Filling in a zero for all empty time bins for each cluster (region) as part of an ambulance response/posting analysis

I have a my data from an agencies ambulance responses. I have created clusters for locations they respond from and created time bins to divide the time into manageable bins. I then grouped the data by cluster and then by bin and have the number of incident per cluster per bin aggregated into a column as well. I need to fill in zeros for all the time bins where no incidents occurred in the incident count column. I have tried a nested for loop with an if else to make it work. It runs too slowly and I am trying to find a way to switch to a nested list comprehension with the if else statements.

count_values = ers_bin_groupby['no_of_incidents'].values

vals = ers_unique 

"ers_unique" is a list of all the unique time bins for each cluster

def fill_missing(count_values,vals):
smoothed_regions=[]
ind=0  # ind iterates over count_values only
for p in range(0,posts):
    smoothed_bins=[]
    for i in range(max(minute_bin_create_times)):
        if i in vals[p]:
            smoothed_bins.append(count_values[ind])
            ind+=1
        else:
            smoothed_bins.append(0)
    smoothed_regions.extend(smoothed_bins)
    print(p)
return smoothed_regions

This is my attempt at a list comprehension with if statement

def fill_missing2(count_values, vals):
   smoothed_regions = []
   ind = 0   #ind iterates over count_values only
   smoothed_regions =[[count_values[ind] ind+=1 if i in vals[p] else 0 
                  for i in range(max(minute_bin_create_times))] 
                  for p in range(0,posts)]

I can't figure out if I still need the "ind+=1" to make it progress through the count_values

Here is an example of the groupby data I am working with there are 20 posts and over 500,000 time bins

 post_area  time_bin    
 0             7      1
               59     1
               104    1
               113    1
               117    1
               147    1
               249    1
               255    1

This is an example of the ers_unique list [[7, 59, 104, 113, 117, 147, 249, 255, 277, 283, 292, 310, 312, 358, 393, 406, 480, 537, 550, 553, 622,