[英]Pandas pivot dataframe with unequal columns
I have a dataframe containing a categorical variable in one column and a continuous variable in another column like so: 我有一个数据框,在一列中包含一个分类变量,在另一列中包含一个连续变量,如下所示:
gender contVar
Male 22379
Female 24523
Female 23421
Male 23831
Male 29234
I want to get a table like so: 我想得到一张这样的桌子:
Male Female
22379 24523
23831 23421
23831
29234
Is this possible in pandas? 大熊猫有可能吗? When I do:
当我做:
df.pivot(index = df.index.tolist(), columns='gender', values='contVar')
I get that the index is out of bounds (obviously since there arent rows as there are indices but I also presume that its because the number of rows in each column are not equal). 我得到索引超出范围(显然因为有索引但是我也假定它是因为每列中的行数不相等)。 Any ideas are appreciated.
任何想法都表示赞赏。
You can do: 你可以做:
pd.concat([pd.DataFrame({g:d.contVar.tolist()}) for g,d in df.groupby('gender')], axis=1)
Out[416]:
Female Male
0 24523 22379
1 23421 23831
2 NaN 29234
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