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Matplotlib.pyplot.cool()用 Python

表示

哎哎哎:# t0]https://www.geeksforgeeks.org/matplot lib-pyplot-cool-in-python/

Matplotlib 是 Python 中的一个库,是 NumPy 库的数值-数学扩展。 Pyplot 是一个基于状态的接口到 Matplotlib 模块,它提供了一个类似于 MATLAB 的接口。

matplotlib.pyplot.cool()函数

matplotlib 库 pyplot 模块中的 cool()功能用于将 colormap 设置为“cool”。

语法: matplotlib.pyplot.cool()

下面的例子说明了 matplotlib.pyplot.cool()函数在 matplotlib.pyplot 中的作用:

示例#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()

输出:

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

输出:



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