Replicating rows in a pandas data frame by a column value

Question

I want to replicate rows in a Pandas Dataframe. Each row should be repeated n times, where n is a field of each row.

import pandas as pd

what_i_have = pd.D         


        

Answer 1

Not the best solution, but I want to share this: you could also use pandas.reindex() and .repeat():

df.reindex(df.index.repeat(df.n)).drop('n', axis=1)

Output:

   id   v
0   A   10
1   B   13
1   B   13
2   C   8
2   C   8
2   C   8

You can further append .reset_index(drop=True) to reset the .index.