-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathDiccionarios.py
129 lines (124 loc) · 2.49 KB
/
Diccionarios.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
diccionario_fechas = (
'2016-07-15 15:23:58',
'2016-09-13 15:26:48',
'2016-11-22 15:19:30',
'2016-12-02 15:21:03',
'2016-12-22 15:23:53',
'2017-01-01 15:18:50',
'2017-02-20 15:19:29',
'2017-04-01 15:22:07',
'2017-07-10 15:19:39',
'2017-08-19 15:19:04',
'2017-09-08 15:18:57',
'2017-09-28 15:17:00',
'2017-10-03 15:18:00',
'2017-10-18 15:20:32',
'2017-11-07 15:23:24',
'2017-11-12 15:20:16',
'2018-01-21 15:16:56',
'2018-01-26 15:26:39',
'2018-03-02 15:23:24',
'2018-03-22 15:21:47',
'2018-03-27 15:17:02',
'2018-04-11 15:18:56',
'2018-04-16 15:26:49',
'2018-04-21 15:19:59',
'2018-05-11 15:20:06',
'2018-05-16 15:20:17',
'2018-05-21 15:21:14',
'2018-06-05 15:19:28',
'2018-06-25 15:22:39',
'2018-06-30 15:17:02',
'2018-07-30 15:17:00',
'2018-08-29 15:21:21',
'2018-09-03 15:22:19',
'2018-09-08 15:17:37',
'2018-09-13 15:17:00',
'2018-09-18 15:23:33',
'2018-09-23 15:22:42',
'2018-09-28 15:24:18',
'2018-10-23 15:22:29',
'2018-10-28 15:19:18',
'2018-11-07 15:26:55',
'2018-11-12 15:26:52',
'2018-11-22 15:26:50',
'2018-11-27 15:26:54',
'2018-12-02 15:26:49',
'2018-12-12 15:26:49',
'2018-12-17 15:26:52',
'2018-12-22 15:26:49',
'2019-03-02 15:42:16',
'2019-03-12 15:27:56',
'2019-03-17 15:27:39',
'2019-03-22 15:31:39',
'2019-04-11 15:42:13',
'2019-04-16 15:37:06',
'2019-04-26 15:27:08',
'2019-05-01 15:27:01',
'2019-05-16 15:27:06',
'2019-06-10 15:27:00',
'2019-06-15 15:27:05',
'2019-06-25 15:27:06',
'2019-07-05 15:27:06',
'2019-07-10 15:27:03',
'2019-07-20 15:27:03',
'2019-07-25 15:27:06',
'2019-08-04 15:27:05',
'2019-08-09 15:27:01',
'2019-08-14 15:27:04',
'2019-08-19 15:27:00',
'2019-08-24 15:27:02',
'2019-09-13 15:26:58',
'2019-09-18 15:26:57',
'2019-09-23 15:26:57',
'2019-09-28 15:26:59',
'2019-10-03 15:26:58',
'2019-10-08 15:27:00',
'2019-10-13 15:26:59',
'2019-10-23 15:26:59',
'2019-10-28 15:27:01',
'2019-11-02 15:26:58',
'2019-11-17 15:26:59',
'2019-12-07 15:26:55',
'2019-12-17 15:26:52',
'2019-12-27 15:26:52',
'2020-02-05 15:26:49',
'2020-02-10 15:26:52',
'2020-02-15 15:26:51',
'2020-03-11 15:26:55',
'2020-04-15 15:26:57',
'2020-04-20 15:26:52')
ventana_fechas = (
'2016-07-15',
'2020-04-20')
import numpy as np
dic_datatab = {
'idk': np.str,
'fec': np.str,
'par': np.str,
'tot': np.int32,
'tru': np.int32,
'sum': np.float32,
'avg': np.float32,
'std': np.float32,
'med': np.float32,
'max': np.float32,
'min': np.float32}
nam_datatab = [
'idk',
'fec',
'par',
'tot',
'tru',
'sum',
'avg',
'std',
'med',
'max',
'min']
dic_datazon = {
'ID': np.str,
'yield': np.float32,
'area': np.float32,
'zona': np.str,
'WKT': np.str }