使用python matplotlib画折线图实例代码

import matplotlib.pyplot as plt
import numpy as np

x_axis_data = [1,2,3,4,5,6,7] #x
y_axis_data = [68,69,79,71,80,70,66] #y

plt.plot(x_axis_data, y_axis_data, 'b*--', alpha=0.5, linewidth=1, label='acc')#'bo-'表示蓝色实线，数据点实心原点标注
## plot中参数的含义分别是横轴值，纵轴值，线的形状（'s'方块,'o'实心圆点，'*'五角星   ...，颜色，透明度,线的宽度和标签 ，

plt.legend()  #显示上面的label
plt.xlabel('time') #x_label
plt.ylabel('number')#y_label
 
#plt.ylim(-1,1)#仅设置y轴坐标范围
plt.show()

for x, y in zip(x_axis_data, y_axis_data):
    plt.text(x, y+0.3, '%.00f' % y, ha='center', va='bottom', fontsize=7.5)#y_axis_data1加标签数据

import matplotlib.pyplot as plt
import numpy as np

x_axis_data = [1,2,3,4,5,6,7] #x
y_axis_data = [68,69,79,71,80,70,66] #y

for x, y in zip(x_axis_data, y_axis_data):
    plt.text(x, y+0.3, '%.00f' % y, ha='center', va='bottom', fontsize=7.5)#y_axis_data1加标签数据
    
plt.plot(x_axis_data, y_axis_data, 'b*--', alpha=0.5, linewidth=1, label='acc')#'bo-'表示蓝色实线，数据点实心原点标注
## plot中参数的含义分别是横轴值，纵轴值，线的形状（'s'方块,'o'实心圆点，'*'五角星   ...，颜色，透明度,线的宽度和标签 ，

plt.legend()  #显示上面的label
plt.xlabel('time') #x_label
plt.ylabel('number')#y_label
 
#plt.ylim(-1,1)#仅设置y轴坐标范围
plt.show()

import matplotlib.pyplot as plt
import numpy as np
 
#epoch,acc,loss,val_acc,val_loss
x_axis_data = [1,2,3,4,5,6,7]
y_axis_data1 = [68.72,69.17,69.26,69.63,69.35,70.3,66.8]
y_axis_data2 = [71,73,52,66,74,82,71]
y_axis_data3 = [82,83,82,76,84,92,81]

        
#画图 
plt.plot(x_axis_data, y_axis_data1, 'b*--', alpha=0.5, linewidth=1, label='acc')#'
plt.plot(x_axis_data, y_axis_data2, 'rs--', alpha=0.5, linewidth=1, label='acc')
plt.plot(x_axis_data, y_axis_data3, 'Go--', alpha=0.5, linewidth=1, label='acc')

 
plt.legend()  #显示上面的label
plt.xlabel('time')
plt.ylabel('number')#accuracy
 
#plt.ylim(-1,1)#仅设置y轴坐标范围
plt.show()

import matplotlib.pyplot as plt
import numpy as np
 
#epoch,acc,loss,val_acc,val_loss
x_axis_data = [1,2,3,4,5,6,7]
y_axis_data1 = [68.72,69.17,69.26,69.63,69.35,70.3,66.8]
y_axis_data2 = [71,73,52,66,74,82,71]
y_axis_data3 = [82,83,82,76,84,92,81]
        
#画图 
plt.plot(x_axis_data, y_axis_data1, 'b*--', alpha=0.5, linewidth=1, label='acc')#'
plt.plot(x_axis_data, y_axis_data2, 'rs--', alpha=0.5, linewidth=1, label='acc')
plt.plot(x_axis_data, y_axis_data3, 'go--', alpha=0.5, linewidth=1, label='acc')

## 设置数据标签位置及大小
for a, b in zip(x_axis_data, y_axis_data1):
    plt.text(a, b, str(b), ha='center', va='bottom', fontsize=8)  #  ha='center', va='top'
for a, b1 in zip(x_axis_data, y_axis_data2):
    plt.text(a, b1, str(b1), ha='center', va='bottom', fontsize=8)  
for a, b2 in zip(x_axis_data, y_axis_data3):
    plt.text(a, b2, str(b2), ha='center', va='bottom', fontsize=8)
plt.legend()  #显示上面的label

plt.xlabel('time')
plt.ylabel('number')#accuracy
 
#plt.ylim(-1,1)#仅设置y轴坐标范围
plt.show()