Keith Goodman kwgoodman at gmail.com writes:
On Tue, Dec 9, 2008 at 12:25 PM, Bab Tei babaktei at yahoo.com wrote:
I can exclude a list of items by using negative index in R (R-project) ie
myarray[-excludeindex]. As
negative indexing in numpy (And python) behave differently ,how can I
Hi
I can exclude a list of items by using negative index in R (R-project) ie
myarray[-excludeindex]. As negative indexing in numpy (And python) behave
differently ,how can I exclude a list of item in numpy?
Regards, Teimourpour
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You can make a mask array in numpy to prune out items from an array
that you don't want, denoting indices you want to keep with 1's and
those you don't want to keep with 0's. For instance,
a = np.array([1,3,45,67,123])
mask = np.array([0,1,1,0,1],dtype=np.bool)
anew = a[mask]
will set anew equal
On Tue, Dec 9, 2008 at 12:25 PM, Bab Tei [EMAIL PROTECTED] wrote:
I can exclude a list of items by using negative index in R (R-project) ie
myarray[-excludeindex]. As negative indexing in numpy (And python) behave
differently ,how can I exclude a list of item in numpy?
Here's a painful way
