Try out latest SVN. It should have this problem fixed.
Thanks for this. I've realized that for my case, using object arrays
is probably best. I still think that long term it would be good to
allow comparison functions to take different types, so that one could
compare say integer arrays with
Hi All,
I sent a couple of messages to f2py mailing list, but it seems
like my problem has no simple solution so I thought to ask for some
suggestions here.
Basically, I read some huge unformatted binary files which contain
time-step data from a reservoir simulation. I don't know the
On Fri, February 1, 2008 4:18 pm, Andrea Gavana wrote:
Hi Lisandro,
On Feb 1, 2008 1:59 PM, Lisandro Dalcin wrote:
Sorry if I'm making noise, my knowledge of fortran is really little,
but in your routine AllocateDummy your are fist allocating and next
deallocating the arrays. Are you sure
Sorry if I'm making noise, my knowledge of fortran is really little,
but in your routine AllocateDummy your are fist allocating and next
deallocating the arrays. Are you sure you can then access the contents
of your arrays after deallocating them?
How much complicated is your binary format? For
Hi Lars,
[...]
2008/2/1, Lars Friedrich [EMAIL PROTECTED]:
1) How can I tell histogramdd to use another dtype than float64? My bins
will be very little populated so an int16 should be sufficient. Without
normalization, a Integer dtype makes more sense to me.
There is no way you'll be able
Hi Lisandro,
On Feb 1, 2008 1:59 PM, Lisandro Dalcin wrote:
Sorry if I'm making noise, my knowledge of fortran is really little,
but in your routine AllocateDummy your are fist allocating and next
deallocating the arrays. Are you sure you can then access the contents
of your arrays after
Pearu Peterson wrote:
On Fri, February 1, 2008 1:28 pm, Andrea Gavana wrote:
Hi All,
I sent a couple of messages to f2py mailing list, but it seems
like my problem has no simple solution so I thought to ask for some
suggestions here.
Sorry, I haven't been around there long time.
Are
On Fri, February 1, 2008 8:39 pm, Robert Kern wrote:
Pearu Peterson wrote:
On Fri, February 1, 2008 1:28 pm, Andrea Gavana wrote:
Hi All,
I sent a couple of messages to f2py mailing list, but it seems
like my problem has no simple solution so I thought to ask for some
suggestions here.
All,
I just commited some updates on mrecords (numpy.maskedarray branch). Overall,
it's a reorganization/simplification of the code. Regular masked arrays can
already recognize named fields, but the mask works only at the record level
(ie, all the fields of one record are masked). In
