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ltcptgeneral 2019-03-22 15:21:58 -05:00
parent 00c9df4239
commit c15d037109
2 changed files with 44 additions and 42 deletions
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80
data analysis/data/scores.csv
View File

@ -1,40 +1,40 @@
49,56,63
48,58,43,71,44,47,38,61,54,68,46,72,67,61,71,55
46,71,40
20,18,45,55,25,46,55,31,26,49,51,56,74
42,61,52,43,67,32,55,44,41,49,47,19,74
40,25,43,25,56,68,59,46,72,61,45,45,47,67
65,43,74
41,35,35,30,56,39,48,49,71,48,72,44,49,54
26,47,56,49,12,30,44,52,27,49,61,47,32,55,44,54
29,63,35,37,26,51,35,58,30,61,45,39,56,55
35,31,27,49,30,57,35,34,65,56,67
46,43
45,62,48
17,16,25,37,28,33,33,41,42,66,71,33
19,81,49
49,47
24,16,12,20,42,37,42,49,19,43,57
46,45,71,85,54,57,52,66,47,77,68,75,45,51,66,71,67
40,23,45,58,37,42,42,43,30,36,40,66,54,55
45,58,52,49,53,55,60,64,66,43,49,58,82,67,78,71,71,63
63,57,57,39,51,45,69,64,57,74,74,57,70,64,62,62,81,57
46,48,55,42,24,40,99,39,36,40,39,66,48
60,49,54
24,48,20,54,28,41,35,27,28,32,60,33,33
43,62,53,38,63,45,71,64,60,70,74,57,70,64,62,60,81
46,49
20,15,15,37,63,39,41,39,15,45,33
31,27,63,12,12,30,45,47,30,51,56,40
65,62,63
48,30,27,37,36,53,52,62,50,32,44,57,71,69,73,60,64,46,33,40
39,62,33
23,43,43,35,33,29,30,83,38,33,96,79,96,77,81,0,46,47,54
38,39,20,61,42,68,48,65,48,48,72,44,62,43,54
25,62,53,54,61,63,42,59,14,53,63,65,72,58,50,46,56
27,19,35,44,40,43,45,38,51,48,44,51,42
44,43
40,31,45,42,27,37,43,46,47,50,55,44,42,57
66,49,49
66,43,49
62,42,48
49,56,63,65,73
48,58,43,71,44,47,38,61,54,68,46,72,67,61,71,55,65,54,47
46,71,40,52,68
20,18,45,55,25,46,55,31,26,49,51,56,74,60,56
42,61,52,43,67,32,55,44,41,49,47,19,74,40,52,65,77
40,25,43,25,56,68,59,46,72,61,45,45,47,67,63,56,77
65,43,74,59,68,59
41,35,35,30,56,39,48,49,71,48,72,44,49,54,64,60,63,43
26,47,56,49,12,30,44,52,27,49,61,47,32,55,44,54,68,72,61
29,63,35,37,26,51,35,58,30,61,45,39,56,55,78,73
35,31,27,49,30,57,35,34,65,56,67,54,50
46,43,68,52,68,66
45,62,48,65,61
17,16,25,37,28,33,33,41,42,66,71,33,52,77
19,81,49,29,68
49,47,40,59,50
24,16,12,20,42,37,42,49,19,43,57,54,37
46,45,71,85,54,57,52,66,47,77,68,75,45,51,66,71,67,72,73,43
40,23,45,58,37,42,42,43,30,36,40,66,54,55,59,37,84
45,58,52,49,53,55,60,64,66,43,49,58,82,67,78,71,71,63,75,68,84
63,57,57,39,51,45,69,64,57,74,74,57,70,64,62,62,81,57,75,50,66
46,48,55,42,24,40,99,39,36,40,39,66,48,75,50
60,49,54,29,47
24,48,20,54,28,41,35,27,28,32,60,33,33,72,59
43,62,53,38,63,45,71,64,60,70,74,57,70,64,62,60,81,68,54,50,77
46,49,40,60,55
20,15,15,37,63,39,41,39,15,45,33,64,29,51
31,27,63,12,12,30,45,47,30,51,56,40,54,51,66
65,62,63,78,47,77
48,30,27,37,36,53,52,62,50,32,44,57,71,69,73,60,64,46,33,40,36,37
39,62,33,53,41,77
23,43,43,35,33,29,30,83,38,33,96,79,96,77,81,0,46,47,54,53,55
38,39,20,61,42,68,48,65,48,48,72,44,62,43,54,78,51,59
25,62,53,54,61,63,42,59,14,53,63,65,72,58,50,46,56,64,53,56
27,19,35,44,40,43,45,38,51,48,44,51,42,65,36,61,84
44,43,65,63,55
40,31,45,42,27,37,43,46,47,50,55,44,42,57,52,41
66,49,49,54,50
66,43,49,36,41,43
62,42,48,52,68

