2.2 获取K线函数get_k_data()
该函数只返回开盘价（open）、最高价（high）、收盘价（close）、最低价（low）、成交量（volume）、成交金额（amount）六列。
2.2.1获取最近一年K线数据
在不指定开始时间和结束时间时，该函数默认返回最近一年的日线数据。
（１）数据集（XRHJ000598_OneYear.csv）
>>df_000598_OneYear
Out[31]:
表2.2 最近一年的日线数据表
? ? ? ? ? ? ? ? ? ? ? ? ? ? ?Unnamed: 0 ???????date ?open ?close ?high ??low ???volume ?code
0 ????????????0 ?2019-01-17 ?4.18 ??4.15 ?4.18 ?4.14 ??78508.0 ??598
1 ????????????1 ?2019-01-18 ?4.16 ??4.18 ?4.19 ?4.15 ??88076.0 ??598
2 ????????????2 ?2019-01-21 ?4.20 ??4.17 ?4.22 ?4.17 ??78809.0 ??598
3 ????????????3 ?2019-01-22 ?4.17 ??4.18 ?4.21 ?4.16 ??77226.0 ??598
4 ????????????4 ?2019-01-23 ?4.17 ??4.19 ?4.20 ?4.15 ??71678.0 ??598
.. ?????????... ????????... ??... ???... ??... ??... ??????... ??...
636 ????????636 ?2021-08-30 ?5.50 ??5.44 ?5.51 ?5.35 ?257074.0 ??598
637 ????????637 ?2021-08-31 ?5.47 ??5.54 ?5.58 ?5.43 ?252643.0 ??598
638 ????????638 ?2021-09-01 ?5.54 ??5.55 ?5.63 ?5.51 ?265328.0 ??598
639 ????????639 ?2021-09-02 ?5.55 ??5.60 ?5.61 ?5.51 ?189830.0 ??598
640 ????????640 ?2021-09-03 ?5.59 ??5.62 ?5.72 ?5.56 ?211018.0 ??598
[641 rows x 8 columns]
（２）Python相关性分析
>>df_000598_OneYear.corr(method='pearson')
Out[34]:
表2.3 最近一年的日线数据相关性分析表
open ????close ?????high ??????low ???volume
open ????????1.000000 ?0.978942 ?0.988339 ?0.991324 ?0.133015
close ???????0.978942 ?1.000000 ?0.991516 ?0.989809 ?0.172535
high ????????0.988339 ?0.991516 ?1.000000 ?0.986910 ?0.218669
low ?????????0.991324 ?0.989809 ?0.986910 ?1.000000 ?0.097746
volume ??????0.133015 ?0.172535 ?0.218669 ?0.097746 ?1.000000
（３）程序代码
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 25 14:19:07 2021
@author: zhuchunqiang
"""
import tushare as ts
import pandas as pd
import matplotlib.pyplot as plt
data = ts.get_k_data('000598')
data.to_csv('XRHJ000598_OneYear.csv')
df_000598_OneYear = pd.DataFrame(pd.read_csv('XRHJ000598_OneYear.csv'))
plt.figure()
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
Stock_close = df_000598_OneYear['close']
plt.plot(list(range(len(Stock_close))), Stock_close, color='r')
plt.xlabel('交易日期：2019-01-17至2021-09-02', fontsize=14)
plt.ylabel('收盘价', fontsize=14)
plt.title('股票000598收盘价隔走势图', fontsize=10)
plt.grid()
plt.show()
?图 1??兴蓉环境最近一年日线数据走势图?
2.2.2 获取指定时间段K线数据
加上时间段也可以获取相应数据。
（1）数据集（XRHJ000598_All.csv）
>>df_000598_All
Out[27]:
表2.4 兴蓉环境上市之日起股票数据一览表
date ??open ?close ??high ???low ????volume ?code
0 ????1996/5/29 ?0.360 ?0.400 ?0.406 ?0.354 ?156236.45 ??598
1 ????1996/5/30 ?0.400 ?0.472 ?0.483 ?0.400 ?144492.27 ??598
2 ????1996/5/31 ?0.461 ?0.488 ?0.516 ?0.455 ?107893.01 ??598
3 ?????1996/6/3 ?0.478 ?0.466 ?0.481 ?0.444 ??78301.78 ??598
4 ?????1996/6/4 ?0.466 ?0.522 ?0.527 ?0.447 ??91225.10 ??598
... ???... ???... ???... ???... ???????... ??...
6033 ?2021/8/27 ?5.270 ?5.470 ?5.550 ?5.270 ?342278.00 ??598
6034 ?2021/8/30 ?5.500 ?5.440 ?5.510 ?5.350 ?257074.00 ??598
6035 ?2021/8/31 ?5.470 ?5.540 ?5.580 ?5.430 ?252643.00 ??598
6036 ??2021/9/1 ?5.540 ?5.550 ?5.630 ?5.510 ?265328.00 ??598
6037 ??2021/9/2 ?5.550 ?5.600 ?5.610 ?5.510 ?189830.00 ??598
[6038 rows x 7 columns]
（2）EXCEL相关性分析
表2.5 兴蓉环境股票价格相关性分析一览表
|
| date | open | close | high | low | volume |
| date | 1 | |||||
| open | 0.820672 | 1 | ||||
| close | 0.821137 | 0.99896 | 1 | |||
| high | 0.816305 | 0.999443 | 0.999433 | 1 | ||
| low | 0.825409 | 0.999412 | 0.999391 | 0.998975 | 1 | |
| volume | 0.345326 | 0.595452 | 0.600893 | 0.608623 | 0.589318 | 1 |
（3）Python相关性分析
>>df_000598_All.corr(method='pearson')
Out[30]:
表2.6 兴蓉环境股票价格pearson相关性分析一览表
open ????close ?????high ??????low ???volume
open ???1.000000 ?0.998960 ?0.999443 ?0.999412 ?0.595452
close ??0.998960 ?1.000000 ?0.999433 ?0.999391 ?0.600893
high ???0.999443 ?0.999433 ?1.000000 ?0.998975 ?0.608623
low ????0.999412 ?0.999391 ?0.998975 ?1.000000 ?0.589318
volume ?0.595452 ?0.600893 ?0.608623 ?0.589318 ?1.000000
（4）程序代码
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 25 14:19:07 2021
@author: zhuchunqiang
"""
import tushare as ts
import pandas as pd
import matplotlib.pyplot as plt
data = ts.get_k_data('000598',start='1996-05-29',end='2021-09-03')
df = pd.DataFrame(data)
df.to_csv('XRHJ000598_All.csv')
df_000598_All = pd.DataFrame(pd.read_csv('XRHJ000598_All.csv'))
Stock_close = df_000598_All['close']
plt.figure()
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
plt.plot(list(range(len(Stock_close))), Stock_close, color='r')
plt.xlabel('交易日期：上市日至2021-09-02', fontsize=14)
plt.ylabel('收盘价', fontsize=14)
plt.title('股票000598收盘价隔走势图', fontsize=10)
plt.grid()
plt.show()
?图 2 兴蓉环境上市收盘价走势图