In [1]:
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
x = np.linspace(-5, 5, 100)
y = np.linspace(-5, 5, 100)
X, Y = np.meshgrid(x, y)
Z = np.sin(np.sqrt(X**2 + Y**2))
In [2]:
# plot_surface
fig = plt.figure()
ax = fig.add_subplot(111, projection=''''3d'''')
ax.plot_surface(X, Y, Z, cmap=''''viridis'''')
ax.set_xlabel(''''X axis'''')
ax.set_ylabel(''''Y axis'''')
ax.set_zlabel(''''Z axis'''')
plt.show()
In [3]:
# 3D scatter
x = np.random.standard_normal(100)
y = np.random.standard_normal(100)
z = np.random.standard_normal(100)
fig = plt.figure()
ax = fig.add_subplot(111, projection=''''3d'''')
ax.scatter(x, y, z, c=''''r'''', marker=''''o'''')
plt.show()
In [4]:
# 3D plot_wireframe
fig = plt.figure()
ax = fig.add_subplot(111, projection=''''3d'''')
ax.plot_wireframe(X, Y, Z, color=''''gray'''')
plt.show()
In [5]:
# 3D contour plot
fig = plt.figure()
ax = fig.add_subplot(111, projection=''''3d'''')
ax.contour3D(X, Y, Z, 50, cmap=''''binary'''')
plt.show()
In [6]:
import seaborn as sns
data = sns.load_dataset("mpg")
#print(data.head())
X=data[''''horsepower'''']
Y=data[''''weight'''']
Z=data[''''mpg'''']
fig = plt.figure()
ax = fig.add_subplot(111, projection=''''3d'''')
ax.scatter(X, Y, Z, c=''''b'''', marker=''''o'''')
ax.set_xlabel(''''horsepower'''')
ax.set_ylabel(''''weight'''')
ax.set_zlabel(''''mpg'''')
plt.show()
