s452662/SystemyRozmyte
1
0
Fork 1
Code Issues Pull Requests Projects Releases Wiki Activity

changed data filtering

Browse Source
This commit is contained in:
s452662 2024-01-30 23:46:27 +01:00
parent 5b4baf4202
commit 882c09cdc3
5 changed files with 351 additions and 65 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
data_dictionary.txt
View File

@ -1,4 +1,4 @@
link_match : page link of match in Premier League Official website link_match : page link of match in Premier League Official websitemarkdow
season : match season season : match season
date : match date date : match date
home_team : home team home_team : home team

83
data_filters.py
View File

@ -1,6 +1,18 @@
import pandas as pd import pandas as pd
from fuzzy import * from fuzzy import *
def zapisz_do_csv(nazwa_pliku, dataframe):
dataframe.to_csv(nazwa_pliku, mode='a', index=False, header=not pd.DataFrame().append(dataframe).empty)
def podziel_na_partie(dataframe, rozmiar_partii):
for i in range(0, len(dataframe), rozmiar_partii):
yield dataframe.iloc[i:i + rozmiar_partii]
def przetwarzaj_co_50_rekordow(plik_wejsciowy, plik_wyjsciowy):
dataframe_wejsciowe = pd.read_csv(plik_wejsciowy)
def generateTrainingData(dataframe): def generateTrainingData(dataframe):
columns = ['season','date','home_team','away_team','result_full','home_passes','away_passes', columns = ['season','date','home_team','away_team','result_full','home_passes','away_passes',
'home_possession','away_possession','home_shots','away_shots'] 'home_possession','away_possession','home_shots','away_shots']
@ -10,10 +22,20 @@ def generateTrainingData(dataframe):
def generateFuzzyLogicData(dataframe): def generateFuzzyLogicData(dataframe):
columns = ['season','date','home_team','away_team','result_full','c_home_form_5m','c_away_form_5m',#,'c_home_passes','c_away_passes', columns = ['season','date','home_team','away_team','result_full','c_home_form_5m','c_away_form_5m',#,'c_home_passes','c_away_passes',
# 'c_home_possession','c_away_possession','c_home_shots','c_away_shots', # 'c_home_possession','c_away_possession','c_home_shots','c_away_shots',
'c_home_diff_5m', 'c_away_diff_5m', 'c_home_aggression_5m', 'c_home_diff_5m', 'c_away_diff_5m',"c_home_form_5s",
'c_away_aggression_5m', 'c_home_aggression_season', 'c_away_aggression_season', 'c_away_form_5s','c_home_diff_5s','c_away_diff_5s'
'c_home_form_season','c_away_form_season', , 'c_home_aggression_5m',
'c_home_diff_season', 'c_away_diff_season'] 'c_away_aggression_5m', 'c_away_shots_5m','c_away_shots_5m',
'c_away_shots_5btw', 'c_away_shots_5btw', 'c_away_defence_5m',
'c_away_defence_5m', 'c_away_defence_5btw', 'c_away_defence_5btw',
'c_home_passing_5m', 'c_away_passing_5m', 'c_home_passing_5btw',
'c_away_passing_5btw', 'c_away_aggression_5btw', 'c_away_aggression_5btw'
#'c_home_aggression_season', 'c_away_aggression_season',
# 'c_home_form_season','c_away_form_season',
# 'c_home_diff_season', 'c_away_diff_season'
]
return dataframe[columns] return dataframe[columns]
@ -30,7 +52,7 @@ def last5Matches(season, teamA, data, df):
# Wybierz 5 ostatnich przed daną datą # Wybierz 5 ostatnich przed daną datą
last_before_date = before_given_date.head(5) last_before_date = before_given_date.head(5)
return last_before_date return last_before_date, "_5m"
def last5MatchesBtwTeams(teamA, teamB, data, df): def last5MatchesBtwTeams(teamA, teamB, data, df):
subset = df[(((df['home_team'] == teamA) | (df['away_team'] == teamA)) & ((df['home_team'] == teamB) | (df['away_team'] == teamB)))] subset = df[(((df['home_team'] == teamA) | (df['away_team'] == teamA)) & ((df['home_team'] == teamB) | (df['away_team'] == teamB)))]
