In [1]:
import tushare as ts
ts.get_hist_data('600848') # 一次性获取全部数据
Out[1]:
open
high
close
low
volume
price_change
p_change
ma5
ma10
ma20
v_ma5
v_ma10
v_ma20
turnover
date
2016-09-08
24.80
24.80
24.25
23.81
136169.94
-0.24
-0.98
23.470
22.451
22.263
168695.44
125246.74
115658.48
4.66
2016-09-07
23.20
24.94
24.48
23.00
228627.59
1.49
6.48
23.192
22.201
22.093
193177.05
116716.33
112294.72
7.83
2016-09-06
22.74
24.07
22.99
22.74
136205.03
0.23
1.01
22.450
21.956
21.919
151935.44
101285.71
104605.53
4.66
2016-09-05
22.57
23.48
22.78
22.57
108498.10
-0.07
-0.31
21.992
21.811
21.855
133160.42
93292.61
103590.20
3.71
2016-09-02
22.33
23.80
22.85
22.33
233976.56
0.00
0.00
21.654
21.752
21.773
121822.20
88941.81
102333.38
8.01
2016-09-01
20.85
22.86
22.86
20.75
258577.98
2.08
10.01
21.432
21.679
21.713
81798.03
75551.31
97176.78
8.85
2016-08-31
20.92
20.94
20.77
20.65
22419.51
0.07
0.34
21.210
21.653
21.665
40255.61
65380.00
90520.76
0.77
2016-08-30
21.12
21.30
20.70
20.61
42329.96
-0.39
-1.85
21.462
21.816
21.735
50635.99
76858.93
98996.66
1.45
2016-08-29
21.87
21.87
21.09
21.00
51807.00
-0.67
-3.08
21.630
22.025
21.740
53424.79
91677.43
105053.36
1.77
2016-08-26
21.79
21.95
21.74
21.61
33855.69
-0.02
-0.09
21.850
22.115
21.708
56061.41
101178.10
107785.28
1.16
2016-08-25
21.80
22.03
21.75
21.53
50865.89
-0.26
-1.18
21.926
22.075
21.658
69304.58
106070.22
112279.59
1.74
2016-08-24
21.88
22.38
22.03
21.75
74321.39
0.49
2.27
22.096
21.985
21.627
90504.39
107873.10
119053.29
2.54
2016-08-23
22.41
22.41
21.54
21.38
56274.00
-0.66
-2.97
22.170
21.882
21.659
103081.87
107925.36
130838.66
1.93
2016-08-22
22.08
22.40
22.19
21.80
64990.10
0.00
0.00
22.420
21.898
21.663
129930.07
113887.79
137326.92
2.22
2016-08-19
22.60
22.60
22.12
21.99
100071.53
-0.57
-2.51
22.380
21.793
21.653
146294.79
115724.95
144255.63
3.43
2016-08-18
22.41
23.04
22.60
22.22
156864.94
0.23
1.03
22.224
21.747
21.545
142835.86
118802.26
146158.88
5.37
2016-08-17
22.51
22.78
22.40
21.83
137208.80
-0.38
-1.67
21.874
21.677
21.370
125241.81
115661.52
146652.25
4.70
2016-08-16
21.81
23.00
22.79
21.81
190514.98
0.80
3.64
21.594
21.653
21.173
112768.84
121134.38
142950.65
6.52
2016-08-15
21.60
22.38
21.99
21.18
146813.69
0.65
3.05
21.376
21.454
20.934
97845.51
118429.30
135559.48
5.03
2016-08-12
20.77
21.60
21.34
20.71
82776.91
0.53
2.55
21.206
21.301
20.750
85155.12
114392.45
131203.14
2.83
2016-08-11
21.09
21.25
20.85
20.77
68894.68
-0.16
-0.76
21.270
21.240
20.599
94768.66
118488.95
132369.09
2.36
2016-08-10
21.44
21.50
21.00
20.98
74843.92
-0.68
-3.14
21.480
21.269
20.440
106081.23
130233.48
131321.54
2.56
2016-08-09
21.14
21.70
21.70
20.80
115898.33
0.54
2.55
21.712
21.436
20.271
129499.93
153751.96
130282.63
3.97
2016-08-08
21.41
21.55
21.14
20.80
83361.75
-0.52
-2.40
21.532
21.428
20.065
