matplotlib.pyplot.winter() in Python

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: