Suppose I have a df:
Name Surname Age
0 Alex Jackson 10
1 Bob Black 12
2 Clarke Flingston 13
3 Claude White 11
4 Julia Waters 10
5 Robert Ferrari 12
6 Anna Red 9
7 David Blue 10
8 Luke Man 12
and with:
list_n = []
for age, surname in zip(df.Age, df.Surname):
if (age != 13 and
age != 11 and
age != 10):
list_n.append(surname)
list_n
['Black', 'Ferrari', 'Red', 'Man']
I get a list of surnames excluding the ones with a certain age. Is it possible to iterate the if condition with a list of ages?
I tried with list comprehension but it does not work as it should be:
list_age = [13,11,10]
list_n = []
for age, surname in zip(df.Age, df.Surname):
[list_n.append(surname) for x in list_Age if age != x]
list_n
['Jackson', 'Jackson', 'Black', 'Black', 'Black', 'Flingston',
'Flingston', 'White', 'White', 'Waters', 'Waters', 'Ferrari',
'Ferrari', 'Ferrari', 'Red', 'Red', 'Red', 'Blue', 'Blue',
'Man', 'Man', 'Man']
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