import matplotlib.pyplot as plt
import numpy as np
 
data1 = np.loadtxt('/data_1/SSD/caffe/tools/extra/DSOD300_VOC0712_DSOD300_300x300.log.test')
data2 = np.loadtxt('/data_1/SSD/caffe/tools/extra/DSOD300_VOC0712_DSOD300_300x300.log.train')
 
plt.title('Result Analysis')
 
plt.plot(data1[:,0], data1[:,2], color='skyblue', label='y1')
plt.plot(data2[:,0], data2[:,3], color='blue', label='y2')
plt.legend()
 
plt.xlabel('x')
plt.ylabel('y')
plt.show()

import matplotlib.pyplot as plt
import numpy as np
 
data1 = np.loadtxt('/data_1/project_test/teest1.txt')
data2 = np.loadtxt('/data_1/project_test/teest2.txt')
data3 = np.loadtxt('/data_1/project_test/teest3.txt')
 
plt.title('Result Analysis')
 
plt.plot(data1[:,0], data1[:,1], color='skyblue', label='y1',ls='-.')#ls或linestyle
plt.plot(data2[:,0], data2[:,1], color='green', label='y2',ls=':')
plt.plot(data3[:,0], data3[:,1], color='red', label='y3',ls='steps')
plt.legend()
 
plt.xlabel('x')
plt.ylabel('y')
plt.show()

import matplotlib.pyplot as plt
import numpy as np
 
data1 = np.loadtxt('/data_1/project_test/teest1.txt')
data2 = np.loadtxt('/data_1/project_test/teest2.txt')
data3 = np.loadtxt('/data_1/project_test/teest3.txt')
 
plt.title('Result Analysis')
 
plt.plot(data1[:,0], data1[:,1], color='skyblue', label='y1',ls='-.',marker='*')
plt.plot(data2[:,0], data2[:,1], color='green', label='y2',ls=':',marker='+')
plt.plot(data3[:,0], data3[:,1], color='red', label='y3',ls='steps',marker='D')
plt.legend()
 
plt.xlabel('x')
plt.ylabel('y')
plt.show()

from mpl_toolkits.axisartist.axislines import SubplotZero
import matplotlib.pyplot as plt
import numpy as np
 
fig = plt.figure(1)
ax = SubplotZero(fig, 111)
fig.add_subplot(ax)
 
for direction in ["xzero", "yzero"]:
  # adds arrows at the ends of each axis
  ax.axis[direction].set_axisline_style("-|>")
 
  # adds X and Y-axis from the origin
  ax.axis[direction].set_visible(True)
 
for direction in ["left", "right", "bottom", "top"]:
  # hides borders
  ax.axis[direction].set_visible(False)
  
plt.text(-2, 2, r"y=kx+b",
     horizontalalignment='center', fontsize=20)  
  
x = np.linspace(-2,2,100)  
   
k=-1
b=0  
  
y = k*x + b
 
ax.plot(x, y)
plt.show()

import matplotlib.pyplot as plt
from matplotlib import cm
import numpy as np
 
fig = plt.figure()
ax = fig.gca(projection='3d')
 
# Make data.
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
X, Y = np.meshgrid(X, Y)
a1 = 2
a2 = 1
Z = a1*X+a2*Y
 
# Plot the surface.
surf = ax.plot_surface(X, Y, Z, cmap=cm.Blues,
            linewidth=0, antialiased=False)
 
ax.set_xlabel(r'$x_1$',fontsize = 20, color = 'blue')
ax.set_ylabel(r'$x_2$',fontsize = 20, color = 'blue')
ax.set_zlabel(r'$x_3$',fontsize = 20, color = 'blue')