On Wed, Mar 12, 2008 at 11:39 AM, Charles Doutriaux [EMAIL PROTECTED] wrote:
My mistake i was still in trunk
but i do get:
import numpy, numpy.oldnumeric.ma as MA, numpy.oldnumeric as
Numeric, PropertiedClasses
File
On Wed, Mar 12, 2008 at 10:43 PM, Jarrod Millman [EMAIL PROTECTED] wrote:
Stefan and I also triaged the remaining tickets--closing several and
turning others in to release blockers:
http://scipy.org/scipy/numpy/query?status=newseverity=blockermilestone=1.0.5order=priority
I think that
Is there a better way than looping to perform the following transformation?
import numpy
int_data = numpy.arange(1,11, dtype=int) # just an example
str_data = int_data.astype('S4')
for i in xrange(len(int_data)):
... str_data[i] = 'S%03d' % int_data[i]
print str_data
['S001' 'S002'
On Thu, 13 Mar 2008, Alexander Michael apparently wrote:
I want to format an array of numbers as strings.
To what end?
Note that tofile has a format option.
And for 1d array ``x`` you can always do::
strdata = list( fmt%xi for xi in x)
Nice because the counter name does not bleed into
Hi Stephan,
Does the converter from Numeric fixes that? I mean runnning it on an old
Numeric script will import numpy.ma, does it still replace with
numpy.oldnumeric.ma?
Thx,
C.
Stéfan van der Walt wrote:
On Wed, Mar 12, 2008 at 11:39 AM, Charles Doutriaux [EMAIL PROTECTED] wrote:
My
Hello,
we used to have this working, the latest numpy breaks it.
File
/lgm/cdat/5.0.0.alpha7/lib/python2.5/site-packages/cdms2/tvariable.py,
line 21, in module
import numpy.oldnumeric.ma as MA
class TransientVariable(AbstractVariable, MA.array):
TypeError: Error when calling the metaclass
['S%03d'%i for i in int_data]
David
2008/3/13, Alan G Isaac [EMAIL PROTECTED]:
On Thu, 13 Mar 2008, Alexander Michael apparently wrote:
I want to format an array of numbers as strings.
To what end?
Note that tofile has a format option.
And for 1d array ``x`` you can always do::
2008/3/13, Alan G Isaac [EMAIL PROTECTED]:
strdata = list( fmt%xi for xi in x)
Nice because the counter name does not bleed into your program.
On Thu, 13 Mar 2008, David Huard apparently wrote:
['S%03d'%i for i in int_data]
The difference is that the counter bleeds
from the list
On Thu, Mar 13, 2008 at 9:49 AM, Alan G Isaac [EMAIL PROTECTED] wrote:
And for 1d array ``x`` you can always do::
strdata = list( fmt%xi for xi in x)
Nice because the counter name does not bleed into your program.
On Thu, Mar 13, 2008 at 3:07 PM, David Huard [EMAIL PROTECTED] wrote:
Hello,
I am new to the world of Python and numpy but am very excited by what I have
seen so far.
I have been playing around with some rainfall data. The data is daily rainfall
for a period, say 30 years in the form:
Year Month JulianDay Rain (mm)
1970 1 1 0.0
1970 1
I appologize that the Mac OSX buildbot has been so flakey. For some
reason it stops being able to resolve scipy.org on a regular basis
(though other processes on the same machine don't seem to have
trouble). Restarting the slave fixes the issue. Anyways, if anyone is
testing an OS X issue and the
On Thu, 13 Mar 2008, Alexander Michael apparently wrote:
I wasn't sure if there was a magic numpy
method to do the loop quickly (as the destination array is created
beforehand) without creating a temporary Python list, but I guess not.
The generator/list-comprehension is likely better than
Hi,
According to the fromfunction() example:
http://www.scipy.org/Numpy_Example_List_With_Doc#head-597e63df5a6d490abd474ffd84d0419468c8329a
fromfunction() should return an array of integers. But when i run the
example, i obtain an array of floats:
from numpy import *
def f(i,j):
...
This is how I would hope ``fromfunction`` would work
and it matches the docs. (See below.) You can fix
the example ...
Cheers,
Alan Isaac
help(N.fromfunction)
Help on function fromfunction in module numpy.core.numeric:
fromfunction(function, shape, **kwargs)
Returns an array constructed
On Thu, Mar 13, 2008 at 06:18:30PM -0400, Alan G Isaac wrote:
This is how I would hope ``fromfunction`` would work
and it matches the docs. (See below.) You can fix
the example ...
Interesting, i thought the output in the Example List page is
auto-generated...
I am new to the world of Python and numpy
Welcome.
I have successfully imported the data into lists and then created a
single array from the lists.
I think putting each quantity in a 1D array is more practical in this
case.
I can get the rainfall total over the entire period using:
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