from fplplayers import Data
from games import Games
d = Data('data.json')
g = Games('E0.csv')
#all_teams = list(d.all_teams())
all_teams = ['Arsenal', 'Chelsea', 'Liverpool', 'Man City']#, 'Man Utd', 'Everton', 'Tottenham',]
temp_points_progressions = [g.of_team(t).points_progression_for(t) for t in all_teams]
points_progressions = []
for p in temp_points_progressions:
points_progressions.append([0,] + p)
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots()
ax.set_ylabel('Points')
ax.set_xlabel('Gameweek')
ax.set_title('Points progression')
ax.set_xticks(np.arange(38)+1)
ax.set_yticks(np.arange(0,114,3))
#ax.legend TODO
lines = []
for team, points in zip(all_teams, points_progressions):
lines.append(ax.plot(np.arange(len(points)), points))
ax.legend( tuple([line[0] for line in lines]), tuple(all_teams), loc=4)
predictedpoints[team] = 0
for f in fixtures:
if f.playedat == "A":
for gm in g.of_team_at_home(team):
if f.opponent == gm.awayteam:
predictedpoints[team] += gm.homepoints
# print team+ ' scored '+str(gm.homepoints)+' against '+gm.awayteam.name
break
else:
for gm in g.of_team_at_away(team):
if f.opponent == gm.hometeam:
predictedpoints[team] += gm.awaypoints
# print team+ ' scored '+str(gm.awaypoints)+' against '+gm.hometeam.name
break
finalpoints.append((team, predictedpoints[team] + points(g.of_team(team), team), points(g.of_team(team), team)))
finalpoints.sort(key=lambda x: x[1], reverse=True)
tmp = finalpoints[1]
finalpoints[1] = finalpoints[0]
finalpoints[0] = tmp
# Now for the plotting fun
import numpy as np
import matplotlib.pyplot as plt
N = 20
ind = np.arange(N)
width = 0.35
