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ltcptgeneral 2019-03-21 17:52:59 -05:00
parent e4a179925a
commit 686f61e373
4 changed files with 8 additions and 99 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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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
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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16
2016
2022
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/test.py
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import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
import csv
import numpy as np
# Use a service account
cred = credentials.Certificate('keys/keytemp.json')
#add your own key as this is public. email me for details
firebase_admin.initialize_app(cred)
db = firestore.client()
teams=db.collection('data').document('team-2022').collection("Central 2019").get()
full=[]
tms=[]
for team in teams:
tms.append(team.id)
reports=db.collection('data').document('team-2022').collection("Central 2019").document(team.id).collection("matches").get()
for report in reports:
data=[]
data.append(db.collection('data').document('team-2022').collection("Central 2019").document(team.id).collection("matches").document(report.id).get().to_dict())
full.append(data)
quant_keys = []
list_teams = ["2022", "16", "2451"]
out = []
var = {}
for i in range(len(full)):
for j in range(len(full[i])):
for key in list(full[i][j].keys()):
if "Quantitative" in key:
quant_keys.append(key)
if full[i][j].get(key).get('teamDBRef')[5:] in list_teams:
var = {}
measured_vars = []
for k in range(len(list(full[i][j].get(key).keys()))):
individual_keys = list(full[i][j].get(key).keys())
var[individual_keys[k]] = full[i][j].get(key).get(individual_keys[k])
out.append(var)
sorted_out = []
for i in out:
j_list = []
key_list = []
sorted_keys = sorted(i.keys())
for j in sorted_keys:
key_list.append(i[j])
j_list.append(j)
sorted_out.append(key_list)
var_index = 0
team_index = 0
big_out = []
for j in range(len(i)):
big_out.append([])
for t in range(len(list_teams)):
big_out[j].append([])
for i in sorted_out:
team_index = list_teams.index(sorted_out[sorted_out.index(i)][j_list.index('teamDBRef')][5:])
for j in range(len(i)):
big_out[j][team_index].append(i[j])
for i in range(len(big_out)):
with open('data/' + j_list[i] + '.csv', "w+", newline = '') as file:
writer = csv.writer(file, delimiter = ',')
writer.writerows(big_out[i])