I have searched up and down for this in python and could not find exactly what I'm looking for.
Suppose I have the following example:
date_list = [Mar 27 2015, Mar 26 2015, Mar 25 2015]
num_list_1 = [22, 35, 7]
num_list_2 = [15, 12, 2]
How do I combine the lists so my end result is something like this:
combined_list = [Mar 27 2015, 22, 15
Mar 26 2015, 35, 12
Mar 25 2015, 7, 2]
Once I have the data in the combined_list variable, I want to be able to pass it to a for loop and iterate over each line and insert it into my SQLite db if the date does not exist or update the existing record if the date is found.
I have my separate lists and I have the database insert working. What I'm not sure about is the proper way to combine the lists. Am I looking for a pandas dataframe? Or something else?
Any pointers to nudge me in the right direction would be appreciated
Use zip on the three lists (I've corrected the date_list's format, the Original post doesn't have it in correct strings):
>>> date_list = ["Mar 27 2015", "Mar 26 2015", "Mar 25 2015"]
>>> num_list_1 = [22, 35, 7]
>>> num_list_2 = [15, 12, 2]
>>> list(zip(date_list, num_list_1, num_list_2))
[('Mar 27 2015', 22, 15), ('Mar 26 2015', 35, 12), ('Mar 25 2015', 7, 2)]
And as a single list using a simple list comprehension in conjunction with zip:
>>> [item for items in zip(date_list, num_list_1, num_list_2) for item in items]
['Mar 27 2015', 22, 15, 'Mar 26 2015', 35, 12, 'Mar 25 2015', 7, 2]
Note: This answer is not pandas dependent, if you are looking for a way to do this in pandas, check @EdChum's answer.
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