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 = 32rad = 10radm = 0.35radii = 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, 0.05x = 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)) % 2plt.imshow(Z1, cmap="binary_r", interpolation='nearest', extent=extent, alpha=1) def neveropen(x, y): return (1 - x / 2 + x**5 + y**6) * np.exp(-(x**2 + y**2)) Z2 = neveropen(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:
