatype &minus;</p><pre class="prettyprint notranslate">print(&quot; Array1 datatype... &quot;,c1.dtype) print(&quot; Array2 datatype... &quot;,c2.dtype)</pre><p>Check the Dimensions of both the arrays &minus;</p><pre class="prettyprint notranslate">print(&quot; Dimensions of Array1... &quot;,c1.ndim) print(&quot; Dimensions of Array2... &quot;,c2.ndim)</pre><p>Check the Shape of both the arrays &minus;</p><pre class="prettyprint notranslate">print(&quot; Shape of Array1... &quot;,c1.shape) print(&quot; Shape of Array2... &quot;,c2.shape)</pre><p>To divide one Hermite_e series by another, use the polynomial.hermite.hermediv() method in Python Numpy &minus;</p><pre class="prettyprint notranslate">print(&quot; Result (division).... &quot;,H.hermediv(c1, c2))</pre><h2>Example</h2><pre class="demo-code notranslate language-numpy" data-lang="numpy">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(&quot;Array1... &quot;,c1) print(&quot; Array2... &quot;,c2) # Display the datatype print(&quot; Array1 datatype... &quot;,c1.dtype) print(&quot; Array2 datatype... &quot;,c2.dtype) # Check the Dimensions of both the arrays print(&quot; Dimensions of Array1... &quot;,c1.ndim) print(&quot; Dimensions of Array2... &quot;,c2.ndim) # Check the Shape of both the arrays print(&quot; Shape of Array1... &quot;,c1.shape) print(&quot; Shape of Array2... &quot;,c2.shape) # To divide one Hermite_e series by another, use the polynomial.hermite.hermediv() method in Python Numpy print(&quot; Result (division).... &quot;,H.hermediv(c1, c2))</pre><h2>Output</h2><pre class="result notranslate">Array1... &nbsp; &nbsp;[53. 30. 52. 7. 6.] Array2... &nbsp; &nbsp;[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.]))</pre>