Matplotlib.pyplot.cool() in Python (original) (raw)

Last Updated : 21 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.cool() Function

The cool() function in pyplot module of matplotlib library is used to set the colormap to "cool".

Syntax: matplotlib.pyplot.cool()

Below examples illustrate the matplotlib.pyplot.cool() function in matplotlib.pyplot:Example #1:

Python3 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, 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.cool() plt.title('matplotlib.pyplot.cool() function Example', fontweight ="bold") plt.show()

`

Output: Example #2:

Python3 1== `

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 geeks(x, y): return (1 - x / 2 + x5 + y6) * np.exp(-(x2 + y2))

Z2 = geeks(X, Y)

plt.imshow(Z2, alpha = 0.7, interpolation ='bilinear', extent = extent) plt.cool() plt.title('matplotlib.pyplot.cool() function Example', fontweight ="bold") plt.show()

`

Output: