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ltcptgeneral 2019-03-21 17:34:27 -05:00
parent ccdbf1b3e5
commit b0ed636039
4 changed files with 12 additions and 3 deletions
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data analysis/__pycache__/analysis.cpython-37.pyc
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data analysis/data/scores.csv
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@ -1,3 +1,6 @@
35,63,62,18,56,65,42,77,82,63,76,50,47,69,57,65,85,70,38,67,89,74,71,67,70,71,95,77,45
46,24,12,23,66,48,43,35,32,42,78,56,70,53,56,43,16,85,46,76,86,77,71,77,76,70,73
29,63,35,37,26,51,35,58,30,61,45 29,63,35,37,26,51,35,58,30,61,45
26,62,45,37,42,29,59,44,40 26,62,45,37,42,29,59,44,40
35,63,62,18,56,65,42,77,82,63,76,50,47,69,57,65,85,70,38,67,89,74,71,67,70,71,95,77,45 46,45,71,85,54,57,52,66,47,77,68,75,45,51
26,15,31,54,37,48,19,69,56

1 29,63,35,37,26,51,35,58,30,61,45 35,63,62,18,56,65,42,77,82,63,76,50,47,69,57,65,85,70,38,67,89,74,71,67,70,71,95,77,45
1 35,63,62,18,56,65,42,77,82,63,76,50,47,69,57,65,85,70,38,67,89,74,71,67,70,71,95,77,45
2 46,24,12,23,66,48,43,35,32,42,78,56,70,53,56,43,16,85,46,76,86,77,71,77,76,70,73
3 29,63,35,37,26,51,35,58,30,61,45 29,63,35,37,26,51,35,58,30,61,45
4 26,62,45,37,42,29,59,44,40 26,62,45,37,42,29,59,44,40
5 35,63,62,18,56,65,42,77,82,63,76,50,47,69,57,65,85,70,38,67,89,74,71,67,70,71,95,77,45 46,45,71,85,54,57,52,66,47,77,68,75,45,51
6 26,15,31,54,37,48,19,69,56

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data analysis/data/teams.csv
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@ -1,3 +1,6 @@
16
2016
2022 2022
2451 2451
16 3695
5148
1 2022 16
1 16
2 2016
3 2022 2022
4 2451 2451
5 16 3695
6 5148

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data analysis/superscript.py
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@ -186,9 +186,10 @@ def titanservice():
for i in range(len(teams)): for i in range(len(teams)):
score_out[str(teams[i][0])] = (nishant[i]) score_out[str(teams[i][0])] = (nishant[i])
#print(teams)
location = db.collection(u'stats').document(u'stats-noNN') location = db.collection(u'stats').document(u'stats-noNN')
for i in range(len(teams)): for i in range(len(teams)):
print(i)
general_general_stats = location.collection(teams[i][0]) general_general_stats = location.collection(teams[i][0])
for j in range(len(files)): for j in range(len(files)):
@ -204,6 +205,8 @@ def titanservice():
def pulldata(): def pulldata():
teams = analysis.load_csv('data/teams.csv') teams = analysis.load_csv('data/teams.csv')
#print(teams)
#print(len(teams))
scores = [] scores = []
for i in range(len(teams)): for i in range(len(teams)):
team_scores = [] team_scores = []