I have a dictionary of list which is like -

from collections import defaultdict
defaultdict(list,{'row1': ['Affinity'],'row2': ['Ahmc','Garfield','Medical Center'],'row3': ['Alamance','Macbeth'],'row4': [],'row5': ['Mayday']})

I want to convert this to a data frame. The output should look like-

ID  SYN1    SYN2    SYN3    SYN4    SYN5
row1    Affinity                
row2    Ahmc    Garfield    Medical Center      
row3    Alamance    Macbeth         
row4                    
row5    Mayday

collections.defaultdict is a subclass of dict.

So you can just use pd.DataFrame.from_dict:

res = pd.DataFrame.from_dict(dd, orient='index')
res.columns = [f'SYN{i+1}' for i in res]print(res)SYN1      SYN2            SYN3
row1  Affinity      None            None
row2      Ahmc  Garfield  Medical Center
row3  Alamance   Macbeth            None
row4      None      None            None
row5    Mayday      None            None