@ -38,7 +60,7 @@ def last5MatchesBtwTeams(teamA, teamB, data, df):
before_given_date = before_given_date.sort_values(by='date', ascending=False) before_given_date = before_given_date.sort_values(by='date', ascending=False)
last_before_date = before_given_date.head(5) last_before_date = before_given_date.head(5)
return last_before_date return last_before_date, "_5btw"
def seasonMatches(season, teamA, data, df): def seasonMatches(season, teamA, data, df):
# Wybierz rekordy dla danej pary drużyn i sezonu # Wybierz rekordy dla danej pary drużyn i sezonu
@ -50,7 +72,7 @@ def seasonMatches(season, teamA, data, df):
# Posortuj wg daty w odwrotnej kolejności # Posortuj wg daty w odwrotnej kolejności
before_given_date = before_given_date.sort_values(by='date', ascending=False) before_given_date = before_given_date.sort_values(by='date', ascending=False)
return before_given_date return before_given_date, "_s"
def getResult(score,teamHome): def getResult(score,teamHome):
x,y = score.split('-') x,y = score.split('-')
@ -64,23 +86,23 @@ def getResult(score,teamHome):
else: else:
return "loss" return "loss"
def calculateAggression(matches, team): # def calculateAggression(matches, team):
aggression = 0 # aggression = 0
for index, row in matches.iterrows(): # for index, row in matches.iterrows():
if team == row['home_team']: # if team == row['home_team']:
yellow_cards = row['home_yellow_cards'] # yellow_cards = row['home_yellow_cards']
red_cards = row['home_red_cards'] # red_cards = row['home_red_cards']
else: # else:
yellow_cards = row['away_yellow_cards'] # yellow_cards = row['away_yellow_cards']
red_cards = row['away_red_cards'] # red_cards = row['away_red_cards']
aggression_result = calculateFuzzyAggression(yellow_cards, red_cards) # aggression_result = calculateFuzzyAggression(yellow_cards, red_cards)
#print(aggression_result['aggression']) # #print(aggression_result['aggression'])
aggression = aggression + aggression_result['aggression'] # aggression = aggression + aggression_result['aggression']
if matches.shape[0] != 0: # if matches.shape[0] != 0:
aggression_avg = aggression / matches.shape[0] # aggression_avg = aggression / matches.shape[0]
else: # else:
aggression_avg = 0 # aggression_avg = 0
return aggression_avg # return aggression_avg
def calculatePoints(matches, team): def calculatePoints(matches, team):
points = 0 points = 0
@ -118,4 +140,17 @@ def calculateGoalDifference(matches, team):
goal_diff = goal_diff + (y-x) goal_diff = goal_diff + (y-x)
return goal_diff return goal_diff
def calculateColumn(matches, team, column_name):
result = 0
for index, row in matches.iterrows():
if team == row['home_team']:
column = row[column_name]
else:
column = row[column_name]
result = result + column
if matches.shape[0] != 0:
result_avg = result / matches.shape[0]
else:
result_avg = 0
return result_avg

14
fuzzy.py
View File

@ -10,7 +10,7 @@ FS = FuzzySystem()
# odbiory i wslizgi (xDef) - Michał, ekspert od xDef # odbiory i wslizgi (xDef) - Michał, ekspert od xDef
# statystyki z calego sezonu - Wojtek OK # statystyki z calego sezonu - Wojtek OK
# 5 ostatnich spotkan miedzy druzynami - Witek # 5 ostatnich spotkan miedzy druzynami - Witek
def categorize_fuzzy_passes(passes,possession): def categorizeFuzzyPasses(passes,possession):
FS.set_crisp_output_value("low", 0.0) FS.set_crisp_output_value("low", 0.0)
@ -64,10 +64,10 @@ def categorize_fuzzy_passes(passes,possession):
pass_domination = FS.inference() pass_domination = FS.inference()
return pass_domination return pass_domination['pass_domination']
def categorize_fuzzy_defence(tackles,clearances): def categorizeFuzzyDefence(tackles,clearances):
