我想旋转一个在一列中具有重复值的数据框,以在新列中显示关联值,如下例所示。从 Pandas 文档中我无法弄清楚如何从这里开始......
name car model
rob mazda 626
rob bmw 328
james audi a4
james VW golf
tom audi a6
tom ford focus
为此...
name car_1 model_1 car_2 model_2
rob mazda 626 bmw 328
james audi a4 VW golf
tom audi a6 ford focus
最佳答案
x = df.groupby('name')['car','model'] \
.apply(lambda x: pd.DataFrame(x.values.tolist(),
columns=['car','model'])) \
.unstack()
x.columns = ['{0[0]}_{0[1]}'.format(tup) for tup in x.columns]
结果:
In [152]: x
Out[152]:
car_0 car_1 model_0 model_1
name
james audi VW a4 golf
rob mazda bmw 626 328
tom audi ford a6 focus
如何对列进行排序:
In [157]: x.loc[:, x.columns.str[::-1].sort_values().str[::-1]]
Out[157]:
model_0 car_0 model_1 car_1
name
james a4 audi golf VW
rob 626 mazda 328 bmw
tom a6 audi focus ford
关于python - Pandas:使用重复值进行透视,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/43764983/