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]> wr
> 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 th
['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
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 y
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
['S00