FS.set_crisp_output_value("low", 0.0) FS.set_crisp_output_value("low", 0.0)
@ -113,9 +113,9 @@ def categorize_fuzzy_defence(tackles,clearances):
defence_actions = FS.inference() defence_actions = FS.inference()
return defence_actions return defence_actions['defence_actions']
def categorize_fuzzy_shots(shots_overall, shots_on_target): def categorizeFuzzyShots(shots_overall, shots_on_target):
FS.set_crisp_output_value("low", 0.0) FS.set_crisp_output_value("low", 0.0)
FS.set_crisp_output_value("average", 0.5) FS.set_crisp_output_value("average", 0.5)
@ -169,7 +169,7 @@ def categorize_fuzzy_shots(shots_overall, shots_on_target):
quality_of_shots = FS.inference() quality_of_shots = FS.inference()
return quality_of_shots return quality_of_shots['quality_of_shots']
def calculateFuzzyAggression(yellow_cards, red_cards): def calculateFuzzyAggression(yellow_cards, red_cards):
FS.set_crisp_output_value("low", 0.0) FS.set_crisp_output_value("low", 0.0)
@ -219,4 +219,4 @@ def calculateFuzzyAggression(yellow_cards, red_cards):
FS.set_variable("red_cards", red_cards) FS.set_variable("red_cards", red_cards)
aggression = FS.inference() aggression = FS.inference()
return aggression return aggression['aggression']

197
main.py
View File

@ -23,17 +23,27 @@ from sklearn.metrics import classification_report
if __name__ == "__main__": if __name__ == "__main__":
df = pd.read_csv('df_full_premierleague.csv') df = pd.read_csv('df_full_premierleague.csv')
result = last5Matches('10/11', 'Stoke City', '2010-10-02', df)
'''
df = pd.read_csv('df_full_premierleague.csv')
result = last5Matches('10/11', 'Stoke City', '2010-10-02', df)[0]
#print(result.to_markdown()) #print(result.to_markdown())
#print(result) #print(result)
result = last5Matches('10/11', 'Blackburn Rovers', '2010-10-02', df) result = last5Matches('10/11', 'Blackburn Rovers', '2010-10-02', df)[0]
#print(result.to_markdown()) #print(result.to_markdown())
#print(result) #print(result)
print(calculatePoints(result,'Blackburn Rovers')) print(calculatePoints(result,'Blackburn Rovers'))
print(calculateGoalDifference(result, 'Blackburn Rovers')) print(calculateGoalDifference(result, 'Blackburn Rovers'))
'''
# df = generateTrainingData(df) # df = generateTrainingData(df)
# df = add_column(df, categorize_passes, "c_away_passes", "away_passes") # df = add_column(df, categorize_passes, "c_away_passes", "away_passes")
# df = add_column(df, categorize_passes, "c_home_passes", "home_passes") # df = add_column(df, categorize_passes, "c_home_passes", "home_passes")
@ -44,22 +54,159 @@ if __name__ == "__main__":
# df = add_column(df, categorize_shots, "c_away_shots", "away_shots") # df = add_column(df, categorize_shots, "c_away_shots", "away_shots")
# df = add_column(df, categorize_shots, "c_home_shots", "home_shots") # df = add_column(df, categorize_shots, "c_home_shots", "home_shots")
# print(df.columns) # print(df.columns)
###############################################################################################
# df = add_column(df, getColumnMethod(df, True, 'home_yellow_cards', seasonMatches), "c_home_yellow_cards_s")
# df = add_column(df, getColumnMethod(df, True, 'away_yellow_cards', seasonMatches), "c_away_yellow_cards_s")
# df = add_column(df, getColumnMethod(df, True, 'home_red_cards', seasonMatches), "c_home_red_cards_s")
# df = add_column(df, getColumnMethod(df, True, 'away_red_cards', seasonMatches), "c_away_red_cards_s")
df = df.sort_values(by='date', ascending=False)
df = add_column(df, getColumnMethod(df, True, 'home_yellow_cards', last5Matches), "c_home_yellow_cards_5m")
