For DataFrame that you have already created, you would like to include the appropriate values under certain conditions in the new column that you are adding.
This time, I brought the data of the game tournament, and the method of the game's match is
First set: 2 people vs 2 people battle (win 2 first)
2nd set: 1 person vs 1 person battle (2 wins first)
3rd set: 1 person vs 1 person battle (If you destroy the opponent with 3 people remaining, you win)
It says 2 sets first to win the game.
The data frame df already has columns like match, set, game, game winner, team1 and team2 in the data frame.
↓Current data frame
print(df)
# match #set #game #gamewinner #team1 #team2
#1 1 1 1 1 A B
# 2 1 2 1 A B
# 3 1 2 1 2 A B
# 4 1 2 2 1 A B
# 5 1 2 3 2 A B
# 6 1 3 1 A B
# 7 1 3 2 A B
# 8 1 3 3 1 AB
# 9 1 3 4 1 AB
# 10 2 1 1 2 CD
...continued
I would like to add a new column called setwinner, matchwinner to this data frame so that one line can tell who won the whole set/match.
↓Image you want to do
print(df)
# match #set #game #gamewinner #team1 #team2 #setwinner #matchwinner
#1 1 1 1 1 AB 11
# 2 1 2 1 AB 11
# 3 1 2 1 2 AB 21
# 4 1 2 2 1 AB 21
# 5 1 2 3 2 AB 21
# 6 1 3 1 1 AB 11
# 7 1 3 2 2 AB 11
# 8 1 3 3 1 AB 11
# 9 1 3 4 1 AB 11
# 10 2 1 1 2 CD 21
I have to use the information in the front and back lines to do it, so I don't know how to implement what I want to do.
I was able to implement what I could do without looking at other lines of information, but I didn't understand other cases.
#If you get tangled up to 3 games in the 1st and 2nd sets, the winner of the 3rd game is the winner of the set.
df.loc [(df["game"]==3)&(df["set"]!=3), "setwinner"]=df["gamewinner"]
I look forward to hearing from you.
https://teratail.com/questions/192733 I asked the same question on this site, but there was no answer, so I am writing to you because I think some of you might understand it on this bulletin board.
python pandas
After adding a column representing the winning team name for each game, you can use groupby and max to get the most winning team names.
defgetTeam(row):
if row ["gamewinner"] == 1:
return row ["team1"]
return row ["team2"]
df["gamewinnerteam"] = df.apply(getTeam,axis=1)
setwinner=df.groupby(["match", "set"]).gamewinnerteam.max()
matchwinner=setwinner.groupby("match").max()
You can do the rest by substituting the setwinner, matchwinner for each line.
# Example
df["setwinnerteam"] = df.apply (lambda row:setwinner [row["match"], row["set"]], axis=1)
However, setwinner, matchwinner may be sufficient because storing them in each line is redundant for some purposes.
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