I want to find all the combinations of two lists using itertools
's product function:
from itertools import product
months = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"]
years = ['2021', '2022']
list(product(*[months, years]))
This outputs
[('January', '2021'), ('January', '2022'), ('February', '2021'), ('February', '2022'), ('March', '2021'), ('March', '2022'), ('April', '2021'),
and so on. Is it possible to preserve the order of the months
list? I also want to convert the tuples to strings where the months
and years
elements are separated by _
.
This is what I'm aiming to get:
['January_2021', 'February_2021', 'March_2021', 'April_2021', ...
CodePudding user response:
Just swap the lists in itertools.product
:
out = [f"{m}_{y}" for y, m in product(*[years, months])]
print(out)
Prints:
[
"January_2021",
"February_2021",
"March_2021",
"April_2021",
"May_2021",
"June_2021",
"July_2021",
"August_2021",
"September_2021",
"October_2021",
"November_2021",
"December_2021",
"January_2022",
"February_2022",
"March_2022",
"April_2022",
"May_2022",
"June_2022",
"July_2022",
"August_2022",
"September_2022",
"October_2022",
"November_2022",
"December_2022",
]
CodePudding user response:
Yes, you just need to swap the order of the arguments to product()
, and then do a little string manipulation on each tuple that's produced:
list('_'.join([month, year]) for year, month in product(*[years, months]))
This outputs:
['January_2021', 'February_2021', 'March_2021', 'April_2021', 'May_2021', 'June_2021', 'July_2021', 'August_2021', 'September_2021', 'October_2021', 'November_2021', 'December_2021', 'January_2022', 'February_2022', 'March_2022', 'April_2022', 'May_2022', 'June_2022', 'July_2022', 'August_2022', 'September_2022', 'October_2022', 'November_2022', 'December_2022']
CodePudding user response:
You could map str.format
:
out = list(map('{0[1]}_{0[0]}'.format, product(*[years, months])))
Output:
['January_2021', 'February_2021', 'March_2021', 'April_2021', 'May_2021', 'June_2021',
'July_2021', 'August_2021', 'September_2021', 'October_2021', 'November_2021', 'December_2021',
'January_2022', 'February_2022', 'March_2022', 'April_2022', 'May_2022', 'June_2022', 'July_2022',
'August_2022', 'September_2022', 'October_2022', 'November_2022', 'December_2022']