139013.09
160766.04
128541.96
2.85
2016-08-05
22.15
22.70
21.66
21.55
130844.60
-0.26
-1.19
21.396
21.512
19.905
143629.78
172786.32
129085.94
4.48
2016-08-04
21.79
22.00
21.90
21.31
125457.57
-0.23
-1.04
21.210
21.342
19.745
142209.25
173515.50
132014.14
4.29
2016-08-03
21.00
22.45
22.16
20.51
191937.39
1.39
6.69
21.058
21.062
19.583
154385.73
177642.97
128179.09
6.57
2016-08-02
20.55
21.12
20.80
20.17
163464.12
0.38
1.86
21.160
20.693
19.323
178003.99
164766.92
118640.13
5.60
2016-08-01
20.37
21.22
20.46
20.03
106445.22
-0.23
-1.11
21.324
20.413
19.054
182519.00
152689.66
111697.72
3.64
2016-07-29
20.92
21.74
20.73
20.52
123741.96
-0.39
-1.85
21.628
20.198
18.793
201942.85
148013.83
107654.54
4.24
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
2013-10-30
6.00
6.08
6.07
5.93
10351.61
0.07
1.17
6.226
6.459
6.818
14104.09
27101.91
51733.86
0.35
2013-10-29
6.34
6.36
6.00
5.80
24353.96
-0.32
-5.06
6.304
6.578
6.873
16348.68
35900.07
56028.35
0.83
2013-10-28
6.29
6.35
6.32
6.27
6932.24
0.03
0.48
6.428
6.707
6.937
17326.80
39962.91
60272.80
0.24
2013-10-25
6.45
6.51
6.29
6.26
15821.80
-0.16
-2.48
6.518
6.803
6.990
22308.18
44614.07
66388.60
0.54
2013-10-24
6.44
6.55
6.45
6.42
13060.82
-0.01
-0.15
6.608
6.902
7.028
28920.61
51651.77
71549.71
0.45
2013-10-23
6.66
6.71
6.46
6.43
21574.58
-0.16
-2.42
6.692
6.958
7.050
40099.74
58000.64
72719.07
0.74
2013-10-22
6.87
6.87
6.62
6.56
29244.56
-0.15
-2.22
6.852
7.037
7.071
55451.47
64374.92
73113.23
1.00
2013-10-21
6.72
6.83
6.77
6.64
31839.14
0.03
0.45
6.986
7.104
7.087
62599.02
72434.09
73828.71
1.09
2013-10-18
6.83
6.83
6.74
6.50
48883.97
-0.13
-1.89
7.088
7.142
7.100
66919.96
76280.45
74639.76
1.67
2013-10-17
7.26
7.35
6.87
6.86
68956.43
-0.39
-5.37
7.196
7.173
7.110
74382.92
77813.07
76205.81
2.36
2013-10-16
7.27
7.36
7.26
7.10
98333.25
-0.03
-0.41
7.224
7.176
7.114
75901.55
76365.82
76614.82
3.37
2013-10-15
7.26
7.40
7.29
7.11
64982.30
0.01
0.14
7.222
7.168
7.106
73298.36
76156.62
75471.74
2.22
2013-10-14
7.31
7.39
7.28
7.15
53443.84
0.00
0.00
7.222
7.167
7.096
82269.17
80582.69
76054.49
1.83
2013-10-11
7.00
7.29
7.28
7.00
86198.78
0.27
3.85
7.196
7.177
7.085
85640.95
88163.12
77384.53
2.95
2013-10-10
7.24
7.30
7.01
6.99
76549.58
-0.24
-3.31
7.150
7.153
7.073
81243.23
91447.65
76833.64
2.62
2013-10-09
7.29
7.40
7.25
7.16
85317.30
-0.04
-0.55
7.128
7.141
7.077
76830.08
87437.49
76852.57
2.92
2013-10-08
7.14
7.50
7.29
7.11
109836.34
0.14
1.96
7.114
7.104
7.064
79014.88
81851.54
76247.95
3.76
2013-09-30
7.01
7.25
7.15
6.91
70302.73
0.10
1.42
7.112
7.069
7.047
78896.22
75223.32
73664.23
2.41
2013-09-27
6.81
7.15
7.05
6.69
64210.19
0.15
2.17
7.158
7.057
7.038
90685.30
72999.06
73944.35
2.20
2013-09-26
7.17
7.24
6.90
6.78
54483.85
-0.28
-3.90
7.156
7.046
7.037
101652.07
74598.55
74829.28
1.86
2013-09-25
7.28
