3D Plot Game

#3D Graph Plot
#importing the mplot3d toolkit, included with the main Matplotlib installation
from mpl_toolkits import mplot3d

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

# a three-dimensional axes can be created by passing the 
#keyword projection='3d' to any of the normal axes creation routines
fig = plt.figure()
ax = plt.axes(projection='3d')

#3D Points and lines
from mpl_toolkits import mplot3d

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

ax = plt.axes(projection='3d')

# Data for a three-dimensional line
zline = np.linspace(0, 15, 1000)
xline = np.sin(zline)
yline = np.cos(zline)
ax.plot3D(xline, yline, zline, 'gray')

# Data for three-dimensional scattered points
zdata = 15 * np.random.random(100)
xdata = np.sin(zdata) + 0.1 * np.random.randn(100)
ydata = np.cos(zdata) + 0.1 * np.random.randn(100)
ax.scatter3D(xdata, ydata, zdata, c=zdata, cmap='Greens');

#3D Contour Plots
from mpl_toolkits import mplot3d

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

def f(x, y):
    return np.sin(np.sqrt(x ** 2 + y ** 2))

x = np.linspace(-6, 6, 30)
y = np.linspace(-6, 6, 30)

X, Y = np.meshgrid(x, y)
Z = f(X, Y)

fig = plt.figure()
ax = plt.axes(projection='3d')
ax.contour3D(X, Y, Z, 50, cmap='binary')
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z')

#Surface Triangulation
from mpl_toolkits import mplot3d

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

theta = 2 * np.pi * np.random.random(1000)
r = 6 * np.random.random(1000)
x = np.ravel(r * np.sin(theta))
y = np.ravel(r * np.cos(theta))
z = f(x,y)

ax = plt.axes(projection='3d')
ax.scatter(x, y, z, c=z, cmap='viridis', linewidth=0.5);