On Tue, Jan 21, 2014 at 06:54:33PM -0700, Andrew Collette wrote:
Hi Chris,
it looks from here:
http://www.hdfgroup.org/HDF5/doc/ADGuide/WhatsNew180.html
that HDF uses utf-8 for unicode strings -- so you _could_ roundtrip with a
lot of calls to encode/decode -- which could be pretty
On Wed, 2014-01-22 at 07:58 +0100, Dr. Leo wrote:
Hi,
thanks. Both recarray and itertools.chain work just fine in the example
case.
However, the real purpose of this is to read strings from a large xml
file into a pandas DataFrame. But fromiter cannot create arrays of dtype
'object'.
Executing the following code,
import numpy as np
a = np.zeros((3,))
w = np.array([0, 1, 0, 1, 2])
v = np.array([10.0, 1, 10.0, 2, 9])
a[w] += v
I was expecting 'a' to be array([20., 3., 9.]. Instead I get
a
array([ 10., 2., 9.])
This with numpy version 1.6.1.
Is there another way to
On Wed, 2014-01-22 at 17:23 +, Ralf Juengling wrote:
Executing the following code,
import numpy as np
a = np.zeros((3,))
w = np.array([0, 1, 0, 1, 2])
v = np.array([10.0, 1, 10.0, 2, 9])
a[w] += v
I was expecting ‘a’ to be array([20., 3., 9.]. Instead I get
On 22.01.2014 18:23, Ralf Juengling wrote:
Executing the following code,
import numpy as np
a = np.zeros((3,))
w = np.array([0, 1, 0, 1, 2])
v = np.array([10.0, 1, 10.0, 2, 9])
a[w] += v
I was expecting ‘a’ to be array([20., 3., 9.]. Instead I get
a
array([
Hi Oscar,
Is it fair to say that people should really be using vlen utf-8 strings for
text? Is it problematic because of the need to interface with non-Python
libraries using the same hdf5 file?
The general recommendation has been to use fixed-width strings for
exactly that reason; FORTRAN
On Wed, Jan 22, 2014 at 2:46 AM, Oscar Benjamin
oscar.j.benja...@gmail.comwrote:
BTW, as much as the fixed-width 'S' dtype doesn't really work for str in
Python 3 it's also a poor fit for bytes since it strips trailing nulls:
a = np.array(['a\0s\0', 'qwert'], dtype='S')
a
On Wed, Jan 22, 2014 at 12:07:28PM -0800, Chris Barker wrote:
On Wed, Jan 22, 2014 at 2:46 AM, Oscar Benjamin
oscar.j.benja...@gmail.comwrote:
BTW, as much as the fixed-width 'S' dtype doesn't really work for str in
Python 3 it's also a poor fit for bytes since it strips trailing nulls:
On Tue, Jan 21, 2014 at 5:46 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Tue, Jan 21, 2014 at 9:26 AM, jennifer stone
jenny.stone...@gmail.comwrote:
What are your interests and experience? If you use numpy, are there
things
you would like to fix, or enhancements you would
On Jan 22, 2014, at 1:13 PM, Oscar Benjamin oscar.j.benja...@gmail.com wrote:
It's not safe to stop removing the null bytes. This is how numpy determines
the length of the strings in a dtype='S' array. The strings are not
fixed-width but rather have a maximum width.
Exactly--but folks have
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