7.43
7.18
7.12
96241.27
-0.10
-1.37
7.154
7.051
7.051
98044.90
76863.82
76863.82
3.29
2013-09-24
7.34
7.65
7.28
7.21
109243.07
-0.10
-1.35
7.094
7.037
7.037
84688.21
74710.77
74710.77
3.74
2013-09-23
6.92
7.47
7.38
6.92
129248.11
0.34
4.83
7.026
7.006
7.006
71550.41
70394.23
70394.23
4.42
2013-09-18
6.82
7.25
7.04
6.81
119044.05
0.15
2.18
6.956
6.953
6.953
55312.83
61986.54
61986.54
4.07
2013-09-17
6.89
7.00
6.89
6.72
36447.99
0.01
0.14
6.936
6.938
6.938
47545.03
52476.95
52476.95
1.25
2013-09-16
6.92
6.99
6.88
6.78
29457.82
-0.06
-0.86
6.948
6.948
6.948
55682.74
55682.74
55682.74
1.01
2013-09-13
6.99
7.07
6.94
6.85
43554.09
-0.09
-1.28
6.965
6.965
6.965
62238.97
62238.97
62238.97
1.49
2013-09-12
6.94
7.05
7.03
6.80
48060.21
0.09
1.30
6.973
6.973
6.973
68467.27
68467.27
68467.27
1.65
2013-09-11
6.91
7.09
6.94
6.65
80205.05
-0.01
-0.14
6.945
6.945
6.945
78670.80
78670.80
78670.80
2.75
2013-09-10
6.67
7.01
6.95
6.52
77136.54
0.34
5.14
6.950
6.950
6.950
77136.54
77136.54
77136.54
2.64
503 rows × 14 columns
设定历史数据的时间：
In [2]:
ts.get_hist_data('600848', start='2015-01-05', end='2015-01-09')
Out[2]:
open
high
close
low
volume
price_change
p_change
ma5
ma10
ma20
v_ma5
v_ma10
v_ma20
turnover
date
2015-01-09
11.68
11.71
11.23
11.19
44851.56
-0.44
-3.77
11.538
11.363
11.682
58792.43
60665.93
107924.27
1.54
2015-01-08
11.70
11.92
11.67
11.64
56845.71
-0.25
-2.10
11.516
11.349
11.647
57268.99
61376.00
105823.50
1.95
2015-01-07
11.58
11.99
11.92
11.48
86681.38
0.31
2.67
11.366
11.251
11.543
55049.74
61628.07
103010.58
2.97
2015-01-06
11.13
11.66
11.61
11.03
59199.93
0.35
3.11
11.182
11.155
11.382
54854.38
63401.05
98686.98
2.03
2015-01-05
11.16
11.39
11.26
10.89
46383.57
0.14
1.26
11.156
11.212
11.198
58648.75
68429.87
97141.81
1.59
In [3]:
df = ts.get_realtime_quotes('000581') # Single stock symbol
df[['code', 'name', 'price', 'bid', 'ask', 'volume', 'amount', 'time']]
Out[3]:
code
name
price
bid
ask
volume
amount
time
0
000581
威孚高科
22.420
22.430
22.430
11144969
256467490.010
14:59:51
In [4]:
df = ts.get_tick_data('600848', date='2014-01-09')
df.head(10)
Out[4]:
time
price
change
volume
amount
type
0
15:00:00
6.05
--
8
4840
卖盘
1
14:59:55
6.05
--
50
30250
卖盘
2
14:59:35
6.05
--
20
12100
卖盘
3
14:59:30
6.05
-0.01
165
99825
卖盘
4
14:59:20
6.06
0.01
4
2424
买盘
5
14:59:05
6.05
-0.01
2
1210
卖盘
6
14:58:55
6.06
--
4
2424
买盘
7
14:58:45
6.06
--
2
1212
买盘
8
14:58:35
6.06
0.01
2
1212
买盘
9
14:58:25
6.05
-0.01
20
12100
卖盘
In [5]:
df = ts.get_realtime_quotes('000581') #Single stock symbol
df[['code', 'name', 'price', 'bid', 'ask', 'volume', 'amount', 'time']]
Out[5]:
code
name
price
bid
ask
volume
amount
time
0
000581
威孚高科
22.430
22.430
22.440
11259169
259028996.010
15:02:03
Content source: HDelbert/docker-tensorflow-tushare
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