df = add_column(df, getColumnMethod(df, False, 'away_yellow_cards', last5Matches), "c_away_yellow_cards_5m")
df = add_column(df, getColumnMethod(df, True, 'home_red_cards', last5Matches), "c_home_red_cards_5m")
df = add_column(df, getColumnMethod(df, False, 'away_red_cards', last5Matches), "c_away_red_cards_5m")
df = add_column(df, getColumnMethod5Btw(df, True, 'home_yellow_cards', last5MatchesBtwTeams),
"c_home_yellow_cards_5btw")
df = add_column(df, getColumnMethod5Btw(df, False, 'away_yellow_cards', last5MatchesBtwTeams),
"c_away_yellow_cards_5btw")
df = add_column(df, getColumnMethod5Btw(df, True, 'home_red_cards', last5MatchesBtwTeams), "c_home_red_cards_5btw")
df = add_column(df, getColumnMethod5Btw(df, False, 'away_red_cards', last5MatchesBtwTeams), "c_away_red_cards_5btw")
###################################################################################################################
# df = add_column(df, getColumnMethod(df, True, 'home_shots', seasonMatches), "c_home_shots_s")
# df = add_column(df, getColumnMethod(df, True, 'away_shots', seasonMatches), "c_away_shots_s")
# df = add_column(df, getColumnMethod(df, True, 'home_shots_on_target', seasonMatches), "c_home_shots_on_target_s")
# df = add_column(df, getColumnMethod(df, True, 'away_shots_on_target', seasonMatches), "c_away_shots_on_target_s")
df = add_column(df, getColumnMethod(df, True, 'home_shots', last5Matches), "c_home_shots_5m")
df = add_column(df, getColumnMethod(df, False, 'away_shots', last5Matches), "c_away_shots_5m")
df = add_column(df, getColumnMethod(df, True, 'home_shots_on_target', last5Matches), "c_home_shots_on_target_5m")
df = add_column(df, getColumnMethod(df, False, 'away_shots_on_target', last5Matches), "c_away_shots_on_target_5m")
df = add_column(df, getColumnMethod5Btw(df, True, 'home_shots', last5MatchesBtwTeams), "c_home_shots")
df = add_column(df, getColumnMethod5Btw(df, False, 'away_shots', last5MatchesBtwTeams), "c_away_shots")
df = add_column(df, getColumnMethod5Btw(df, True, 'home_shots_on_target', last5MatchesBtwTeams),
"c_home_shots_on_target_5btw")
df = add_column(df, getColumnMethod5Btw(df, False, 'away_shots_on_target', last5MatchesBtwTeams),
"c_away_shots_on_target_5btw")
###################################################################################################################################
# df = add_column(df, getColumnMethod(df, True, 'home_tackles', seasonMatches), "c_home_tackles_s")
# df = add_column(df, getColumnMethod(df, True, 'away_tackles', seasonMatches), "c_away_tackles_s")
# df = add_column(df, getColumnMethod(df, True, 'home_clearances', seasonMatches), "c_home_clearances_s")
# df = add_column(df, getColumnMethod(df, True, 'away_clearances', seasonMatches), "c_away_clearances_s")
df = add_column(df, getColumnMethod(df, True, 'home_tackles', last5Matches), "c_home_tackles_5m")
df = add_column(df, getColumnMethod(df, False, 'away_tackles', last5Matches), "c_away_tackles_5m")
df = add_column(df, getColumnMethod(df, True, 'home_clearances', last5Matches), "c_home_clearances_5m")
df = add_column(df, getColumnMethod(df, False, 'away_clearances', last5Matches), "c_away_clearances_5m")
df = add_column(df, getColumnMethod5Btw(df, True, 'home_tackles', last5MatchesBtwTeams), "c_home_tackles_5btw")
df = add_column(df, getColumnMethod5Btw(df, False, 'away_tackles', last5MatchesBtwTeams), "c_away_tackles_5btw")
df = add_column(df, getColumnMethod5Btw(df, True, 'home_clearances', last5MatchesBtwTeams),
"c_home_clearances_5btw")
df = add_column(df, getColumnMethod5Btw(df, False, 'away_clearances', last5MatchesBtwTeams),
"c_away_clearances_5btw")