1 49,56,63 49,56,63,65,73
2 48,58,43,71,44,47,38,61,54,68,46,72,67,61,71,55 48,58,43,71,44,47,38,61,54,68,46,72,67,61,71,55,65,54,47
3 46,71,40 46,71,40,52,68
4 20,18,45,55,25,46,55,31,26,49,51,56,74 20,18,45,55,25,46,55,31,26,49,51,56,74,60,56
5 42,61,52,43,67,32,55,44,41,49,47,19,74 42,61,52,43,67,32,55,44,41,49,47,19,74,40,52,65,77
6 40,25,43,25,56,68,59,46,72,61,45,45,47,67 40,25,43,25,56,68,59,46,72,61,45,45,47,67,63,56,77
7 65,43,74 65,43,74,59,68,59
8 41,35,35,30,56,39,48,49,71,48,72,44,49,54 41,35,35,30,56,39,48,49,71,48,72,44,49,54,64,60,63,43
9 26,47,56,49,12,30,44,52,27,49,61,47,32,55,44,54 26,47,56,49,12,30,44,52,27,49,61,47,32,55,44,54,68,72,61
10 29,63,35,37,26,51,35,58,30,61,45,39,56,55 29,63,35,37,26,51,35,58,30,61,45,39,56,55,78,73
11 35,31,27,49,30,57,35,34,65,56,67 35,31,27,49,30,57,35,34,65,56,67,54,50
12 46,43 46,43,68,52,68,66
13 45,62,48 45,62,48,65,61
14 17,16,25,37,28,33,33,41,42,66,71,33 17,16,25,37,28,33,33,41,42,66,71,33,52,77
15 19,81,49 19,81,49,29,68
16 49,47 49,47,40,59,50
17 24,16,12,20,42,37,42,49,19,43,57 24,16,12,20,42,37,42,49,19,43,57,54,37
18 46,45,71,85,54,57,52,66,47,77,68,75,45,51,66,71,67 46,45,71,85,54,57,52,66,47,77,68,75,45,51,66,71,67,72,73,43
19 40,23,45,58,37,42,42,43,30,36,40,66,54,55 40,23,45,58,37,42,42,43,30,36,40,66,54,55,59,37,84
20 45,58,52,49,53,55,60,64,66,43,49,58,82,67,78,71,71,63 45,58,52,49,53,55,60,64,66,43,49,58,82,67,78,71,71,63,75,68,84
21 63,57,57,39,51,45,69,64,57,74,74,57,70,64,62,62,81,57 63,57,57,39,51,45,69,64,57,74,74,57,70,64,62,62,81,57,75,50,66
22 46,48,55,42,24,40,99,39,36,40,39,66,48 46,48,55,42,24,40,99,39,36,40,39,66,48,75,50
23 60,49,54 60,49,54,29,47
24 24,48,20,54,28,41,35,27,28,32,60,33,33 24,48,20,54,28,41,35,27,28,32,60,33,33,72,59
25 43,62,53,38,63,45,71,64,60,70,74,57,70,64,62,60,81 43,62,53,38,63,45,71,64,60,70,74,57,70,64,62,60,81,68,54,50,77
26 46,49 46,49,40,60,55
27 20,15,15,37,63,39,41,39,15,45,33 20,15,15,37,63,39,41,39,15,45,33,64,29,51
28 31,27,63,12,12,30,45,47,30,51,56,40 31,27,63,12,12,30,45,47,30,51,56,40,54,51,66
29 65,62,63 65,62,63,78,47,77
30 48,30,27,37,36,53,52,62,50,32,44,57,71,69,73,60,64,46,33,40 48,30,27,37,36,53,52,62,50,32,44,57,71,69,73,60,64,46,33,40,36,37
31 39,62,33 39,62,33,53,41,77
32 23,43,43,35,33,29,30,83,38,33,96,79,96,77,81,0,46,47,54 23,43,43,35,33,29,30,83,38,33,96,79,96,77,81,0,46,47,54,53,55
33 38,39,20,61,42,68,48,65,48,48,72,44,62,43,54 38,39,20,61,42,68,48,65,48,48,72,44,62,43,54,78,51,59
34 25,62,53,54,61,63,42,59,14,53,63,65,72,58,50,46,56 25,62,53,54,61,63,42,59,14,53,63,65,72,58,50,46,56,64,53,56
35 27,19,35,44,40,43,45,38,51,48,44,51,42 27,19,35,44,40,43,45,38,51,48,44,51,42,65,36,61,84
36 44,43 44,43,65,63,55
37 40,31,45,42,27,37,43,46,47,50,55,44,42,57 40,31,45,42,27,37,43,46,47,50,55,44,42,57,52,41
38 66,49,49 66,49,49,54,50
39 66,43,49 66,43,49,36,41,43
40 62,42,48 62,42,48,52,68

6
data analysis/superscript.py
View File

@ -267,9 +267,11 @@ def pulldata():
#print(full[i][j].get(key).get('teamDBRef')[5:] in list_teams)
print(full[i][j].get(key).get('teamDBRef'))
#print(full[i][j].get(key).get('teamDBRef'))
print(list_teams)
#print(list(full[i][j].keys()))
#print(list_teams)
if full[i][j].get(key).get('teamDBRef')[5:] in list_teams: