Python 中的 Matplotlib.pyplot.copper()
原文:https://www . geeksforgeeks . org/matplotlib-py plot-python 中的铜/
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.copper()函数
matplotlib 库 pyplot 模块中的 copper()函数用于将 colormap 设置为“copper”。
语法: matplotlib.pyplot.copper()
以下示例说明了 matplotlib.pyplot.copper()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, 1.2 * 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.copper()
plt.title('matplotlib.pyplot.copper() 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.copper()
plt.title('matplotlib.pyplot.copper() function Example',
fontweight ="bold")
plt.show()
输出:
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