####################################################################################################################################
# df = add_column(df, getColumnMethod(df, True, 'home_passes', seasonMatches), "c_home_passes_s")
# df = add_column(df, getColumnMethod(df, True, 'away_passes', seasonMatches), "c_away_passes_s")
# df = add_column(df, getColumnMethod(df, True, 'home_possession', seasonMatches), "c_home_possession_s")
# df = add_column(df, getColumnMethod(df, True, 'away_possession', seasonMatches), "c_away_possession_s")
df = add_column(df, getColumnMethod(df, True, 'home_passes', last5Matches), "c_home_passes_5m")
df = add_column(df, getColumnMethod(df, False, 'away_passes', last5Matches), "c_away_passes_5m")
df = add_column(df, getColumnMethod(df, True, 'home_possession', last5Matches), "c_home_possession_5m")
df = add_column(df, getColumnMethod(df, False, 'away_possession', last5Matches), "c_away_possession_5m")
df = add_column(df, getColumnMethod5Btw(df, True, 'home_passes', last5MatchesBtwTeams), "c_home_passes_5btw")
df = add_column(df, getColumnMethod5Btw(df, False, 'away_passes', last5MatchesBtwTeams), "c_away_passes_5btw")
df = add_column(df, getColumnMethod5Btw(df, True, 'home_possession', last5MatchesBtwTeams),
"c_home_possession_5btw")
df = add_column(df, getColumnMethod5Btw(df, False, 'away_possession', last5MatchesBtwTeams),
"c_away_possession_5btw")
# TU
##########################################################################################################################################
df = add_column(df, get_method(df, True, categorize_points, last5Matches), "c_home_form_5m") df = add_column(df, get_method(df, True, categorize_points, last5Matches), "c_home_form_5m")
df = add_column(df, get_method(df, False, categorize_points, last5Matches), "c_away_form_5m") df = add_column(df, get_method(df, False, categorize_points, last5Matches), "c_away_form_5m")
df = add_column(df, get_method(df, True, categorize_diff, last5Matches), "c_home_diff_5m")#categorize_diff df = add_column(df, get_method(df, True, categorize_diff, seasonMatches), "c_home_diff_5m")
df = add_column(df, get_method(df, False, categorize_diff,last5Matches), "c_away_diff_5m") df = add_column(df, get_method(df, False, categorize_diff, seasonMatches), "c_away_diff_5m")
df = add_column(df, get_method(df, True, categorize_aggression, last5Matches), "c_home_aggression_5m")#categorize_diff
df = add_column(df, get_method(df, False, categorize_aggression,last5Matches), "c_away_aggression_5m")
df = add_column(df, get_method(df, True, categorize_points, seasonMatches), "c_home_form_season")
df = add_column(df, get_method(df, False, categorize_points, seasonMatches), "c_away_form_season")
df = add_column(df, get_method(df, True, categorize_diff, seasonMatches), "c_home_diff_season")#categorize_diff df = add_column(df, get_method(df, True, categorize_points_Btw, last5MatchesBtwTeams), "c_home_form_5btw")
df = add_column(df, get_method(df, False, categorize_diff,seasonMatches), "c_away_diff_season") df = add_column(df, get_method(df, False, categorize_points_Btw, last5MatchesBtwTeams), "c_away_form_5btw")
df = add_column(df, get_method(df, True, categorize_aggression, seasonMatches), "c_home_aggression_season")#categorize_diff df = add_column(df, get_method(df, True, categorize_diff_Btw, last5MatchesBtwTeams), "c_home_diff_5btw")
df = add_column(df, get_method(df, False, categorize_aggression,seasonMatches), "c_away_aggression_season") df = add_column(df, get_method(df, False, categorize_diff_Btw, last5MatchesBtwTeams), "c_away_diff_5btw")
