matplotlib.pyplot.prism() in Python

0 0 1 minute read

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.

matplotlib.pyplot.prism() Function:

The prism() function in pyplot module of matplotlib library is used to set the colormap to “prism”.

Syntax:
matplotlib.pyplot.prism()
Parameters: This method does not accepts any parameter.

Returns: This method does not return any value.

Below examples illustrate the matplotlib.pyplot.prism() function in matplotlib.pyplot:

Example #1:

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import matplotlib.tri as tri 
import numpy as np 
     
     
ang = 40
rad = 10
radm = 0.35
radii = np.linspace(radm, 0.95, rad) 
     
angles = np.linspace(0, 4 * np.pi, ang) 
angles = np.repeat(angles[..., np.newaxis], rad, axis = 1) 
angles[:, 1::2] += np.pi / ang 
     
x = (radii * np.cos(angles)).flatten() 
y = (radii * np.sin(angles)).flatten() 
z = (np.sin(4 * radii) * np.cos(4 * angles)).flatten() 
     
triang = tri.Triangulation(x, y) 
triang.set_mask(np.hypot(x[triang.triangles].mean(axis = 1), 
                         y[triang.triangles].mean(axis = 1)) 
                        < radm) 
     
tpc = plt.tripcolor(triang, z, shading ='flat') 
plt.colorbar(tpc) 
plt.prism() 
plt.title('matplotlib.pyplot.prism() function Example', 
                                   fontweight ="bold") 
plt.show() 

Output:

Example #2:

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
from matplotlib.colors import LogNorm 
        
dx, dy = 0.015, 0.05
x = np.arange(-4.0, 4.0, dx) 
y = np.arange(-4.0, 4.0, dy) 
X, Y = np.meshgrid(x, y) 
     
extent = np.min(x), np.max(x), np.min(y), np.max(y) 
      
    
Z1 = np.add.outer(range(8), range(8)) % 2
plt.imshow(Z1, cmap ="binary_r", interpolation ='nearest', 
                             extent = extent, alpha = 1) 
     
def zambiatek(x, y): 
    return (1 - x / 2 + x**5 + y**6) * np.exp(-(x**2 + y**2)) 
     
Z2 = zambiatek(X, Y) 
     
plt.imshow(Z2, alpha = 0.7, interpolation ='bilinear', 
                                    extent = extent) 
plt.prism() 
plt.title('matplotlib.pyplot.prism() function Example',  
                                  fontweight ="bold") 
plt.show() 