forked from s452662/SystemyRozmyte
107 lines
2.8 KiB
Python
107 lines
2.8 KiB
Python
import pandas as pd
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from simpful import *
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df = pd.read_csv('df_full_premierleague.csv')
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# Ostatnie 5 spotkań
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#Forma: 0-6 punktow = słaba, średnia 6-10, dobra 10-15 punktow
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#Bilans bramek ujemny dodatni
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#Strzały 6- mało pomiędzy średnio 12 - dużo
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#Posiadanie piłki słabe 30-40, średnie = 40-55, dobre = 56-64
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#Podania ponizej 300-400 słabo powyżej 500 dużo
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def generateTrainingData(dataframe):
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columns = ['season','date','home_team','away_team','result_full','home_passes','away_passes',
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'home_possession','away_possession','home_shots','away_shots']
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return dataframe[columns]
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def last5Matches(sezon, druzynaA, data, df):
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# Wybierz rekordy dla danej pary drużyn i sezonu
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subset = df[((df['season'] == sezon) & ((df['home_team'] == druzynaA) | (df['away_team'] == druzynaA)))]
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# Filtruj dane, aby zawierały te przed daną datą
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przed_dana_data = subset[pd.to_datetime(subset['date']) < pd.to_datetime(data)]
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# Posortuj wg daty w odwrotnej kolejności
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przed_dana_data = przed_dana_data.sort_values(by='date', ascending=False)
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# Wybierz 5 ostatnich przed daną datą
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ostatnie_przed_data = przed_dana_data.head(5)
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return ostatnie_przed_data
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def getResult(score,teamHome):
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x,y = score.split('-')
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x = int(x)
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y = int(y)
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if (x > y and teamHome == True) or (x < y and teamHome == False):
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return "win"
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elif x == y:
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return "draw"
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else:
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return "loss"
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def calculatePoints(matches, team):
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points = 0
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for index, row in matches.iterrows():
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if team == row['home_team']:
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teamHome = True
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else:
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teamHome = False
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x = getResult(row['result_full'], teamHome)
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print(x)
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if x == "win":
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points = points + 3
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elif x == "draw":
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points = points + 1
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return points
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def calculateGoalDifference(matches, team):
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goal_diff = 0
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for index, row in matches.iterrows():
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if team == row['home_team']:
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teamHome = True
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else:
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teamHome = False
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x,y = row['result_full'].split('-')
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x = int(x)
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y = int(y)
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if teamHome:
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goal_diff = goal_diff + (x-y)
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else:
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goal_diff = goal_diff + (y-x)
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return goal_diff
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def categorize_passes(pass_count):
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if pass_count < 400:
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return 0 #słabo
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elif 400 <= pass_count <= 500:
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return 1 #średnio
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else:
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return 2 #dużo
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wynik = last5Matches('10/11', 'Stoke City', '2010-10-02', df)
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#print(wynik.to_markdown())
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print(wynik)
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#wynik = last5Matches('10/11', 'Blackburn Rovers', '2010-10-02', df)
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#print(wynik.to_markdown())
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#print(wynik)
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print(calculatePoints(wynik,'Stoke City'))
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print(calculateGoalDifference(wynik, 'Stoke City'))
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df = generateTrainingData(df)
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print(df)
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