df = add_column(df, get_method(df, True, categorize_points, seasonMatches), "c_home_form_5s")
df = add_column(df, get_method(df, False, categorize_points, seasonMatches), "c_away_form_5s")
df = add_column(df, get_method(df, True, categorize_diff, seasonMatches), "c_home_diff_5s")
df = add_column(df, get_method(df, False, categorize_diff, seasonMatches), "c_away_diff_5s")
df.to_csv('df.csv', index=False)
#TU sie zapisuje zbior
rozmiar_partii = 50
for part in podziel_na_partie(df, rozmiar_partii):
part = add_column(part,
getFuzzyMethod(part, calculateFuzzyAggression, True, "c_home_yellow_cards_5m", "c_home_red_cards_5m"),
"c_home_aggression_5m")
part = add_column(part, getFuzzyMethod(part, calculateFuzzyAggression, False, "c_away_yellow_cards_5m",
"c_away_red_cards_5m"), "c_away_aggression_5m")
part = add_column(part, getFuzzyMethod(part, calculateFuzzyAggression, True, "c_home_yellow_cards_5btw",
"c_home_red_cards_5btw"), "c_home_aggression_5btw")
part = add_column(part, getFuzzyMethod(part, calculateFuzzyAggression, False, "c_away_yellow_cards_5btw",
"c_away_red_cards_5btw"), "c_away_aggression_5btw")
part = add_column(part, getFuzzyMethod(part, categorizeFuzzyShots, True, "c_home_shots_5m", "c_home_shots_5m"),
"c_home_shots_5m")
part = add_column(part, getFuzzyMethod(part, categorizeFuzzyShots, False, "c_away_shots_5m", "c_away_shots_5m"),
"c_away_shots_5m")
part = add_column(part, getFuzzyMethod(part, categorizeFuzzyShots, True, "c_home_shots_on_target_5btw",
"c_home_shots_on_target_5btw"), "c_home_shots_5btw")
part = add_column(part, getFuzzyMethod(part, categorizeFuzzyShots, False, "c_away_shots_on_target_5btw",
"c_away_shots_on_target_5btw"), "c_away_shots_5btw")
part = add_column(part, getFuzzyMethod(part, categorizeFuzzyDefence, True, "c_home_tackles_5m", "c_home_clearances_5m"),
"c_home_defence_5m")
part = add_column(part, getFuzzyMethod(part, categorizeFuzzyDefence, False, "c_away_tackles_5m", "c_away_clearances_5m"),
"c_away_defence_5m")
part = add_column(part,
getFuzzyMethod(part, categorizeFuzzyDefence, True, "c_home_tackles_5btw", "c_home_clearances_5btw"),
"c_home_defence_5btw")
part = add_column(part,
getFuzzyMethod(part, categorizeFuzzyDefence, False, "c_away_tackles_5btw", "c_away_clearances_5btw"),
"c_away_defence_5btw")
part = add_column(part, getFuzzyMethod(part, categorizeFuzzyPasses, True, "c_home_passes_5m", "c_home_possession_5m"),
"c_home_passing_5m")
part = add_column(part, getFuzzyMethod(part, categorizeFuzzyPasses, False, "c_away_passes_5m", "c_away_possession_5m"),
"c_away_passing_5m")
part = add_column(part, getFuzzyMethod(part, categorizeFuzzyPasses, True, "c_home_passes_5btw", "c_home_possession_5btw"),
"c_home_passing_5btw")
part = add_column(part,
getFuzzyMethod(part, categorizeFuzzyPasses, False, "c_away_passes_5btw", "c_away_possession_5btw"),
"c_away_passing_5btw")
zapisz_do_csv("df_parts", part)
df = generateFuzzyLogicData(df) df = generateFuzzyLogicData(df)
@ -86,8 +233,26 @@ if __name__ == "__main__":
print(f'Dokładność modelu: {accuracy}') print(f'Dokładność modelu: {accuracy}')
print(classification_report(y_test, y_pred)) print(classification_report(y_test, y_pred))
result = last5Matches('10/11', 'Manchester United', '2010-12-16', df)
print(calculatePoints(result,'Manchester United'))
print(calculateGoalDifference(result, 'Manchester United'))
print(categorize_fuzzy_passes(450,50)) #print(categorize_fuzzy_passes(450,50))
#df.to_csv('df.csv', index=False)
