Matplotlib是Python中的一个库，它是数字的-NumPy库的数学扩展。 Pyplot是Matplotlib模块的基于状态的接口，该模块提供了MATLAB-like接口。

matplotlib.pyplot.jet()功能：

matplotlib库的pyplot模块中的jet()函数用于将颜色映射设置为“jet”。

用法： matplotlib.pyplot.jet()

参数：此方法不接受任何参数。

返回：此方法不返回任何值。

以下示例说明了matplotlib.pyplot中的matplotlib.pyplot.jet()函数：

范例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.jet()

plt.title('matplotlib.pyplot.jet() function Example',

fontweight ="bold")

plt.show()

输出：

范例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.jet()

plt.title('matplotlib.pyplot.jet() function Example',

fontweight ="bold")

plt.show()

输出：