import matplotlib.pyplot as plt
plt.rcParams["font.sans-serif"] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
# 绘制水平条状图
index = np.arange(5)
values1 = np.random.randint(10, 17, 5)
values2 = np.random.randint(10, 17, 5)
values3 = np.random.randint(10, 17, 5)
# 绘制条状图
bar_height = 0.3
plt.barh(index, values1, height=0.3, label='社保项目1', color='r')
plt.barh(index+bar_height, values2, height=0.3, label='社保项目2', color='b')
plt.barh(index+bar_height*2, values3, height=0.3, label='社保项目2', color='y')
# y轴标签
plt.yticks(index + bar_height, list('ABCDE'))
# 显示数值标签
for a, b in zip(values1, index):
    plt.text(a, b, '%.0f' % a, ha='left', va= 'center', fontsize=7)
for a, b in zip(values2, index):
    plt.text(a, b+bar_height, '%.0f' % a, ha='left', va= 'center', fontsize=7)
for a, b in zip(values3, index):
    plt.text(a, b+bar_height*2, '%.0f' % a, ha='left', va= 'center', fontsize=7)
# 设置标题
plt.title('社保项目营收', fontsize=20)
plt.xlabel('项目类型')
plt.ylabel('项目合同额（亿元）')
plt.axis([0, 20, -0.4, 5])
plt.legend(loc=4)
plt.show()

from pandas import Series, DataFrame
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams["font.sans-serif"] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
%matplotlib inline
# 设置图像大小
plt.figure(figsize=(9,9))
# 设置标签
labels = ['Java开发', '项目经理', '测试运维人员', 'Python开发', '架构师']
# 标签对应的值
values = [6000, 1000, 2000, 7000, 500]
# 每一个标签饼图的颜色
colors = ['red', '#FEDD62', 'blue', 'gray', 'green']
# 那一块内容需要脱离饼图凸显, 可选值0-1
explode = [0.1, 0.1, 0, 0, 0]
# autopct='%1.1f%%'表示显示百分比
# shadow显示阴影
# startangle 正值表示逆时针旋转
plt.pie(values, 
      labels=labels, 
      colors=colors, 
      explode=explode, 
      startangle=90, 
      shadow=True, 
      autopct='%1.1f%%')
# 设置为标准圆形
plt.axis('equal')
# 显示图例
plt.legend(loc=2)
plt.title('东软软件工程师人员职位占比')
plt.show()