Python Matplotlib实现三维数据的散点图绘制

"""
=======================
Plot 2D data on 3D plot
=======================

Demonstrates using ax.plot's zdir keyword to plot 2D data on
selective axes of a 3D plot.
"""

from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.gca(projection='3d')

# Plot a sin curve using the x and y axes.
x = np.linspace(0, 1, 100)
y = np.sin(x * 2 * np.pi) / 2 + 0.5
ax.plot(x, y, zs=0, zdir='z', label='curve in (x,y)')

# Plot scatterplot data (20 2D points per colour) on the x and z axes.
colors = ('r', 'g', 'b', 'k')
x = np.random.sample(20*len(colors))
y = np.random.sample(20*len(colors))
c_list = []
for c in colors:
 c_list.append([c]*20)
# By using zdir='y', the y value of these points is fixed to the zs value 0
# and the (x,y) points are plotted on the x and z axes.
ax.scatter(x, y, zs=0, zdir='y', c=c_list, label='points in (x,z)')

# Make legend, set axes limits and labels
ax.legend()
ax.set_xlim(0, 1)
ax.set_ylim(0, 1)
ax.set_zlim(0, 1)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

# Customize the view angle so it's easier to see that the scatter points lie
# on the plane y=0
ax.view_init(elev=20., azim=-35)

plt.show()

import scipy.io as sio
#get the data form F:\matlab.mat
data = sio.loadmat('F:\matlab.mat')
m = data['data']

for a in x:
 if a == 0.1:
  C.append('c')
 elif a == 0.2:
  C.append('r')
 elif a == 0.3:
  C.append('y')
 elif a == 0.4:
  C.append('k')
ax.scatter(x, y, z, c=C)

import scipy.io as sio
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

def Singleplot():
 data = sio.loadmat('F:\matlab.mat')
 m = data['data']

 x = m[0]
 y = m[1]
 z = m[2]

 C = []
 ax = plt.subplot(111, projection='3d')

 for a in x:
 if a == 0.1:
  C.append('c')
 elif a == 0.2:
  C.append('r')
 elif a == 0.3:
  C.append('y')
 elif a == 0.4:
  C.append('k')

 ax.scatter(x, y, z, c=C)

 ax.set_xlabel('Time')
 ax.set_ylabel('Frequence')
 ax.set_zlabel('Amplitude')

 plt.show()

singleplot()