Hi,
the current numpy master has deprecated non-integers for the use of
indexing (not-fancy yet). However I think this should be moved further
down in the numpy machinery which means that the conversion utils
provided by numpy would generally raise warnings for non-integers.
This means that for
On Fri, May 31, 2013 at 2:08 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
Hi,
the current numpy master has deprecated non-integers for the use of
indexing (not-fancy yet). However I think this should be moved further
down in the numpy machinery which means that the conversion utils
I noticed that genfromtxt() did not skip comments if the keyword names is
not True. If names is True, then genfromtxt() would take the first line as
the names. I am proposing a fix to genfromtxt that skips all of the
comments in a file, and potentially using the last comment line for names.
This
On Fri, May 31, 2013 at 5:08 PM, Albert Kottke albert.kot...@gmail.comwrote:
I noticed that genfromtxt() did not skip comments if the keyword names is
not True. If names is True, then genfromtxt() would take the first line as
the names. I am proposing a fix to genfromtxt that skips all of the
I agree that last comment line before the first line of data is more
descriptive.
Regarding the location of the names. I thought taking it from the last
comment line before the first line of data made sense because it would
permit reading of just the data with np.loadtxt(), but also permit
Hi All,
Most of the PR's that were mentioned as desirable for the 1.8 release have
been merged, or look to be merged in the next week or two. The current list
of
blockershttps://github.com/numpy/numpy/issues?milestone=1page=1state=opendoesn't
look to severe to me but I suspect that it is
On May 31, 2013 at 23:08:18 , Albert Kottke (albert.kot...@gmail.com) wrote:
I noticed that genfromtxt() did not skip comments if the keyword names is not
True. If names is True, then genfromtxt() would take the first line as the
names. I am proposing a fix to genfromtxt that skips all of the
Now try the same thing with np.recfromcsv().
I get the following (Python 3.3):
import io
b = io.BytesIO(b!blah\n!blah\n!blah\n!A:B:C\n1:2:3\n4:5:6\n)
np.recfromcsv(b, delimiter=':', comments='!')
...
ValueError: Some errors were detected !
Line #5 (got 3 columns instead of 1)
Line #6
