Python——使用matplotlib绘制各种柱状图

Python——使用matplotlib绘制柱状图

转载自：https://blog.csdn.net/qq_29721419/article/details/71638912

1、基本柱状图

          首先要安装matplotlib（http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.plot） 可以使用pip命令直接安装

   
   
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt

num_list = [ 1.5, 0.6, 7.8, 6]
plt.bar(range(len(num_list)), num_list)
plt.show()
   
   

2、设置颜色

          

    
    
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt

num_list = [ 1.5, 0.6, 7.8, 6]
plt.bar(range(len(num_list)), num_list,fc= ‘r’)
plt.show()
    
    

    
    
# -*- coding: utf -8 -*-
import matplotlib.pyplot as plt

num_list = [ 1.5, 0.6, 7.8, 6]
plt.bar(range(len(num_list)), num_list,color= ‘rgb’)
plt.show()
    
    

3、设置标签

    
    
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt

name_list = [ ‘Monday’, ‘Tuesday’, ‘Friday’, ‘Sunday’]
num_list = [ 1.5, 0.6, 7.8, 6]
plt.bar(range(len(num_list)), num_list,color= ‘rgb’,tick_label=name_list)
plt.show()
    
    

4、堆叠柱状图

     
     
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt

name_list = [ ‘Monday’, ‘Tuesday’, ‘Friday’, ‘Sunday’]
num_list = [ 1.5, 0.6, 7.8, 6]
num_list1 = [ 1, 2, 3, 1]
plt.bar(range(len(num_list)), num_list, label= ‘boy’,fc = ‘y’)
plt.bar(range(len(num_list)), num_list1, bottom=num_list, label= ‘girl’,tick_label = name_list,fc = ‘r’)
plt.legend()
plt.show()
     
     

5、并列柱状图

     
     
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt

name_list = [ ‘Monday’, ‘Tuesday’, ‘Friday’, ‘Sunday’]
num_list = [ 1.5, 0.6, 7.8, 6]
num_list1 = [ 1, 2, 3, 1]
x =list(range(len(num_list)))
total_width, n = 0.8, 2
width = total_width / n

plt.bar(x, num_list, width=width, label= ‘boy’,fc = ‘y’)
for i in range(len(x)):
x[i] = x[i] + width
plt.bar(x, num_list1, width=width, label= ‘girl’,tick_label = name_list,fc = ‘r’)
plt.legend()
plt.show()
     
     

6、条形柱状图

     
     
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt

name_list = [ ‘Monday’, ‘Tuesday’, ‘Friday’, ‘Sunday’]
num_list = [ 1.5, 0.6, 7.8, 6]
plt.barh(range(len(num_list)), num_list,tick_label = name_list)
plt.show()