matplotlib.pyplot.winter() in Python

Last Updated : 22 Apr, 2020

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.winter() Function:

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

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

Returns: This method does not return any value.

Below examples illustrate the matplotlib.pyplot.winter() 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 = 32
rad = 10
radm = 0.35
radii = np.linspace(radm, 0.95, rad) 
     
angles = np.linspace(0, 1.4*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.winter() 
plt.title('matplotlib.pyplot.winter() 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(-2.0,2.0, dx) 
y = np.arange(-2.0, 2.0, 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(4), range(4)) % 2
plt.imshow(Z1, cmap="binary_r", interpolation='nearest', 
                 extent=extent, alpha=1) 
     
def geeks(x, y): 
    return (1 - x / 2 + x**5 + y**6) * np.exp(-(x**2 + y**2)) 
     
Z2 = geeks(X, Y) 
     
plt.imshow(Z2, alpha=0.7, interpolation='bilinear', 
                                     extent=extent) 
plt.winter() 
plt.title('matplotlib.pyplot.winter() function Example'
                                     ,fontweight="bold") 
plt.show() 

Output:

Matplotlib.pyplot.title() in Python

SHUBHAMSINGH10

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matplotlib.pyplot.winter() in Python

matplotlib.pyplot.winter() Function:

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