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()
selector = target != 2
data, target = data[selector], target[selector]
On 4 Dec 2017, 8:38 AM +1100, Peng Yu , 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 c
