On Mon, 09 Jun 2014 12:48:12 -0700, beliavsky wrote: > I am going to read a multivariate time series from a CSV file that looks > like > > Date,A,B 2014-01-01,10.0,20.0 2014-01-02,10.1,19.9 ... > > The numerical data I will store in a NumPy array, since they are more > convenient to work with than lists of lists. What are the advantages and > disadvantages of storing the symbols [A,B] and dates > [2014-01-01,2014-01-02] as lists vs. NumPy arrays?
You could also use a dictionary of either lists or tuples or even NumPy arrays keyed on the date. $ python Python 2.7.3 (default, Feb 27 2014, 19:58:35) [GCC 4.6.3] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import numpy >>> x = {} >>> y = numpy.array( [0,1] ) >>> x['2014-06-05'] = y >>> x['2014-06-05'] array([0, 1]) >>> x {'2014-06-05': array([0, 1])} >>> x['2014-06-05'][0] 0 >>> x['2014-06-05'][1] 1 -- Denis McMahon, denismfmcma...@gmail.com -- https://mail.python.org/mailman/listinfo/python-list