Python+Matplotlib实现绘制三维折线图

pip install matplotlib

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
 
mpl.rcParams['legend.fontsize'] = 10
 
fig = plt.figure()
ax = fig.add_subplot(projection='3d')
theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
z = np.linspace(-2, 2, 100)
r = z ** 2 + 1
x = r * np.sin(theta)
y = r * np.cos(theta)
ax.plot(x, y, z, label='parametric curve')
ax.legend()

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
 
 
def randrange(n, vmin, vmax):
    '''
    Helper function to make an array of random numbers having shape (n, )
    with each number distributed Uniform(vmin, vmax).
    '''
    return (vmax - vmin)*np.random.rand(n) + vmin
 
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
 
n = 100
 
# For each set of style and range settings, plot n random points in the box
# defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].
for c, m, zlow, zhigh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:
    xs = randrange(n, 23, 32)
    ys = randrange(n, 0, 100)
    zs = randrange(n, zlow, zhigh)
    ax.scatter(xs, ys, zs, c=c, marker=m)
 
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
 
plt.show()

from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
 
 
fig = plt.figure()
ax = fig.add_subplot(100, projection='3d')
 
# Grab some test data.
X, Y, Z = axes3d.get_test_data(0.12)
 
# Plot a basic wireframe.
ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
 
plt.show()

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
 
 
n_radii = 8
n_angles = 36
 
radii = np.linspace(0.125, 1.0, n_radii)
angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
 
angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
 
 
# points in the (x, y) plane.
x = np.append(0, (radii*np.cos(angles)).flatten())
y = np.append(0, (radii*np.sin(angles)).flatten())
 
 
z = np.sin(-x*y)
 
fig = plt.figure()
ax = fig.add_subplot(projection='3d')
 
ax.plot_trisurf(x, y, z, linewidth=0.2, antialiased=True)
 
plt.show()

import numpy as np
import matplotlib.pyplot as plt
#定义坐标轴
fig4 = plt.figure()
ax4 = plt.axes(projection='3d')
 
#生成三维数据
xx = np.random.random(20)*10-5   #取100个随机数，范围在5~5之间
yy = np.random.random(20)*10-5
X, Y = np.meshgrid(xx, yy)
Z = np.sin(np.sqrt(X**2+Y**2))
 
#作图
ax4.scatter(X,Y,Z,alpha=0.3,c=np.random.random(400),s=np.random.randint(10,20,size=(20, 20)))     #生成散点.利用c控制颜色序列,s控制大小
 
plt.show()