Hi,
1, 2, 3 are integer literals.
1.0, 3.0e2, -42.0 are real (float) literals
'hello world' is a string literal.
As far as I remember, f2py requires a literal variable for the kind.
The solution I have landed on is to write a pure fortran module (using int8, or
whatever), and then wrap this
http://docs.scipy.org/doc/numpy/reference/routines.matlib.html#module-numpy.matlib
promises a list of functions that does not appear (at the moment, anyway).
Alan Isaac
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Hi,
I just wanted to point out a situation where the scalar casting rules
can be a little confusing:
In [113]: a - np.int16(128)
Out[113]: array([-256, -1], dtype=int16)
In [114]: a + np.int16(-128)
Out[114]: array([ 0, -1], dtype=int8)
This is predictable from the nice docs here:
Oops, sorry, Keith Goodman kindly pointed out that I had missed out:
On Wed, Apr 18, 2012 at 11:03 AM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
I just wanted to point out a situation where the scalar casting rules
can be a little confusing:
In [110]: a = np.array([-128, 127],
Hi,
18.04.2012 19:57, Alan G Isaac kirjoitti:
http://docs.scipy.org/doc/numpy/reference/routines.matlib.html#module-numpy.matlib
promises a list of functions that does not appear (at the moment, anyway).
This doesn't seem to be due to a technical reason, but rather than
because nobody has
12.04.2012 18:43, Ralf Gommers kirjoitti:
[clip]
My current list of preferences is:
1. Redmine (if admin overhead is not unreasonable)
2. Trac with performance issues solved
3. Github
4. YouTrack
5. Trac with current performance
Redmine seems pretty nice, apparently has all the features
excellent thank you, that worked perfectly. I just need to remember this
feature next time I need it.
Thanks again
On Thu, Apr 12, 2012 at 11:41 PM, Tim Cera t...@cerazone.net wrote:
Use 'ma.max' instead of 'np.max'. This might be a bug OR an undocumented
feature. :-)
import numpy.ma
On Wed, Apr 18, 2012 at 4:14 PM, Pauli Virtanen p...@iki.fi wrote:
Hi,
18.04.2012 19:57, Alan G Isaac kirjoitti:
http://docs.scipy.org/doc/numpy/reference/routines.matlib.html#module-numpy.matlib
promises a list of functions that does not appear (at the moment, anyway).
This doesn't seem to