# df = add_column(df, get_method(df, True, categorize_aggression, last5Matches), "c_home_aggression_5m")#categorize_diff
# df = add_column(df, get_method(df, False, categorize_aggression,last5Matches), "c_away_aggression_5m")
# df = add_column(df, get_method(df, True, categorize_points, seasonMatches), "c_home_form_season")
# df = add_column(df, get_method(df, False, categorize_points, seasonMatches), "c_away_form_season")
#df = add_column(df, get_method(df, True, categorize_diff, seasonMatches), "c_home_diff_season")#categorize_diff
# df = add_column(df, get_method(df, False, categorize_diff,seasonMatches), "c_away_diff_season")
# df = add_column(df, get_method(df, True, categorize_aggression, seasonMatches), "c_home_aggression_season")#categorize_diff
# df = add_column(df, get_method(df, False, categorize_aggression,seasonMatches), "c_away_aggression_season")
#df = add_column(df, get_method(df, True, categorize_points, last5MatchesBtwTeams), "c_home_form_5btw")
#df = add_column(df, get_method(df, False, categorize_points, last5MatchesBtwTeams), "c_away_form_5btw")
#df = add_column(df, get_method(df, True, categorize_diff, last5MatchesBtwTeams), "c_home_diff_5btw")#categorize_diff
#df = add_column(df, get_method(df, False, categorize_diff,last5MatchesBtwTeams), "c_away_diff_5btw")

114
rules.py
View File

@ -28,10 +28,10 @@ def categorize_possesion(shots):
def categorize_points(data, row, teamHome, matches_type): def categorize_points(data, row, teamHome, matches_type):
if teamHome: if teamHome:
data_5 = matches_type(row['season'], row['home_team'], row['date'], data) data_5 = matches_type(row['season'], row['home_team'], row['date'], data)[0]
points = calculatePoints(data_5,row['home_team']) points = calculatePoints(data_5,row['home_team'])
else: else:
data_5 = matches_type(row['season'], row['away_team'], row['date'], data) data_5 = matches_type(row['season'], row['away_team'], row['date'], data)[0]
points = calculatePoints(data_5,row['away_team']) points = calculatePoints(data_5,row['away_team'])
if points <=1: if points <=1:
return 0 return 0
@ -40,12 +40,30 @@ def categorize_points(data, row, teamHome, matches_type):
else: else:
return 1 return 1
def categorize_points_Btw(data, row, teamHome, matches_type):
if teamHome:
data_5 = matches_type(row['home_team'], row['away_team'], row['date'], data)[0]
points = calculatePoints(data_5,row['home_team'])
else:
data_5 = matches_type(row['home_team'], row['away_team'], row['date'], data)[0]
points = calculatePoints(data_5,row['away_team'])
if points <=1:
return 0
elif points >=2:
return 2
else:
return 1
def get_method(data, home_away, method, matches_type): def get_method(data, home_away, method, matches_type):
values = [] values = []
for index, row in data.iterrows(): for index, row in data.iterrows():
values.append(method(data, row, home_away, matches_type)) values.append(method(data, row, home_away, matches_type))
return values return values
def get_points_home(data): def get_points_home(data):
points = [] points = []
for index, row in data.iterrows(): for index, row in data.iterrows():
@ -65,28 +83,53 @@ def get_points_away(data):
def categorize_diff(data, row, teamHome, matches_type): def categorize_diff(data, row, teamHome, matches_type):
if teamHome: if teamHome:
data_5 = matches_type(row['season'], row['home_team'], row['date'], data) data_5 = matches_type(row['season'], row['home_team'], row['date'], data)[0]
diff = calculateGoalDifference(data_5,row['home_team']) diff = calculateGoalDifference(data_5,row['home_team'])
else: else:
data_5 = matches_type(row['season'], row['away_team'], row['date'], data) data_5 = matches_type(row['season'], row['away_team'], row['date'], data)[0]
diff = calculateGoalDifference(data_5,row['away_team']) diff = calculateGoalDifference(data_5,row['away_team'])
