问题

这是您要翻译的表格：

player	team	opp	wl_g	game_id	match_id
Laz	ZETA	DRX	lose	119512	184456
TENNN	ZETA	DRX	lose	119512	184456
MaKo	DRX	ZETA	win	119512	184456
Foxy9	DRX	ZETA	win	119512	184456
Laz	ZETA	DRX	win	119513	184456
TENNN	ZETA	DRX	win	119513	184456
MaKo	DRX	ZETA	lose	119513	184456
Foxy9	DRX	ZETA	lose	119513	184456
Laz	ZETA	DRX	lose	119514	184456
TENNN	ZETA	DRX	lose	119514	184456
MaKo	DRX	ZETA	win	119514	184456
Foxy9	DRX	ZETA	win	119514	184456

您需要在基于"wl_g"列的值相同的每个"match_id"上创建一个新列"wl_s"，当"wl_g"列中的值为"win"时，"wl_s"列中的值应该相同。以下是您要的表格：

player	team	opp	wl_g	game_id	match_id	wl_s
Laz	ZETA	DRX	lose	119512	184456	lose
TENNN	ZETA	DRX	lose	119512	184456	lose
MaKo	DRX	ZETA	win	119512	184456	win
Foxy9	DRX	ZETA	win	119512	184456	win
Laz	ZETA	DRX	win	119513	184456	lose
TENNN	ZETA	DRX	win	119513	184456	lose
MaKo	DRX	ZETA	lose	119513	184456	win
Foxy9	DRX	ZETA	lose	119513	184456	win
Laz	ZETA	DRX	win	119514	184456	lose
TENNN	ZETA	DRX	win	119514	184456	lose
MaKo	DRX	ZETA	lose	119514	184456	win
Foxy9	DRX	ZETA	lose	119514	184456	win

英文:

here's my table

player	team	opp	wl_g	game_id	match_id
Laz	ZETA	DRX	lose	119512	184456
TENNN	ZETA	DRX	lose	119512	184456
MaKo	DRX	ZETA	win	119512	184456
Foxy9	DRX	ZETA	win	119512	184456
Laz	ZETA	DRX	win	119513	184456
TENNN	ZETA	DRX	win	119513	184456
MaKo	DRX	ZETA	lose	119513	184456
Foxy9	DRX	ZETA	lose	119513	184456
Laz	ZETA	DRX	lose	119514	184456
TENNN	ZETA	DRX	lose	119514	184456
MaKo	DRX	ZETA	win	119514	184456
Foxy9	DRX	ZETA	win	119514	184456

and i need to make a column based on wl_g column with same each value on match_id, im expecting to get value for new colum wl_s(a.k.a win lose for each match_id) when win on wl_g column = 2, is equal value win on wl_s column . Here's the table that i want

player	team	opp	wl_g	game_id	match_id	wl_s
Laz	ZETA	DRX	lose	119512	184456	lose
TENNN	ZETA	DRX	lose	119512	184456	lose
MaKo	DRX	ZETA	win	119512	184456	win
Foxy9	DRX	ZETA	win	119512	184456	win
Laz	ZETA	DRX	win	119513	184456	lose
TENNN	ZETA	DRX	win	119513	184456	lose
MaKo	DRX	ZETA	lose	119513	184456	win
Foxy9	DRX	ZETA	lose	119513	184456	win
Laz	ZETA	DRX	win	119514	184456	lose
TENNN	ZETA	DRX	win	119514	184456	lose
MaKo	DRX	ZETA	lose	119514	184456	win
Foxy9	DRX	ZETA	lose	119514	184456	win

答案1

得分: 1

将"wl_g"和"match_id"列作为基础，添加"wl_s"列：

data = {
    "player": ["Laz", "TENNN", "MaKo", "Foxy9", "Laz", "TENNN", "MaKo", "Foxy9", "Laz", "TENNN", "MaKo", "Foxy9"],
    "team": ["ZETA", "ZETA", "DRX", "DRX", "ZETA", "ZETA", "DRX", "DRX", "ZETA", "ZETA", "DRX", "DRX"],
    "opp": ["DRX", "DRX", "ZETA", "ZETA", "DRX", "DRX", "ZETA", "ZETA", "DRX", "DRX", "ZETA", "ZETA"],
    "wl_g": ["lose", "lose", "win", "win", "win", "win", "lose", "lose", "lose", "lose", "win", "win"],
    "game_id": [119512, 119512, 119512, 119512, 119513, 119513, 119513, 119513, 119514, 119514, 119514, 119514],
    "match_id": [184456, 184456, 184456, 184456, 184456, 184456, 184456, 184456, 184456, 184456, 184456, 184456]
}

df = pd.DataFrame(data)

df["wl_s"] = df.groupby("match_id")["wl_g"].transform(lambda x: "win" if (x == "win").any() else "lose")

# 打印结果DataFrame
print(df)

英文:

Add the "wl_s" column based on "wl_g" and "match_id"

data = {
    &quot;player&quot;: [&quot;Laz&quot;, &quot;TENNN&quot;, &quot;MaKo&quot;, &quot;Foxy9&quot;, &quot;Laz&quot;, &quot;TENNN&quot;, &quot;MaKo&quot;, &quot;Foxy9&quot;, &quot;Laz&quot;, &quot;TENNN&quot;, &quot;MaKo&quot;, &quot;Foxy9&quot;],
    &quot;team&quot;: [&quot;ZETA&quot;, &quot;ZETA&quot;, &quot;DRX&quot;, &quot;DRX&quot;, &quot;ZETA&quot;, &quot;ZETA&quot;, &quot;DRX&quot;, &quot;DRX&quot;, &quot;ZETA&quot;, &quot;ZETA&quot;, &quot;DRX&quot;, &quot;DRX&quot;],
    &quot;opp&quot;: [&quot;DRX&quot;, &quot;DRX&quot;, &quot;ZETA&quot;, &quot;ZETA&quot;, &quot;DRX&quot;, &quot;DRX&quot;, &quot;ZETA&quot;, &quot;ZETA&quot;, &quot;DRX&quot;, &quot;DRX&quot;, &quot;ZETA&quot;, &quot;ZETA&quot;],
    &quot;wl_g&quot;: [&quot;lose&quot;, &quot;lose&quot;, &quot;win&quot;, &quot;win&quot;, &quot;win&quot;, &quot;win&quot;, &quot;lose&quot;, &quot;lose&quot;, &quot;lose&quot;, &quot;lose&quot;, &quot;win&quot;, &quot;win&quot;],
    &quot;game_id&quot;: [119512, 119512, 119512, 119512, 119513, 119513, 119513, 119513, 119514, 119514, 119514, 119514],
    &quot;match_id&quot;: [184456, 184456, 184456, 184456, 184456, 184456, 184456, 184456, 184456, 184456, 184456, 184456]
}

df = pd.DataFrame(data)


df[&quot;wl_s&quot;] = df.groupby(&quot;match_id&quot;)[&quot;wl_g&quot;].transform(lambda x: &quot;win&quot; if (x == &quot;win&quot;).any() else &quot;lose&quot;)

# Print the resulting DataFrame
print(df)

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