[SciPy-User] more efficient way of dealing with numpy arrays?
tashbean
tashbean at googlemail.com
Thu Jun 24 09:08:49 EDT 2010
Hi,
I would like to pick certain rows of an array based on matching the
first column with options contained in another array e.g. I have this
array:
parameter_list =
array([['Q10', 'scipy.stats.uniform(2,10-2)'],
['mpe', 'scipy.stats.uniform(0.,1.)'],
['rdr_a', 'scipy.stats.uniform(5e-5,1.24-5e-5)'],
['rdr_b', 'scipy.stats.uniform(-60.18,-3.41--60.18)']],
dtype='|S40')
I have an array which contains the strings of the first column which I
would like to pick out e.g.
param_options = ['Q10' , 'mpe']
My solution of how to do this is as follows:
new_params = numpy.array([])
for i in xrange(len(param_options)):
new_params = numpy.append(new_params,
parameter_list[parameter_list[:,0]==param_options[i]])
Is there a more efficient way of doing this?
Thank you for your help!
Tash
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