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Matplotlib.pyplot.hot()用 Python

表示

哎哎哎:# t0]https://www.geeksforgeeks.org/matplot lib-pyplot-hot-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.hot()函数

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

matplotlib.pyplot.hot()

下面的例子说明了 matplotlib.pyplot.hot()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, 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.hot()

plt.title('matplotlib.pyplot.hot() 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(-3.0, 3.0, dx)
y = np.arange(-3.0, 3.0, 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(6), range(6)) % 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.hot()

plt.title('matplotlib.pyplot.hot() function\
Example', fontweight ="bold")

plt.show()

输出:



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