Pandas take number out string

In my data, I have this column “price_range”.

Dummy dataset:

df = pd.DataFrame({'price_range': ['€4 - €25', '€3 - €14', '€25 - €114', '€112 - €146', 'No pricing available']})

I am using pandas. What is the most efficient way to get the upper and lower bound of the price range in seperate columns?

Answer

Alternatively, you can parse the string accordingly (if you want to limits for each row, rather than the total range:

df = pd.DataFrame({'price_range': ['€4 - €25', '€3 - €14', '€25 - €114', '€112 - €146']})



def get_lower_limit(some_string):
    a = some_string.split(' - ')
    return int(a[0].split('€')[-1])
    
def get_upper_limit(some_string):
    a = some_string.split(' - ')
    return int(a[1].split('€')[-1])
    
df['lower_limit'] = df.price_range.apply(get_lower_limit)
df['upper_limit'] = df.price_range.apply(get_upper_limit)

Output:

Out[153]: 
   price_range  lower_limit  upper_limit
0     €4 - €25            4           25
1     €3 - €14            3           14
2   €25 - €114           25          114
3  €112 - €146          112          146