Python College Entrance Examination | matplotlib draws the distribution chart of the number of college entrance examination students and admission rates from 1977 to 2022

##This issue is based on 1977-2022 previous college entrance examination number and number of admissions, Use python's matplotlib library to draw the corresponding distribution bar chart, I hope it will be helpful to everyone, If you have any questions or If you need improvement, please contact the editor.

#1. Data

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df = pd.read_excel('1977-2022历届高考录取率.xlsx')

2. 绘图

2.1 绘制表头

ax.text(270, tit_pos, '年份', ha='center', va='bottom', fontsize=12, fontweight='heavy',color='#00695C')
ax.text(1100, tit_pos, '高考人数', ha='center', va='bottom', fontsize=12, fontweight='heavy',color='#00695C')
ax.text(2700, tit_pos, '录取人数', ha='center', va='bottom', fontsize=12, fontweight='heavy',color='#00695C')
ax.text(3700, tit_pos, '录取率', ha='center', va='bottom', fontsize=12, fontweight='heavy',color='#00695C')

2.2 绘制报考分数、录取人数条形图

years = df['年份'].values.tolist()
x = df['报考人数(人)'].values.tolist()
y = df['高校录取人数(人)'].values.tolist()
z = df['录取比例'].values.tolist()
ax.barh(years, x, left=550,tick_label=labels, height=0.5)
ax.barh(years, y, left=2200,tick_label=labels, height=0.5)

2.3 绘制录取率散点图

ax.scatter([3700]*len(z), years)

2.4 设置标题

ax.text(600, 50, '1977-2022年历届高考人数及录取率', fontdict={'color': '#880E4F', 'size': 20}, fontweight='heavy')
ax.text(1250, 49, '（-- 制图@公众号：Python当打之年 --）', fontsize = 9, fontweight='heavy',alpha=1)

效果如下：

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