I have tuple of lists. One of these lists is a list of scores. I want to convert the list of scores to a numpy array to take advantage of the pre-built stats that scipy provides.
In this case the tuple is called 'data'
In [12]: type data[2] -------> type(data[2]) Out[12]: <type 'list'> In [13]: type data[2][1] -------> type(data[2][1]) Out[13]: <type 'list'> In [14]: type data[2][1][1] -------> type(data[2][1][1]) Out[14]: <type 'float'> In [15]: print data[2][1] -------> print(data[2][1]) [16.66, 16.66, 16.66, 16.66, 5.5599999999999996, 16.699999999999999] In [16]: print data[2][1][1] -------> print(data[2][1][1]) 16.66
Can I do this easily once I have stored the tuple?
The command numpy.asarray
will turn a number of pre-set iterable containers (list, tuple, etc) into a numpy array.
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