Hi,
I am new to numpy so any help would be greatly appreciated.
I have two arrays:
array1 = np.arange(1,100+1)
array2 = np.arange(1,50+1)
How can I calculate/determine if array2 is a subset of array1 (falls within
array 1)
Something like : array2 in array1 = TRUE for the case above.
On Tue, Aug 5, 2014 at 1:58 PM, Jurgens de Bruin debrui...@gmail.com wrote:
Hi,
I am new to numpy so any help would be greatly appreciated.
I have two arrays:
array1 = np.arange(1,100+1)
array2 = np.arange(1,50+1)
How can I calculate/determine if array2 is a subset of array1
np.all(np.in1d(array1,array2))
On Tue, Aug 5, 2014 at 2:58 PM, Jurgens de Bruin debrui...@gmail.com
wrote:
Hi,
I am new to numpy so any help would be greatly appreciated.
I have two arrays:
array1 = np.arange(1,100+1)
array2 = np.arange(1,50+1)
How can I calculate/determine if
On Di, 2014-08-05 at 14:58 +0200, Jurgens de Bruin wrote:
Hi,
I am new to numpy so any help would be greatly appreciated.
I have two arrays:
array1 = np.arange(1,100+1)
array2 = np.arange(1,50+1)
How can I calculate/determine if array2 is a subset of array1 (falls
within
ah yes, that may indeed be what you want. depending on your datatype, you
could access the underlying raw data as a string.
b.tostring() in a.tostring() sort of works; but isn't entirely safe, as you
may have false positive matches which arnt aligned to your datatype
using str.find in combination
Hello,
I am pleased to announce the first release candidate for numpy 1.8.2, a
pure bugfix release for the 1.8.x series.
https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
If no regressions show up the final release is planned this weekend.
The upgrade is recommended for all users of
On 8/5/2014 12:45 PM, Julian Taylor wrote:
Hello,
I am pleased to announce the first release candidate for numpy 1.8.2, a
pure bugfix release for the 1.8.x series.
https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
If no regressions show up the final release is planned this
On 05.08.2014 22:32, Christoph Gohlke wrote:
On 8/5/2014 12:45 PM, Julian Taylor wrote:
Hello,
I am pleased to announce the first release candidate for numpy 1.8.2, a
pure bugfix release for the 1.8.x series.
https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
If no regressions
Hi,
On Tue, Aug 5, 2014 at 1:57 PM, Julian Taylor
jtaylor.deb...@googlemail.com wrote:
On 05.08.2014 22:32, Christoph Gohlke wrote:
On 8/5/2014 12:45 PM, Julian Taylor wrote:
Hello,
I am pleased to announce the first release candidate for numpy 1.8.2, a
pure bugfix release for the 1.8.x
On 5 Aug 2014, at 11:27 pm, Matthew Brett matthew.br...@gmail.com wrote:
OSX wheels built and tested and uploaded OK :
http://wheels.scikit-image.org
https://travis-ci.org/matthew-brett/numpy-atlas-binaries/builds/31747958
Will test against the scipy stack later on today.
Built and
Hi,
On Tue, Aug 5, 2014 at 2:27 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Tue, Aug 5, 2014 at 1:57 PM, Julian Taylor
jtaylor.deb...@googlemail.com wrote:
On 05.08.2014 22:32, Christoph Gohlke wrote:
On 8/5/2014 12:45 PM, Julian Taylor wrote:
Hello,
I am pleased to announce
Hi All,
I've been looking to implement the @ operator from Python 3.5. Looking at
the current implementation of the dot function, it only uses a vector inner
product, which is either that defined in arraytypes.c.src or a version
using cblas defined in _dotblas for the float, cfloat, double,
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