subplot(1,2,1) contour(x,y,z)
时间: 2024-05-25 16:13:27 浏览: 118
这段代码的作用是在一个图形窗口中创建一个1行2列的子图,并在第1个子图中绘制一个等高线图。其中,x、y和z分别表示等高线图中的x坐标、y坐标和z值。
具体而言,subplot(1,2,1)表示将图形窗口划分为1行2列的子图,并选中第1个子图;contour(x,y,z)表示在选中的子图中绘制等高线图,其中x、y、z分别表示等高线图中每个点的横坐标、纵坐标和高度值。等高线图通常用于表示三维数据的等值线,其中高度值相同的点会被绘制成同一个等高线。
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import numpy as np from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt def eq1(x, y, z): return ((x**2 + y**2 - 1) * (x**2 + (x**3/3 - y**2/2)**2 - 1) * (y**2 + (x**3/3 - y**2/2)**2 - 1) - 1) def eq2(x, y, z): return ((x**2 + y**2 - 1) * (x**2 + z**2 - 1) * (y**2 + z**2 - 1) - 1) def eq3(x, y, z): return (x**3/3 - y**2/2 - z) x = np.linspace(-2, 2, 100) y = np.linspace(-2, 2, 100) z = np.linspace(-2, 2, 100) X, Y, Z = np.meshgrid(x, y, z) F1 = eq1(X, Y, Z) F2 = eq2(X, Y, Z) G = eq3(X, Y, Z) fig = plt.figure(figsize=(12, 8)) ax = fig.add_subplot(111, projection='3d') ax.contour(X, Y, F1, levels=[0], colors='blue') ax.contour(X, Z, F2, levels=[0], colors='green') ax.contour(Y, Z, G, levels=[0], colors='red') ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_zlabel('Z') ax.set_title('Three Surfaces in Space') plt.show()修改一下这段代码
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
def eq1(x, y, z):
return ((x**2 + y**2 - 1) * (x**2 + (x**3/3 - y**2/2)**2 - 1) * (y**2 + (x**3/3 - y**2/2)**2 - 1) - 1)
def eq2(x, y, z):
return ((x**2 + y**2 - 1) * (x**2 + z**2 - 1) * (y**2 + z**2 - 1) - 1)
def eq3(x, y, z):
return (x**3/3 - y**2/2 - z)
x = np.linspace(-2, 2, 100)
y = np.linspace(-2, 2, 100)
z = np.linspace(-2, 2, 100)
X, Y, Z = np.meshgrid(x, y, z)
F1 = eq1(X, Y, Z)
F2 = eq2(X, Y, Z)
G = eq3(X, Y, Z)
fig = plt.figure(figsize=(12, 8))
ax = fig.add_subplot(111, projection='3d')
ax.contour(X, Y, F1, levels=[0], colors='blue')
ax.contour(X, Z, F2, levels=[0], colors='green')
ax.contour(Y, Z, G, levels=[0], colors='red')
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
ax.set_title('Three Surfaces in Space')
plt.show()
import numpy as np from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt # Define the equations def eq1(x, y, z): return (x**2 + y**2 - 1) * (x**2 + (x/3 - y/2)**2 - 1) * (y**2 + (x/3 - y/2)**2 - 1) - 1 def eq2(x, y, z): return (x**2 + y**2 - 1) * (x**2 + z**2 - 1) * (y**2 + z**2 - 1) - 1 def eq3(x, y, z): return x/3 - y/2 - z # Generate data x = np.linspace(-2, 2, 100) y = np.linspace(-2, 2, 100) z = np.linspace(-2, 2, 100) X, Y, Z = np.meshgrid(x, y, z) F1 = eq1(X, Y, Z) F2 = eq2(X, Y, Z) G = eq3(X, Y, Z) # Create figure and axes fig = plt.figure(figsize=(12, 8)) ax = fig.add_subplot(111, projection='3d') # Plot the surfaces ax.contour(X, Y, F1, levels=[0], colors='blue') ax.contour(X, Z, F2, levels=[0], colors='green') ax.contour(X, Y, G, levels=[0], colors='red') # Set axis labels and title ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_zlabel('Z') ax.set_title('Three Surfaces in Space') # Show the plot plt.show()修改一下这段代码
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
# Define the equations
def eq1(x, y, z):
return (x**2 + y**2 - 1) * (x**2 + (x/3 - y/2)**2 - 1) * (y**2 + (x/3 - y/2)**2 - 1) - 1
def eq2(x, y, z):
return (x**2 + y**2 - 1) * (x**2 + z**2 - 1) * (y**2 + z**2 - 1) - 1
def eq3(x, y, z):
return x/3 - y/2 - z
# Generate data
x = np.linspace(-2, 2, 100)
y = np.linspace(-2, 2, 100)
z = np.linspace(-2, 2, 100)
X, Y, Z = np.meshgrid(x, y, z)
F1 = eq1(X, Y, Z)
F2 = eq2(X, Y, Z)
G = eq3(X, Y, Z)
# Create figure and axes
fig = plt.figure(figsize=(12, 8))
ax = fig.add_subplot(111, projection='3d')
# Plot the surfaces
ax.contour(X, Y, F1, levels=[0], colors='blue')
ax.contour(X, Z, F2, levels=[0], colors='green')
ax.contour(Y, Z, G, levels=[0], colors='red')
# Set axis labels and title
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
ax.set_title('Three Surfaces in Space')
# Show the plot
plt.show()
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