Matplotlib.pyplot.flag()用 Python

表示

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

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

语法: matplotlib.pyplot.flag()

下面的例子说明了 matplotlib.pyplot.flag()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, 0.5 * 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.flag()
plt.title('matplotlib.pyplot.flag() function Example\n\n',
          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.set_cmap("gist_rainbow")
plt.flag()
plt.title('matplotlib.pyplot.flag() function Example\n\n',
          fontweight ="bold")
plt.show()

输出: