Financial Data Analysis XI Analysis of the changes in access to basic public health services by rural residents and urban residents in China over the past 25 years

Case (4) Analysis of macro-financial data

Project 2: Analysis of changes in access to basic public health services for rural versus urban residents in China over the past 25 years (chart output)

Using World Bank public data

# -*- coding: utf-8 -*-
"""
Created on Mon Sept 21 8:04:59 2020

@author: mly
"""
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
import pandas as pd
from matplotlib import ticker

plt.rcParams['font.sans-serif'] = ['SimHei']
mpl.rcParams["axes.unicode_minus"] = False

df = pd.read_csv('basicsanit_china2000to2017.csv')

y = df['rural_sanit']
y1 = df['urban_sanit']
y2 = df['peopl_sanit']
x = df['year']

plt.figure()
ax = plt.gca()
plt.grid(axis="y")
plt.title('农村居民与城市居民享受基本公共卫生服务的变化情况')
plt.ylabel('服务数值')
plt.xlabel('年份')
ax.plot(x, y, '-rp', lw = 1.5, label = 'rural_sanit')
ax.plot(x, y1, '-gp', lw = 1.5, label = 'rural_sanit')
ax.plot(x, y2, '-bp', lw = 1.5, label = 'peopl_sanit')
ax.legend(loc = 'upper right')

plt.show()

Results of the run.