I have posted the below also at stackoverflow in this thread, but a poster there recommended I post this here. Thanks for any suggestions.
I have the below code, and as someone new to Python, I was hoping for suggestions on making it more Pythonic. Posters in this thread have provided very helpful numpy and list comprehension solutions; however, I'd like to improve my more basic nested loop solution solely for the sake of becoming better with basic Python tasks (please do let me know if I should have posted this in the prior thread instead of starting a new semi-duplicate...apologies if that's what I should have done).
Here's the current code (which works as desired):
sales_data = [[201703, 'Bob', 3000], [201703, 'Sarah', 6000], [201703, 'Jim', 9000], [201704, 'Bob', 8000], [201704, 'Sarah', 7000], [201704, 'Jim', 12000], [201705, 'Bob', 15000], [201705, 'Sarah', 14000], [201705, 'Jim', 8000], [201706, 'Bob', 10000], [201706, 'Sarah', 18000]] sorted_sales_data = sorted(sales_data, key=lambda x: -x) date_list =  sales_ranks =  for i in sales_data: date_list.append(i) sorted_dates = sorted(set(date_list), reverse=True) for i in sorted_dates: tmp_lst =  tmp_lst.append(i) for j in sorted_sales_data: if j == i: tmp_lst.append(j) sales_ranks.append(tmp_lst) print(sales_ranks)
Any suggestions on making this more Pythonic (other than numpy or list comprehension solutions) would be greatly appreciated. I am using Python 3.6.