arrays - removing duplicate values in python -

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give me Columns are Excel Date and Temporary will look like this:

  date temp 20130102 34,20 20130102 34.42 20130102 34.33 20130102 34,12 20130102 34,84 20130103 34,48 20130103 34.42 20130103 33 , 77 20130103 33,62 20130103 33,94 20130103 33,45  

When I extract them into python using numpy, I get 2 arrays like this:

  date = [20130102,20130102,20130102,20130102,20130102,20130103,20130103,20130103,20130103] temporary = [34.20,34.42,34.23 ....., 33.45]  

< P> How do I convert this into array 1 of arrays, by combining the 1 date with all corresponding temps for that date?

  dataarray = [[20130102,34.20,34.42,34.23,34.12,34.84], [20130103,34.48,34.42,33.77,33.62,33.94,33.45]]  

To get the exact format you specify (list of lists), I use and then to understand some links Open group generator for:

  import itertools groups = itertools.groupby (zip (date, floating), lambda DV: DV [0]) list_of_lists = [[d] [v [1] Values ​​in V] for D, value in the group]  

I assume on the basis of your example, that come Data is available in Part I, if not, groupby function will not need to do so, and you'd be better off with a dictionary (see below).

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But my guess is, if you want to do something after actually opening it with this data do , then it is more convenient in a dictionary than the date To go with the strategy in which case you would like to go.