If the data look like:
Store,Dept,Date,Weekly_Sales,IsHoliday
1,1,2010-02-05,24924.5,FALSE
1,1,2010-02-12,46039.49,TRUE
1,1,2010-02-19,41595.55,FALSE
1,1,201
This is an old question, but since it still comes up at the top of my results in Google, here's another way.
import pandas as pd
import numpy as np
df = pd.DataFrame({'col1':list("abc"),'col2':range(3)},index = range(3))
Say you want to replicate the rows where col1="b".
reps = [3 if val=="b" else 1 for val in df.col1]
df.loc[np.repeat(df.index.values, reps)]
You could replace the 3 if val=="b" else 1
in the list interpretation with another function that could return 3 if val=="b" or 4 if val=="c" and so on, so it's pretty flexible.