NumPy-Discussion July 2010

numpy-discussion@python.org

129 participants
171 discussions

by Ralf Gommers

Hi all, For numpy 1.5.0 no one has yet said they have urgent changes that need to go in. If you do, please reply with the what and why. If nothing big has to go in, I propose the following release schedule: Aug 1 : beta 1 Aug 15: rc 1 Aug 22: rc 2 Aug 29: release Please note that the branch has been created already, so no new features should go in anymore. If you have urgent tickets, please let's hear those as well. My small laundry list is pasted below. 1242 (no tests for matlib) 1343 (OS X build error) 1124 (remove string exceptions) 1416 (frompyfunc segfault) 1088 (add cython/swig examples) 1502 (msvc, isnan patch) 1499 (msvc, ldexp patch) 1438 (trapz patch) 1491 (str comparison patch) 1164 (distutils, fcompiler/pg.py patch) 1448 (distutils, Intel compiler detection patch) Cheers, Ralf

11 years, 5 months

Problem with importing numpy in Ubuntu

by Robert Faryabi

I am new to numpy. Hopefully this is a correct forum to post my question. I have Ubuntu Luci system. I installed Python 2.6.5 and Python 3.0 as well as python-numpy using Ubuntu repository. When I import the numpy into python, I get the following error. >> import numpy Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: No module named numpy The package cannot be located. Then I tried to point the interpreter to the numpy >>> sys.path.append('/usr/lib/ python2.6/dist-packages') and import it >>> import numpy I get the following error >>> import numpy Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/lib/python2.6/dist-packages/numpy/__init__.py", line 130, in <module> import add_newdocs File "/usr/lib/python2.6/dist-packages/numpy/add_newdocs.py", line 9, in <module> from lib import add_newdoc File "/usr/lib/python2.6/dist-packages/numpy/lib/__init__.py", line 4, in <module> from type_check import * File "/usr/lib/python2.6/dist-packages/numpy/lib/type_check.py", line 8, in <module> import numpy.core.numeric as _nx File "/usr/lib/python2.6/dist-packages/numpy/core/__init__.py", line 5, in <module> import multiarray ImportError: /usr/lib/python2.6/dist-packages/numpy/core/multiarray.so: undefined symbol: _PyUnicodeUCS4_IsWhitespace

11 years, 5 months

Subclassing ndarray in C: getitem ?

by Pierre GM

All, I'm teaching myself how to subclass ndarrays in C (not in Cython, just plain C). It's slowly coming together, but I'm now running into a problem: I need to overwrite __getitem__ and I'm not sure how to do it. I was thinking about using my own function instead of array_as_mapping.mp_subscript, but how do I import array_as_mapping in the first place ? And is it really the way to go ? Any pointer appreciated... P.

11 years, 5 months

ceil returns real ?

by Mark Bakker

Hello list, I don't understand why ceil and floor return real values, while the doc string says: The ceil of the scalar `x` is the smallest integer `i` Wouldn't an integer make more sense? Numpy version 1.3.0. Thanks, Mark

11 years, 5 months

Is there anyway to read raw binary file via pytable?

by 脑关(BrainGateway)生命科学仪器

it seems like pytable only support HDF5. I had some 500GB numerical arrays to process. Pytable claims to have some advance feature to enhance processing speed and largely reduce physical memory requirement. However, I do not wanna touch the raw data I had. Simply because I do not have doubled diskspace to covert all 10TB data into HDF5. Is there any way to let pytable read raw binary files or alternatively to package raw files into HDF5 format without change the files themselves.? Thanks Brain Gateway

11 years, 5 months

how to add columns

by wheres pythonmonks

I have a rec array and I want to add an additional column. I've seen at least two solutions to this problem: mlab.rec_append_fields (matplotlib) And append_field from http://mail.scipy.org/pipermail/numpy-discussion/2007-September/029357.html In [19]: def append_field(rec, name, arr, dtype=None): arr = np.asarray(arr) if dtype is None: dtype = arr.dtype newdtype = np.dtype(rec.dtype.descr + [(name, dtype)]) newrec = np.empty(rec.shape, dtype=newdtype) for field in rec.dtype.fields: newrec[field] = rec[field] newrec[name] = arr return newrec Is there a best solution? I don't like the matplotlib solution b/c of the "dll-hell" anti-pattern. But the pure numpy solution looks like it has too many copies. (or are recarrays pointers-of-pointers as opposed to contiguous memory?) Help! W

11 years, 5 months

First shot at svn->git conversion

by David Cournapeau

Hi there, I have finally prepared and uploaded a test repository containing numpy code: http://github.com/numpy/numpy_svn Please check in particular that your account information are correctly recorded in the log. A few informations: - the repo was converted from a local svn mirror to git through svn-all-fast-export - svn tags are put into the svntags "namespace", and only maintenance branches have been kept - "out of branch" branches (f2py, vendor, etc...) have not been included. They become separate git repos (not uploaded). DO NOT COMMIT ANYTHING TO THIS REPO - this is only for testing, any change made to this repo WILL be lost, cheers, David

11 years, 5 months

Don't understand this error

by David Goldsmith

res = np.fromfunction(make_res, (nx, ny)) File "C:\Python26\lib\site-packages\numpy\core\numeric.py", line 1538, in fromfunction args = indices(shape, dtype=dtype) File "C:\Python26\lib\site-packages\numpy\core\numeric.py", line 1480, in indices tmp.shape = (1,)*i + (dim,)+(1,)*(N-i-1) ValueError: total size of new array must be unchanged Script terminated If it's a new array, how can it already have a size that can't be changed? What does this error really mean? DG

11 years, 5 months

subtract.reduce behavior

by Johann Hibschman

I'm trying to understand numpy.subtract.reduce. The documentation doesn't seem to match the behavior. The documentation claims For a one-dimensional array, reduce produces results equivalent to: r = op.identity for i in xrange(len(A)): r = op(r,A[i]) return r However, numpy.subtract.reduce([1,2,3]) gives me 1-2-3==-4, not 0-1-2-3==-6. Now, I'm on an older version (1.3.0), which might be the problem, but which is "correct" here, the code or the docs? Thanks, Johann

11 years, 5 months

Help w/ indexing, please

by David Goldsmith

Hi! I have a large M x K, M, K ~ 1e3 array L of indices - non-negative integers in the range 0 to N-1 - and an N x 3 array C (a matplotlib colormap). I need to create an M x K x 3 array R such that R[m,k,j] = C[L[m,k], j], j = 0,1,2. I want to do so w/out having to loop through all the (m,k) index pairs, but I'm having trouble wrapping my brain around how to do it - please help. Thanks. DG

11 years, 5 months

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NumPy-Discussion July 2010