Shuffle rows by a column in pandas

Question

I have the following example of dataframe.

    c1     c2
0   1       a
1   2       b
2   3       c
3   4       d
4   5       e

Given a template

Answer 1

merge

You can create a dataframe with the column specified in the wanted order then merge.
One advantage of this approach is that it gracefully handles duplicates in either df.c1 or the list c1. If duplicates not wanted then care must be taken to handle them prior to reordering.

d1 = pd.DataFrame({'c1': c1})

d1.merge(df)

   c1 c2
0   3  c
1   2  b
2   5  e
3   4  d
4   1  a

---

searchsorted

This is less robust but will work if df.c1 is:

• already sorted
• one-to-one mapping

---

df.iloc[df.c1.searchsorted(c1)]

   c1 c2
2   3  c
1   2  b
4   5  e
3   4  d
0   1  a