converting print statement output in loop into dataframe

Question

I am trying to adapt the following code from print statement to dataframe output.

places = ['England UK','Paris FRANCE','ITALY,gh ROME','New']  
location=['UK','FRANCE','ITALY']

def on_occurence(pos,location):
   print (i,':',location)
   
root = aho_create_statemachine(location)

for i in places:
  aho_find_all(i, root, on_occurence)

the print output for the above code is

England UK : UK

Paris FRANCE : FRANCE

ITALY,gh ROME : ITALY

I would like it so the df looked like:

message	country
England UK	UK
Paris FRANCE	FRANCE
ITALY,gh ROME	ITALY

I have tried the following with no luck

places = ['England UK','Paris FRANCE','ITALY,gh ROME','New']  
location=['UK','FRANCE','ITALY']

df = pd.DataFrame(columns=["message","location"])
def on_occurence(pos,location):
   print (i,':',location)
df = df.append({"message":i,"location":location},ignore_index=True)

root = aho_create_statemachine(location)

for i in places:
  aho_find_all(i, root, on_occurence)

However the df looks like the following

message	country
NEW	UK FRANCE ITALY

Answer 1

 df = pd.DataFrame(list(zip(places, location)), columns = ["Message", "Country"])
 print(df)

My output:

         Message Country
0     England UK      UK
1   Paris FRANCE  FRANCE
2  ITALY,gh ROME   ITALY

If you want to print it without Row Index:

print(df.to_string(index=False))

Output in this case is:

   Message Country
England UK      UK
Paris FRANCE  FRANCE
ITALY,gh ROME   ITALY