How can I convert columns to rows in Pandas?

Question

I have something like this:

Values     Time
  22        0
  45        1
  65        2
  78        0
  12        1
  45        2

and I want this

Answer 1

This is pivot creating the index with cumcount

df['idx'] = 'Val' + (df.groupby('Time').cumcount()+1).astype(str)
df.pivot(index='idx', columns='Time', values='Values').rename_axis(None)

Output:

Time   0   1   2
Val1  22  45  65
Val2  78  12  45