I have a rectangle with the following coordinates:
import numpy as np
ulx,uly = (110, 60) ##uppper left lon, upper left lat
urx,ury = (120, 60) ##uppper right lon, upper right lat
lrx, lry = (120, 50) ##lower right lon, lower right lat
llx, lly = (110, 50) ##lower left lon, lower left lat
I want
Dear Julian Taylor
Thank you very much, I really appreciated your codes.
On Sat, Oct 18, 2014 at 9:28 PM, Julian Taylor <
jtaylor.deb...@googlemail.com> wrote:
> On 18.10.2014 14:14, Artur Bercik wrote:
> >
> >
> > On Sat, Oct 18, 2014 at 9:00 PM, Artur Bercik &g
On Sat, Oct 18, 2014 at 9:00 PM, Artur Bercik wrote:
>
>
> On Sat, Oct 18, 2014 at 8:28 PM, Julian Taylor <
> jtaylor.deb...@googlemail.com> wrote:
>
>> On 18.10.2014 07:58, Artur Bercik wrote:
>> > Dear Python and Numpy Users:
>> >
>> > M
On Sat, Oct 18, 2014 at 8:28 PM, Julian Taylor <
jtaylor.deb...@googlemail.com> wrote:
> On 18.10.2014 07:58, Artur Bercik wrote:
> > Dear Python and Numpy Users:
> >
> > My data are in the form of '32-bit unsigned integer' as follows:
> >
> > myDa
Dear Python and Numpy Users:
My data are in the form of '32-bit unsigned integer' as follows:
myData = np.array([1073741824, 1073741877, 1073742657, 1073742709,
1073742723, 1073755137, 1073755189,1073755969],dtype=np.int32)
I want to get the index of my data where the following occurs:
Bit No.
