5.1 tushare包介绍

 

股票分析
tushare
http://tushare.org/

安装
pip install Tushare

In [1]:

import tushare as ts

In [5]:

ts.get_k_data("601390")  # 中国中铁

Out[5]:

 

	date	open	close	high	low	volume	code
0	2017-03-31	8.776	8.590	8.815	8.551	857620.0	601390
1	2017-04-05	8.766	8.971	9.058	8.707	2164944.0	601390
2	2017-04-06	9.049	9.448	9.721	8.932	3078158.0	601390
3	2017-04-07	9.439	9.312	9.439	9.185	2070300.0	601390
4	2017-04-10	9.331	9.312	9.517	9.205	1814621.0	601390
...	...	...	...	...	...	...	...
635	2020-03-02	5.430	5.910	5.910	5.420	3217750.0	601390
636	2020-03-03	6.080	5.860	6.080	5.790	2689631.0	601390
637	2020-03-04	5.810	5.950	6.050	5.770	1745901.0	601390
638	2020-03-05	6.000	5.930	6.050	5.880	1353211.0	601390
639	2020-03-06	5.850	5.760	5.930	5.740	1211796.0	601390

640 rows × 7 columns

In [4]:

ts.get_k_data("601318")

Out[4]:

 

	date	open	close	high	low	volume	code
0	2017-07-20	51.560	52.003	52.138	50.857	659198.0	601318
1	2017-07-21	51.223	50.029	51.300	49.971	1294791.0	601318
2	2017-07-24	50.145	50.655	51.127	49.760	904595.0	601318
3	2017-07-25	50.665	50.366	51.079	50.241	506834.0	601318
4	2017-07-26	50.164	49.962	50.549	49.374	657610.0	601318
...	...	...	...	...	...	...	...
635	2020-03-02	78.320	79.580	80.200	78.320	712323.0	601318
636	2020-03-03	80.480	79.490	80.570	79.260	678238.0	601318
637	2020-03-04	79.900	80.580	80.750	79.900	677574.0	601318
638	2020-03-05	81.010	82.450	82.760	80.620	960642.0	601318
639	2020-03-06	81.570	80.910	81.920	80.800	584186.0	601318

640 rows × 7 columns

 

In [7]:

df = ts.get_k_data("000016",index=True)
df

Out[7]:

 

	date	open	close	high	low	volume	code
0	2017-07-20	2653.38	2665.45	2666.04	2643.64	37580733.0	sh000016
1	2017-07-21	2655.23	2639.21	2661.48	2635.00	29715562.0	sh000016
2	2017-07-24	2636.55	2654.38	2666.65	2632.76	33056566.0	sh000016
3	2017-07-25	2656.48	2643.07	2667.79	2639.61	34185413.0	sh000016
4	2017-07-26	2642.26	2636.20	2665.15	2617.55	35447256.0	sh000016
...	...	...	...	...	...	...	...
635	2020-03-02	2837.77	2907.89	2922.95	2837.77	54884776.0	sh000016
636	2020-03-03	2941.68	2921.44	2948.55	2910.76	53161398.0	sh000016
637	2020-03-04	2921.07	2947.57	2949.57	2919.37	42569549.0	sh000016
638	2020-03-05	2966.69	3018.07	3023.12	2956.65	60497966.0	sh000016
639	2020-03-06	2989.76	2964.83	2999.49	2962.40	41855288.0	sh000016

640 rows × 7 columns

In [9]:

ts.get_k_data("601390",start='2019-01-01')

Out[9]:

 

	date	open	close	high	low	volume	code
0	2019-01-02	7.00	6.87	7.04	6.80	370089.0	601390
1	2019-01-03	6.88	6.92	6.94	6.84	325933.0	601390
2	2019-01-04	6.86	7.01	7.02	6.85	405116.0	601390
3	2019-01-07	7.05	7.04	7.13	7.01	457590.0	601390
4	2019-01-08	7.04	7.05	7.10	7.03	223430.0	601390
...	...	...	...	...	...	...	...
280	2020-03-02	5.43	5.91	5.91	5.42	3217750.0	601390
281	2020-03-03	6.08	5.86	6.08	5.79	2689631.0	601390
282	2020-03-04	5.81	5.95	6.05	5.77	1745901.0	601390
283	2020-03-05	6.00	5.93	6.05	5.88	1353211.0	601390
284	2020-03-06	5.85	5.76	5.93	5.74	1211796.0	601390

285 rows × 7 columns