katerberg
commented
2 years ago Luca has provided some python code that should make this a good start:
import math as Math
# dictionary format is {card:date, ...}, where the cards can be either integer representation or strings, and date has to be in a integer date format
legal_dict = {0:10, 1:10, 2:10, 3:10, 4:10, 5:10, 6:10, 7:10, 8:10, 9:10, 10:10, 11:10, 12:10, 13:10, 14:10, 15:10, 16:20, 17:20, 18:20, 19:20, 20:20}
# list format is [[date, pick1, pick2, ...], ...] where picks is in the same format as the card field in legal_dict
draft_list = [
[15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],
[17, 0, 3, 2, 1, 4, 7, 9, 14, 5, 6, 8, 10, 11, 12, 13, 15],
[25, 0, 1, 3, 2, 16, 4, 7, 5, 6, 8, 17, 18, 19, 20, 14, 15]
]
deck_list = []
pick_dict = {}
pickable_dict = {}
comorbidity_dict = {}
weighted_dict = {}
def is_legal(cardnumber, date):
legal_date = legal_dict[cardnumber]
return (date >= legal_date)
#0) populate legal_dict with cards as keys whose entries is the card's legality date
#TODO
#1) populate draft_list with lists containing date followed by picks in a draft
#TODO
#2) populate deck_list with lists containing date followed by picks, but for each deck instead of for each draft
for draft in draft_list:
decks = [
draft[0:1], #insert first item, date, as first item in the decks
draft[0:1],
draft[0:1],
draft[0:1],
draft[0:1],
draft[0:1],
draft[0:1],
draft[0:1]
]
for picknumber, pick in enumerate(draft[1:]): # use [1:] in order to not include date
player = (picknumber % 16) if (picknumber % 16) < 8 else 15-(picknumber % 16) #0 to 7, then 7 back to 0, over and over again
decks[player].append(pick)
deck_list.extend(decks) #add calculated decks to list of all decks
#3) populate pick_dict with cards as keys whose entries are dictionaries, with cards picked alongside the key card as keys whose entries are number of times picked
for deck in deck_list:
for card in deck[1:]: # use [1:] in order to not include date
if card in pick_dict:
for other_card in deck[1:]:
if other_card == card:
continue
elif other_card in pick_dict[card]:
pick_dict[card][other_card] += 1
else:
pick_dict[card][other_card] = 1
pickable_dict[card][other_card] = 0 #setup for step 4)
comorbidity_dict[card][other_card] = 0.0 #setup for step 5)
weighted_dict[card][other_card] = 0.0 #setup for step 6)
else:
pick_dict[card] = {}
pickable_dict[card] = {} #setup for step 4)
comorbidity_dict[card] = {} #setup for step 5)
weighted_dict[card] = {} #setup for step 6)
for other_card in deck[1:]:
if other_card == card:
continue
else:
pick_dict[card][other_card] = 1
pickable_dict[card][other_card] = 0 #setup for step 4)
comorbidity_dict[card][other_card] = 0.0 #setup for step 5)
weighted_dict[card][other_card] = 0.0 #setup for step 6)
#4) populate pickable_dict with cards as keys whose entries are dictionaries, with cards picked alongside the key card as keys whose entries are number of times pickable
for card in pickable_dict:
for deck in deck_list:
if card in deck[1:]: # use [1:] in order to not include date
for other_card in pickable_dict[card]:
if is_legal(other_card, deck[0]): # check if card was legal at the date
pickable_dict[card][other_card] += 1
#5) populate comorbidity_dict with pick_dict / pickable_dict
#6) populate weighted_dict with Lower Bound Wilson Score
z = 1.96
for card in comorbidity_dict:
for other_card in comorbidity_dict[card]:
comorbidity_dict[card][other_card] = phat = float( pick_dict[card][other_card] ) / pickable_dict[card][other_card]
n = pickable_dict[card][other_card]
# OBS! Weighted value not for displaying as a number, only use for determining order for which to display cards
weighted_dict[card][other_card] = ( phat + z*z/(2*n) - z*Math.sqrt( (phat*(1-phat) + z*z/(4*n))/n) ) / (1+z*z/n)
#?) Print data, #TODO: Replace this with write to file or database
print("Picks")
print(pick_dict)
print("Pickables")
print(pickable_dict)
print("Comorbidities")
print(comorbidity_dict)
print("Weights")
print(weighted_dict)
print("--------")
luca0483
Enter a card and see the cards most commonly drafted with it (taking into account ratio)