具有一列的数据框，每一行都是一个值列表

Question

我有一个像这样的熊猫数据框：

         name     favourite_fruits                     votes
0         A          banana                       [5, 0, 5, 0, 5]
1         B          orange                          [5, 0, 5]
2         C          peach                              [5]

我需要将“投票”列转换为：

         name     favourite_fruits                     vote1 vote2 vote3 vote4 vote5
0         A          banana                              5     0     5     0     5
1         B          orange                              5     0     5
2         C          peach                               5

我怎么能这样做？ 提前感谢您的回答。

Answer 1

尝试：

#explode to split list into individual rows
df = df.explode("votes")

#groupby and cumcount to get the total votes per index
df["column"] = df.groupby(level=0).cumcount().add(1)

#pivot to get the expected output
output = df.pivot(["name","favourite_fruits"],"column","votes").add_prefix("vote").rename_axis(None,axis=1).reset_index()

>>> output
  name favourite_fruits vote1 vote2 vote3 vote4 vote5
0    A           banana     5     0     5     0     5
1    B           orange     5     0     5   NaN   NaN
2    C            peach     5   NaN   NaN   NaN   NaN

Answer 2

这是另一种方法：

result = pd.concat(
    [df[["name", "favourite_fruits"]],
     pd.DataFrame(lst for lst in df["votes"]).rename(columns=lambda n: f"vote{n + 1}")],
    axis=1
)