Doh! That's embarrassing! Thanks! On Jan 26, 2009, at 12:00 PM, Keith Goodman wrote:
> On Mon, Jan 26, 2009 at 11:48 AM, Ariel Rokem <[email protected]> > wrote: >> Hi - I am trying to find a string in a list with strings and have >> come >> across the following state of affairs: >> In [228]: subjects >> Out[228]: >> ['KAA', >> 'CCS', >> 'EJS', >> 'MNM', >> 'JHS', >> 'LJL', >> 'DVA', >> 'FCL', >> 'CNC', >> 'KFM', >> 'APM', >> 'GMC'] >> In [229]: subjects[0] >> Out[229]: 'KAA' >> In [230]: subjects[0] == 'KAA' >> Out[230]: True >> In [231]: np.where(subjects == 'KAA') >> Out[231]: () >> In [232]: pylab.find(subjects == 'KAA') >> Out[232]: array([], dtype=int32) >> It doesn't seem to matter if I make the list into an array: >> In [233]: np.array(subjects) >> Out[233]: >> array(['KAA', 'CCS', 'EJS', 'MNM', 'JHS', 'LJL', 'DVA', 'FCL', 'CNC', >> 'KFM', 'APM', 'GMC'], >> dtype='|S3') >> In [234]: pylab.find(subjects == 'KAA') >> Out[234]: array([], dtype=int32) >> In [235]: np.where(subjects == 'KAA') >> Out[235]: () >> What am I doing wrong? What does it mean that the dtype is IS3? > > I think you made a typo. Try changing line 233 to subjects = > np.array(subjects) > >>> type(subjects) > <type 'list'> >>> np.where(subjects == 'KAA') > () >>> np.where(np.asarray(subjects) == 'KAA') > (array([0]),) > _______________________________________________ > Numpy-discussion mailing list > [email protected] > http://projects.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
