How do I create a new column in a dataframe from an existing column using conditions?

Question

I have one column containing all the data which looks something like this (values that need to be separated have a mark like (c)):

UK (c)
London
Wales
Liverpool
US (c)
Chicago
New York
San Francisco
Seattle
Australia (c)
Sydney
Perth

And I want it split into two columns looking like this:

London          UK
Wales           UK
Liverpool       UK
Chicago         US
New York        US
San Francisco   US
Seattle         US
Sydney          Australia
Perth           Australia

Question 2: What if the countries did not have a pattern like (c)?

Answer 1

Step by step with endswith and ffill + str.strip

df['country']=df.loc[df.city.str.endswith('(c)'),'city']
df.country=df.country.ffill()
df=df[df.city.ne(df.country)]
df.country=df.country.str.strip('(c)')