def result():
Id = session["match"]
Team = teams(Id)
Captain = Team[1]
VCaptain = Team[2]
Team = Team[0]
players = []
for i in Team:
if i == Captain:
x = "(C)"
elif i == VCaptain:
x = "(VC)"
else:
x = ""
if i == "Nathan Coulter":
players.append("Nathan Coulter Nile" + x)
elif "Eoin Morgan" in i:
players.append("Eoin Morgan" + x)
elif "Jason Roy" in i:
players.append("Jason Roy" + x)
elif "Liam Plunkett" in i:
players.append("Liam Plunkett" + x)
else:
players.append(i[:i.find("\xa0")] + x)
c = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
v = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
for i in range(len(players)):
if "(C)" in players[i]:
c[i] = "(C)"
v[i] = ""
players[i] = players[i][:-3]
elif "(VC)" in players[i]:
v[i] = "(VC)"
c[i] = ""
players[i] = players[i][:-4]
else:
v[i] = ""
c[i] = ""
return render_template(
"result.html",
c1=c[0],
v1=v[0],
t1=players[0],
c2=c[1],
v2=v[1],
t2=players[1],
c3=c[2],
v3=v[2],
t3=players[2],
c4=c[3],
v4=v[3],
t4=players[3],
c5=c[4],
v5=v[4],
t5=players[4],
c6=c[5],
v6=v[5],
t6=players[5],
c7=c[6],
v7=v[6],
t7=players[6],
c8=c[7],
v8=v[7],
t8=players[7],
c9=c[8],
v9=v[8],
t9=players[8],
c10=c[9],
v10=v[9],
t10=players[9],
c11=c[10],
v11=v[10],
t11=players[10],
)
values = {}
ID = ["a", "b", "c", "d", "e", "f"]
matchname = {}
value = [5]
for we in ID:
name = filename(we)
match, matchID, date = (
name.split("%")[0],
name.split("%")[1],
name.split("%")[2][:-4],
)
matchname[we] = match
values[match] = {}
for k in value:
players, captain, vc, wkteam, allteam, ballteam, batteam = teams(we, k)
values[match][k] = None
teamtotal = 0
for j in players:
batscore, ballscore, my11score = 0, 0, 0
f = ""
for i in j:
if i != "(":
f += i
else:
break
f = f.strip()
for i in tqdm(os.listdir("data/zip")):
if f in i:
f = i
break
#!/usr/bin/python3
import matplotlib.pyplot as plt
import numpy as np
import base64
from io import BytesIO
import team
data = []
teams = team.teams()
with open(
"/media/cplalexandtang/Windows/Users/cplalexandtang/Desktop/NTU/IDCC2019-Final/data/mlb.csv"
) as file:
for line in file.readlines()[:4000]:
data.append(line[:-1].split(","))
fig = plt.figure(figsize=(16, 10))
elos = []
for t in teams:
elo = []
for d in data:
if d[4] == t:
elo.append(float(d[6]))
if len(elo) == 100: break
plt.plot(np.arange(100), np.array(elo), label=t)
plt.grid(True)
plt.legend()