Matplotlib histogram of Matplotlib visualization plt bar（）

#  Prepare the data 
xiaoming_score = [80,75,65,58,75,80,90]  # Xiao Ming's achievements in various subjects 
xiaohong_score =[90,85,75,62,75,60,80]   # Xiao Hong's grades in all subjects 
subjects = [' Chinese language and literature ',' English ',' mathematics ',' Physics ',' chemical ',' biological ',' sports '] 

Argument parsing ：

plt.bar(x = np.arange(7),        #  Abscissa 
        height = xiaoming_score, #  Columnar height 
        width = 0.35,            #  Columnar width 
        label = ' Xiao Ming ',          #  label 
        edgecolor = 'k',         #  Border color 
        color = 'r',             #  Histogram color 
        tick_label = subjects,   #  Coordinate labels for each bar graph 
        linewidth= 3)            #  Bar chart border width 
plt.legend() # Show labels 
plt.show()

Cluster bar chart ： Drawing by controlling horizontal axis coordinates

#  mapping 
plt.figure(figsize = (10,7))
plt.bar(x = np.arange(7),height = xiaoming_score,width = 0.35,label = ' Xiao Ming ',edgecolor = 'white',color = 'r',tick_label = subjects)
plt.bar(x = np.arange(7)+0.35,height = xiaohong_score,width = 0.35,label = ' Xiaohong ')
 
#  Supplementary title and label 
plt.title(' Xiao Ming 、 Comparison of Xiaohong's achievements in various subjects ') #  Title of figure 
plt.xlabel(' subject ',fontsize = 15)   #  Horizontal axis label 
plt.ylabel(' achievement ',fontsize = 15)  #  Vertical label 
plt.xticks(np.arange(7)+0.17,subjects,fontsize = 12)  #  Bar chart horizontal axis coordinates each category label 
plt.legend()  #  Show labels for two sets of histograms 
 
#  Note the values of each bar chart , Here is the score 
for i in range(len(subjects)):
    plt.text(x = i-0.1, y = xiaoming_score[i]+1,s = xiaoming_score[i] ) # s Indicates the content of the comment 
for i in range(len(subjects)):
    plt.text(x = i+0.3, y = xiaohong_score[i]+1,s = xiaoming_score[i] )
#  Display images 
plt.show()

#  mapping 
plt.bar(x = subjects, height = xiaoming_score, label = ' Xiao Ming ', color = 'steelblue', alpha = 0.8, width = 0.35)
plt.bar(x = subjects, height = xiaohong_score, label = ' Xiaohong ', color = 'indianred', alpha = 0.8, width = 0.35, bottom=xiaoming_score)
 
#  Supplementary title and label 
plt.title(' Xiao Ming 、 Comparison of Xiaohong's achievements in various subjects ') #  Title of figure 
plt.xlabel(' subject ',fontsize = 15)   #  Horizontal axis label 
plt.ylabel(' achievement ',fontsize = 15)  #  Vertical label 
plt.xticks(np.arange(7),subjects,fontsize = 12)  #  Bar chart horizontal axis coordinates each category label 
plt.legend()  #  Show labels for two sets of histograms 
 
#  Note the values of each bar chart , Here is the score 
for i in range(len(subjects)):
    plt.text(x = i-0.1, y = xiaoming_score[i]-30,s = xiaoming_score[i] )
for i in range(len(subjects)):
    plt.text(x = i-0.1, y = xiaohong_score[i]+30,s = xiaoming_score[i] )
 
plt.show()