本文介绍如何使用?tushare?包来获取利率数据，并通过 matplotlib 绘制利率走势图。

%matplotlib notebook
import numpy as np
import pandas as pd
import tushare as ts
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib.ticker as mtick
def filter_dr(dr,dtype):
 """
 从利率的 dataframe 中获取指定类型的利率
 @dr: 利率数据
 @dtype: 利率类型，例如：'定期存款整存整取(一年)'
 """
 # 过滤出指定类型的利率数据
 result = dr.loc[ dr['deposit_type'] == dtype ]
 # 过滤无效数据
 result = result.loc[ result['rate'] != '--' ]
 # 丢弃类型数据,只保留时间和利率值
 result = result.drop(['deposit_type'],axis=1)
时间格式
result.date = pd.to_datetime(result.date)

result.rate = pd.to_numeric(result.rate,errors='coerce')
result.sort_values('date',inplace=True)
result.set_index(['date'],inplace = True)
return result

def plot_dr(dr,title):

"""

绘制利率图

@dr : 利率数据

@title : 图的标题

"""
drtypes = pd.unique(dr['deposit_type'])
drtypes = ['定期存款整存整取(一年)','定期存款整存整取(三年)','定期存款整存整取(五年)']

fig = plt.figure(figsize=(10,6))

ax = fig.add_subplot(1,1,1)
for drtype in drtypes:

result = filter_dr(dr,drtype)

ax.plot(result['date'],result['rate'],label=drtype)

fmt='%.2f%%'

ax.yaxis.set_major_formatter(mtick.FormatStrFormatter(fmt))

ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))

ymin,ymax = ax.get_ylim()

ax.set_yticks(np.round(np.linspace(ymin,ymax,20),2))

plt.xticks(rotation=60)

plt.xlabel('日期')

plt.ylabel('利率(%)')

plt.title(title)

plt.subplots_adjust(bottom=0.2,right=0.9,left=0.1)

plt.legend()

plt.show()
使用 tushare 获取利率数据
deposit_rate = ts.get_deposit_rate()
画利率走势图
plot_dr(deposit_rate,'利率走势图')
查看一年期利率数据
filter_dr(deposit_rate,'定期存款整存整取(一年)')进群：548377875  <strong style="color:#4f4f4f;font-family:'-apple-system','SF UI Text',Arial,'PingFang SC','Hiragino Sans GB','Microsoft YaHei','WenQuanYi Micro Hei',sans-serif,SimHei,SimSun;font-size:16px;">?即可获取数十套PDF哦！

daterate62015-10-241.50202015-08-261.75342015-06-282.00482015-05-112.25622015-03-012.50762014-11-222.75902012-07-063.001042012-06-083.251182011-07-073.501322011-04-063.251462011-02-093.001602010-12-262.751742010-10-202.501882008-12-232.252022008-11-272.522162008-10-303.602302008-10-093.872442007-12-214.142582007-09-153.872722007-08-223.602862007-07-213.333002007-05-193.063142007-03-182.793282006-08-192.523422004-10-292.253562002-02-211.983701999-06-102.253841998-12-073.783981998-07-014.774121998-03-255.224261997-10-235.674401996-08-237.474541996-05-019.184681993-07-1110.984821993-05-159.184961991-04-217.565101990-08-218.645241990-04-1510.085381989-02-0111.34

其他参考

• baostock 数据平台
• 美国国债利率数据查看
• 中国经济指数

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