How to reshape dataframe if they have same index?

Question

If I have a dataframe like

df= pd.DataFrame([\'a\',\'b\',\'c\',\'d\'],index=[0,0,1,1])

   0
0  a
0  b
1  c
1  d

How can I re

Answer 1

You can use pivot with cumcount :

a = df.groupby(level=0).cumcount()
df = pd.pivot(index=df.index, columns=a, values=df[0])

Answer 2

Couple of ways

1.

In [490]: df.groupby(df.index)[0].agg(lambda x: list(x)).apply(pd.Series)
Out[490]:
   0  1
0  a  b
1  c  d

2.

In [447]: df.groupby(df.index).apply(lambda x: pd.Series(x.values.tolist()).str[0])
Out[447]:
   0  1
0  a  b
1  c  d

3.

In [455]: df.assign(i=df.index, c=df.groupby(level=0).cumcount()).pivot('i', 'c', 0)
Out[455]:
c  0  1
i
0  a  b
1  c  d

to remove names

In [457]: (df.assign(i=df.index, c=df.groupby(level=0).cumcount()).pivot('i', 'c', 0)
           .rename_axis(None).rename_axis(None, 1))
Out[457]:
   0  1
0  a  b
1  c  d

Answer 3

Let's use set_index, groupby, cumcount, and unstack:

df.set_index(df.groupby(level=0).cumcount(), append=True)[0].unstack()

Output:

   0  1
0  a  b
1  c  d