I have a multidimensional list where the first item is a date and the second is a date time object needing to be added together. For example (leave the second as a integer for simplicity):
[[01/01/2019, 10], [01/01/2019, 3], [02/01/2019, 4], [03/01/2019, 2]]
The resulting array should be:
[[01/01/2019, 13], [02/01/2019, 4], [03/01/2019, 2]]
Does someone have a short way of doing this?
The background to this is vehicle tracking, I have a list of trips performed by vehicle and I want to have a summary by day with a count of total time driven per day.
You should change your data 01/01/2019 to '01/01/2019'.
@naivepredictor suggested good sample, anyway, if you don't want to import pandas, use this.
my_list = [['01/01/2019', 10], ['01/01/2019', 3], ['02/01/2019', 4], ['03/01/2019', 2]]
result_d = {}
for i in my_list:
result_d[i[0]] = result_d.get(i[0], 0) + i[1]
print(result_d) #{'01/01/2019': 13, '02/01/2019': 4, '03/01/2019': 2}
print([list(d) for d in result_d.items()]) #[['01/01/2019', 13], ['02/01/2019', 4], ['03/01/2019', 2]]
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