if diff <=0: if diff <=0:
return 0 return 0
else: else:
return 1 return 1
def categorize_aggression(data, row, teamHome, matches_type): def categorize_diff_Btw(data, row, teamHome, matches_type):
if teamHome: if teamHome:
data_5 = matches_type(row['season'], row['home_team'], row['date'], data) data_5 = matches_type(row['home_team'], row['away_team'], row['date'], data)[0]
diff = calculateAggression(data_5,row['home_team']) diff = calculateGoalDifference(data_5,row['home_team'])
else: else:
data_5 = matches_type(row['season'], row['away_team'], row['date'], data) data_5 = matches_type(row['home_team'], row['away_team'], row['date'], data)[0]
diff = calculateAggression(data_5,row['away_team']) diff = calculateGoalDifference(data_5,row['away_team'])
return diff if diff <=0:
# if diff <=0: return 0
# return 0 else:
# else: return 1
# return 1
def categorize_diff(data, row, teamHome, matches_type):
if teamHome:
data_5 = matches_type(row['season'], row['home_team'], row['date'], data)[0]
diff = calculateGoalDifference(data_5,row['home_team'])
else:
data_5 = matches_type(row['season'], row['away_team'], row['date'], data)[0]
diff = calculateGoalDifference(data_5,row['away_team'])
if diff <=0:
return 0
else:
return 1
# def categorize_aggression(data, row, teamHome, matches_type):
# if teamHome:
# data_5 = matches_type(row['season'], row['home_team'], row['date'], data)
# diff = calculateAggression(data_5,row['home_team'])
# else:
# data_5 = matches_type(row['season'], row['away_team'], row['date'], data)
# diff = calculateAggression(data_5,row['away_team'])
# return diff
# # if diff <=0:
# # return 0
# # else:
# # return 1
def get_diff_home(data): def get_diff_home(data):
points = [] points = []
for index, row in data.iterrows(): for index, row in data.iterrows():
@ -119,3 +162,46 @@ def get_result_list(df, home_team):
for score in df['result_full']: for score in df['result_full']:
results.append(getResult(score,home_team)) results.append(getResult(score,home_team))
return results return results
def getColumnMethod(data, home_away, column, matches_type):
values = []
for index, row in data.iterrows():
values.append(getColumnByMatches(data, row, home_away, matches_type,column))
return values
def getColumnMethod5Btw(data, home_away, column, matches_type):
values = []
for index, row in data.iterrows():
values.append(getColumnByMatches5Btw(data, row, home_away, matches_type,column))
return values
def getFuzzyMethod(data, method, home_away, frist_column, second_column):
values = []
for index, row in data.iterrows():
values.append(getFuzzyByMatches(method, row, home_away, frist_column, second_column))
return values
def getColumnByMatches(data, row, teamHome, matches_type, column):
if teamHome:
data_5, end = matches_type(row['season'], row['home_team'], row['date'], data)
result = calculateColumn(data_5, row['home_team'], column)
else:
data_5, end = matches_type(row['season'], row['away_team'], row['date'], data)
result = calculateColumn(data_5, row['away_team'], column)
return result
def getColumnByMatches5Btw(data, row, teamHome, matches_type, column):
if teamHome:
data_5, end = last5MatchesBtwTeams(row['home_team'], row['away_team'], row['date'], data)
result = calculateColumn(data_5, row['home_team'], column)
else:
data_5, end = matches_type(row['home_team'], row['away_team'], row['date'], data)
result = calculateColumn(data_5, row['away_team'], column)
return result
def getFuzzyByMatches(method, row, teamHome, frist_column, second_column):
if teamHome:
result = method(row[frist_column], row[second_column])
else:
result = method(row[frist_column], row[second_column])
return result