I am not sure where to look for this, sorry if it is RTFM or JPS
(just plain stupid):
Is there a way to set a default to print the entire array, rather than
an ellipses version of it? If not, why doesn't
pprint.pformat(numpy.random.normal(0,1,(100, 100)), width=1000) at
least give me something
Does anyone have some vectorized code that pulls out all the row
indices for any row which has an nan (or a number less than 1 or
whatever). I want to subsequently be able to perform an operation
with all the good rows. See the imaginary code below.
a = numpy.array([[1,2],[nan,1], [2,3]])
On 7/13/06, Robert Kern [EMAIL PROTECTED] wrote:
Webb Sprague wrote:
Does anyone have some vectorized code that pulls out all the row
def is_row_nan(a):
return numpy.isnan(a).any(axis=-1)
I knew there was a way, but I didn't know to check any() and all().
Thanks to all (I love free
Could someone recommend a way to average an array along the columns
without propagating the nans and without turning them into some weird
number which bias the result? I guess I can just keep using an
indexing array for fooArray, but if there is somehting more graceful,
I would love to know.
Boy
Hi Numpeans,
I have been working on a web-based scientific application for about a
year, most of which had been written in either Matlab or SPLUS/R. My
task has been to make it driveable through an online interface (if
anyone cares about mortality forecasting, drop me an email and we can
chat
I am trying to install numpy on Gentoo (see my info below for version
etc). It all seems to go fine, but when I try to import it and run
the tests, I get the following error (in ipython):
In [1]: import numpy
import linalg - failed: libg2c.so.0: cannot open shared object file:
No such file or
