selector = target != 2 data, target = data[selector], target[selector] On 4 Dec 2017, 8:38 AM +1100, Peng Yu <pengyu.ut@gmail.com>, wrote:

Hi, I'd like to select the rows of 'data' for which the corresponding elements in 'target' is not 2. Could anybody let know what is the best way (with the least code) to do conditional subsetting like this with numpy objects? Thanks.

from sklearn import datasets data, target = datasets.load_iris()

-- Regards, Peng _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion

selector = target != 2 data, target = data[selector], target[selector] On 4 Dec 2017, 8:38 AM +1100, Peng Yu <pengyu.ut@gmail.com>, wrote:

Hi, I'd like to select the rows of 'data' for which the corresponding elements in 'target' is not 2. Could anybody let know what is the best way (with the least code) to do conditional subsetting like this with numpy objects? Thanks.

from sklearn import datasets data, target = datasets.load_iris()

-- Regards, Peng _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion