On Fri, Nov 16, 2012 at 9:53 PM, Gökhan Sever gokhanse...@gmail.com wrote:
Thanks for the explanations.
For either case, I was expecting to get float32 as a resulting data type.
Since, float32 is large enough to contain the result. I am wondering if
changing casting rule this way, requires a
On Sat, Nov 17, 2012 at 9:47 AM, Nathaniel Smith n...@pobox.com wrote:
On Fri, Nov 16, 2012 at 9:53 PM, Gökhan Sever gokhanse...@gmail.com
wrote:
Thanks for the explanations.
For either case, I was expecting to get float32 as a resulting data type.
Since, float32 is large enough to
2012/11/17 Gökhan Sever gokhanse...@gmail.com
On Sat, Nov 17, 2012 at 9:47 AM, Nathaniel Smith n...@pobox.com wrote:
On Fri, Nov 16, 2012 at 9:53 PM, Gökhan Sever gokhanse...@gmail.com
wrote:
Thanks for the explanations.
For either case, I was expecting to get float32 as a resulting
On Sat, Nov 17, 2012 at 1:00 PM, Olivier Delalleau sh...@keba.be wrote:
2012/11/17 Gökhan Sever gokhanse...@gmail.com
On Sat, Nov 17, 2012 at 9:47 AM, Nathaniel Smith n...@pobox.com wrote:
On Fri, Nov 16, 2012 at 9:53 PM, Gökhan Sever gokhanse...@gmail.com
wrote:
Thanks for the
On Saturday, November 17, 2012, Charles R Harris wrote:
On Sat, Nov 17, 2012 at 1:00 PM, Olivier Delalleau
sh...@keba.bejavascript:_e({}, 'cvml', 'sh...@keba.be');
wrote:
2012/11/17 Gökhan Sever gokhanse...@gmail.com javascript:_e({},
'cvml', 'gokhanse...@gmail.com');
On Sat, Nov
2012/11/16 Charles R Harris charlesr.har...@gmail.com
On Thu, Nov 15, 2012 at 8:24 PM, Gökhan Sever gokhanse...@gmail.comwrote:
Hello,
Could someone briefly explain why are these two operations are casting my
float32 arrays to float64?
I1 (np.arange(5, dtype='float32')).dtype
O1
2012/11/16 Olivier Delalleau olivier.delall...@gmail.com
2012/11/16 Charles R Harris charlesr.har...@gmail.com
On Thu, Nov 15, 2012 at 11:37 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Nov 15, 2012 at 8:24 PM, Gökhan Sever gokhanse...@gmail.comwrote:
Hello,
Could
On Fri, Nov 16, 2012 at 6:37 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Nov 15, 2012 at 8:24 PM, Gökhan Sever gokhanse...@gmail.com wrote:
Hello,
Could someone briefly explain why are these two operations are casting my
float32 arrays to float64?
I1 (np.arange(5,
Thanks for the explanations.
For either case, I was expecting to get float32 as a resulting data type.
Since, float32 is large enough to contain the result. I am wondering if
changing casting rule this way, requires a lot of modification in the NumPy
code. Maybe as an alternative to the current
Hello,
Could someone briefly explain why are these two operations are casting my
float32 arrays to float64?
I1 (np.arange(5, dtype='float32')).dtype
O1 dtype('float32')
I2 (10*np.arange(5, dtype='float32')).dtype
O2 dtype('float64')
I3 (np.arange(5, dtype='float32')[0]).dtype
O3
On Thu, Nov 15, 2012 at 8:24 PM, Gökhan Sever gokhanse...@gmail.com wrote:
Hello,
Could someone briefly explain why are these two operations are casting my
float32 arrays to float64?
I1 (np.arange(5, dtype='float32')).dtype
O1 dtype('float32')
I2 (10*np.arange(5,
On Thu, Nov 15, 2012 at 11:37 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Nov 15, 2012 at 8:24 PM, Gökhan Sever gokhanse...@gmail.comwrote:
Hello,
Could someone briefly explain why are these two operations are casting my
float32 arrays to float64?
I1 (np.arange(5,
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