# Generate pseudo Vandermonde matrix of Chebyshev polynomial with float array of points coordinates in Python

PythonNumpyServer Side ProgrammingProgramming

<p>To generate a pseudo Vandermonde matrix of the Chebyshev polynomial, use the chebyshev.chebvander() in Python Numpy. The method returns the pseudo-Vandermonde matrix of degrees deg and sample points (x, y). The parameter x, y are the arrays of point coordinates, all of the same shape. The dtypes will be converted to either float64 or complex128 depending on whether any of the elements are complex. Scalars are converted to 1-D arrays. The parameter, deg is the list of maximum degrees of the form [x_deg, y_deg].</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 chebyshev as C</pre><p>Create arrays of point coordinates, all of the same shape using the numpy.array() method &minus;</p><pre class="prettyprint notranslate">x = np.array([0.1, 1.4]) y = np.array([1.7, 2.8])</pre><p>Display the arrays &minus;</p><pre class="prettyprint notranslate">print(&quot;Array1... &quot;,x) print(&quot; Array2... &quot;,y)</pre><p>Display the datatype &minus;</p><pre class="prettyprint notranslate">print(&quot; Array1 datatype... &quot;,x.dtype) print(&quot; Array2 datatype... &quot;,y.dtype)</pre><p>Check the Dimensions of both the arrays &minus;</p><pre class="prettyprint notranslate">print(&quot; Dimensions of Array1... &quot;,x.ndim) print(&quot; Dimensions of Array2... &quot;,y.ndim)</pre><p>Check the Shape of both the arrays &minus;</p><pre class="prettyprint notranslate">print(&quot; Shape of Array1... &quot;,x.shape) print(&quot; Shape of Array2... &quot;,y.shape)</pre><p>To generate a pseudo Vandermonde matrix of the Chebyshev polynomial, use the chebyshev.chebvander() in Python &minus;</p><pre class="prettyprint notranslate">x_deg, y_deg = 2, 3 print(&quot; Result... &quot;,C.chebvander2d(x,y, [x_deg, y_deg]))</pre><h2>Example</h2><pre class="demo-code notranslate language-numpy" data-lang="numpy">import numpy as np from numpy.polynomial import chebyshev as C # Create arrays of point coordinates, all of the same shape using the numpy.array() method x = np.array([0.1, 1.4]) y = np.array([1.7, 2.8]) # Display the arrays print(&quot;Array1... &quot;,x) print(&quot; Array2... &quot;,y) # Display the datatype print(&quot; Array1 datatype... &quot;,x.dtype) print(&quot; Array2 datatype... &quot;,y.dtype) # Check the Dimensions of both the arrays print(&quot; Dimensions of Array1... &quot;,x.ndim) print(&quot; Dimensions of Array2... &quot;,y.ndim) # Check the Shape of both the arrays print(&quot; Shape of Array1... &quot;,x.shape) print(&quot; Shape of Array2... &quot;,y.shape) # To generate a pseudo Vandermonde matrix of the Chebyshev polynomial, use the chebyshev.chebvander() in Python Numpy x_deg, y_deg = 2, 3 print(&quot; Result... &quot;,C.chebvander2d(x,y, [x_deg, y_deg]))</pre><h2>Output</h2><pre class="result notranslate">Array1... [0.1 1.4] Array2... [1.7 2.8] Array1 datatype... float64 Array2 datatype... float64 Dimensions of Array1... 1 Dimensions of Array2... 1 Shape of Array1... (2,) Shape of Array2... (2,) Result... [[ 1.0000000e+00 1.7000000e+00 4.7800000e+00 1.4552000e+01 1.0000000e-01 1.7000000e-01 4.7800000e-01 1.4552000e+00 -9.8000000e-01 -1.6660000e+00 -4.6844000e+00 -1.4260960e+01] [ 1.0000000e+00 2.8000000e+00 1.4680000e+01 7.9408000e+01 1.4000000e+00 3.9200000e+00 2.0552000e+01 1.1117120e+02 2.9200000e+00 8.1760000e+00 4.2865600e+01 2.3187136e+02]]</pre>