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
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
>
np.all(np.in1d(array1,array2))
On Tue, Aug 5, 2014 at 2:58 PM, 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
On Tue, Aug 5, 2014 at 1:58 PM, 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
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.
T