Fill in zeros for variable in pandas dataframe without group by values

Question

My dataframe looks like this:

column1	sum_count
1	10
3	2
5	1

However, there are 5 values in column1 (1-5). I would like to fill in 0s for values that do not have a sum_count like this:

column1	sum_count
1	10
2	0
3	2
4	0
5	1

How would I do this?

Answer 1

can use the .reindex facility but "column1" needs to go to index and come back:

In [154]: (df.set_index("column1")
     ...:    .reindex(range(1, 5 + 1), fill_value=0)
     ...:    .reset_index())
Out[154]:
   column1  sum_count
0        1         10
1        2          0
2        3          2
3        4          0
4        5          1

for dynamism in 1 and 5:

• 1 is df.column1.iat[0] , 5 is df.column1.iat[-1] OR
• df.column1.iloc[[0, -1]] to get both with one expr OR
• 1 is df.column1.min() , 5 is df.column1.max()