Sudheer,
This is not really numpy specific. There are many options for output
formatting in python. For the specific question you have, you could do:
print '{0}{1:8.3f}{2:8.3f}{3:8.3f}{4:8.3f}{5:8.3f}'.format(s,x1,x2,x3,x4,x5)
format is a built-in python string method (see python docs). The on
Hi all,
I'm wondering if you think the following behavior in numpy.clip is a bug
(it certainly confused me for a while):
>>> x = np.arange(5.)
>>> xx = x.clip(None,3.)
>>> xx
array([0.0, 1.0, 2.0, 3.0, 3.0], dtype=object)
Since xx now has the dtype of object, doing things like
>>> np.exp(xx)
Attri
Hi all,
I have recently started using f2py to access some legacy fortran code
and it's mostly worked better than I expected. It handles common
blocks, block data, etc. with no problems. I did need to define the
type of all the arguments in subroutine and function calls, but not in
the body of th
