In my data, I have this column “price_range”.
Dummy dataset:
JavaScript
x
2
1
df = pd.DataFrame({'price_range': ['€4 - €25', '€3 - €14', '€25 - €114', '€112 - €146', 'No pricing available']})2
I am using pandas. What is the most efficient way to get the upper and lower bound of the price range in seperate columns?
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Answer
Alternatively, you can parse the string accordingly (if you want to limits for each row, rather than the total range:
JavaScript
1
15
15
1
df = pd.DataFrame({'price_range': ['€4 - €25', '€3 - €14', '€25 - €114', '€112 - €146']})2
3
4
5
def get_lower_limit(some_string):6
a = some_string.split(' - ')7
return int(a[0].split('€')[-1])8
9
def get_upper_limit(some_string):10
a = some_string.split(' - ')11
return int(a[1].split('€')[-1])12
13
df['lower_limit'] = df.price_range.apply(get_lower_limit)14
df['upper_limit'] = df.price_range.apply(get_upper_limit)15
Output:
JavaScript
1
8
1
Out[153]: 2
price_range lower_limit upper_limit3
0 €4 - €25 4 254
1 €3 - €14 3 145
2 €25 - €114 25 1146
3 €112 - €146 112 1467
8