Reshape dataframe to dataframe with unlimited rows and filling zeroes where no values

Question

Is there a way to reshape DataFrame to another with unrestricted rows. I just want a DataFrame with 3 columns, no matter how many rows is going to be in DataFrame?

F

Answer 1

Use:

df = (pd.DataFrame(letters.groupby(letters.index // 3)['Letters']
                          .apply(list)
                          .values
                          .tolist(), columns=['first','second','third']).fillna(0))

print (df)
  first second third
0     A      B     C
1     D      E     F
2     G      H     I
3     J      0     0