-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathweek_pre_wc.py
159 lines (147 loc) · 7.05 KB
/
week_pre_wc.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
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
import pandas as pd
import matchup
import xlsxwriter
import xlautofit
import xlrd
import sys
import time
import collections
import os
week_timer = time.time()
week_number = 'wc_matrix'
matchups = collections.OrderedDict()
matchups['Matchups'] = [('NE', 'DEN'),
('NE', 'PIT'),
('NE', 'IND'),
('NE', 'CIN'),
('NE', 'BAL'),
('NE', 'SEA'),
('NE', 'GB'),
('NE', 'DAL'),
('NE', 'CAR'),
('NE', 'ARI'),
('NE', 'DET'),
('DEN', 'PIT'),
('DEN', 'IND'),
('DEN', 'CIN'),
('DEN', 'BAL'),
('DEN', 'SEA'),
('DEN', 'GB'),
('DEN', 'DAL'),
('DEN', 'CAR'),
('DEN', 'ARI'),
('DEN', 'DET'),
('PIT', 'IND'),
('PIT', 'CIN'),
('PIT', 'BAL'),
('PIT', 'SEA'),
('PIT', 'GB'),
('PIT', 'DAL'),
('PIT', 'CAR'),
('PIT', 'ARI'),
('PIT', 'DET'),
('IND', 'CIN'),
('IND', 'BAL'),
('IND', 'SEA'),
('IND', 'GB'),
('IND', 'DAL'),
('IND', 'CAR'),
('IND', 'ARI'),
('IND', 'DET'),
('CIN', 'BAL'),
('CIN', 'SEA'),
('CIN', 'GB'),
('CIN', 'DAL'),
('CIN', 'CAR'),
('CIN', 'ARI'),
('CIN', 'DET'),
('BAL', 'SEA'),
('BAL', 'GB'),
('BAL', 'DAL'),
('BAL', 'CAR'),
('BAL', 'ARI'),
('BAL', 'DET'),
('SEA', 'GB'),
('SEA', 'DAL'),
('SEA', 'CAR'),
('SEA', 'ARI'),
('SEA', 'DET'),
('GB', 'DAL'),
('GB', 'CAR'),
('GB', 'ARI'),
('GB', 'DET'),
('DAL', 'CAR'),
('DAL', 'ARI'),
('DAL', 'DET'),
('CAR', 'ARI'),
('CAR', 'DET'),
('ARI', 'DET')]
location = os.getcwd().replace('\\', '/')
output_file = location + '/Weekly Forecasts/Week' + str(week_number) + '.xlsx'
for read_data in range(2):
week_book = xlsxwriter.Workbook(output_file)
header_format = week_book.add_format({'align': 'center', 'bold': True, 'bottom': True})
index_format = week_book.add_format({'align': 'right', 'bold': True})
score_format = week_book.add_format({'num_format': '#0', 'align': 'right'})
percent_format = week_book.add_format({'num_format': '#0%', 'align': 'right'})
if read_data:
colwidths = xlautofit.even_widths_single_index(output_file)
for game_time in matchups:
if read_data:
data_book = xlrd.open_workbook(output_file)
data_sheet = data_book.sheet_by_name(game_time)
sheet = week_book.add_worksheet(game_time)
sheet.write_string(1, 0, 'Chance of Winning', index_format)
sheet.write_string(2, 0, 'Expected Score', index_format)
sheet.write_string(3, 0, '2.5th Percentile Score', index_format)
sheet.write_string(4, 0, '10th Percentile Score', index_format)
sheet.write_string(5, 0, '25th Percentile Score', index_format)
sheet.write_string(6, 0, '50th Percentile Score', index_format)
sheet.write_string(7, 0, '75th Percentile Score', index_format)
sheet.write_string(8, 0, '90th Percentile Score', index_format)
sheet.write_string(9, 0, '97.5th Percentile score', index_format)
sheet.freeze_panes(0, 1)
games = matchups[game_time]
for i in range(len(games)):
home = games[i][0]
away = games[i][1]
homecol = 3 * i + 1
awaycol = 3 * i + 2
sheet.write_string(0, homecol, home, header_format)
sheet.write_string(0, awaycol, away, header_format)
if read_data:
sheet.write_number(1, homecol, data_sheet.cell(1, homecol).value, percent_format)
sheet.write_number(1, awaycol, data_sheet.cell(1, awaycol).value, percent_format)
for rownum in range(2, 10):
sheet.write_number(rownum, homecol, data_sheet.cell(rownum, homecol).value, score_format)
sheet.write_number(rownum, awaycol, data_sheet.cell(rownum, awaycol).value, score_format)
else:
results = matchup.matchup(home, away)
probwin = results['ProbWin']
sheet.write_number(1, homecol, probwin[home], percent_format)
sheet.write_number(1, awaycol, probwin[away], percent_format)
home_dist = results['Scores'][home]
away_dist = results['Scores'][away]
sheet.write_number(2, homecol, home_dist['mean'], score_format)
sheet.write_number(2, awaycol, away_dist['mean'], score_format)
sheet.write_number(3, homecol, home_dist['2.5%'], score_format)
sheet.write_number(3, awaycol, away_dist['2.5%'], score_format)
sheet.write_number(4, homecol, home_dist['10%'], score_format)
sheet.write_number(4, awaycol, away_dist['10%'], score_format)
sheet.write_number(5, homecol, home_dist['25%'], score_format)
sheet.write_number(5, awaycol, away_dist['25%'], score_format)
sheet.write_number(6, homecol, home_dist['50%'], score_format)
sheet.write_number(6, awaycol, away_dist['50%'], score_format)
sheet.write_number(7, homecol, home_dist['75%'], score_format)
sheet.write_number(7, awaycol, away_dist['75%'], score_format)
sheet.write_number(8, homecol, home_dist['90%'], score_format)
sheet.write_number(8, awaycol, away_dist['90%'], score_format)
sheet.write_number(9, homecol, home_dist['97.5%'], score_format)
sheet.write_number(9, awaycol, away_dist['97.5%'], score_format)
if i != len(games) - 1:
sheet.write_string(0, 3 * i + 3, ' ')
if read_data:
for colnum in range(sheet.dim_colmax):
sheet.set_column(colnum, colnum, colwidths[sheet.name][colnum])
week_book.close()
print('Week ' + str(week_number) + ' predictions calculated in ' + str(round((time.time() - week_timer) / 60, 2)) + ' minutes')