Mailman 3 November 2003 - NumPy-Discussion

Wrong error message
by Edward C. Jones Nov. 20, 2003

Nov. 20, 2003

Here is the program: #! /usr/bin/env python import numarray arr1 = numarray.zeros([3,2,1]) arr2 = numarray.zeros([3,2,1]) arr2[0] = arr1 and here is the error message: TypeError: _copyFromAndConvert: non-numarray input. Should this program give this error message?

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by Camille Flood Nov. 19, 2003

Nov. 19, 2003

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Help with PyArrayObject and C Arrays.
by Andrea Riciputi Nov. 19, 2003

Nov. 19, 2003

Hi, I've written some C code for number crunching that uses the following structure for simulating 2-dimensional arrays (i.e. matrices): typedef struct { double **aa; int nrows; int ncols; } Array2d; In order to read these C arrays in Python+Numeric and vice versa, I've written some wrapping code, but I'm not so sure it's correct. In particular I'm concerned in memory leakage, I don't know if I've understood correctly how PyArray_FromDimsAndData works and if I've choose the best way to solve the problem. My code follows. Thanks for help! Andrea. C --> Python ============ static PyObject *Array2d_2_PyArrayObject(Array2d *input) { int ndims[2]; PyArrayObject *result; if (!input) return NULL; ndims[0] = input->nrows; ndims[1] = input->ncols; result = (PyArrayObject *) PyArray_FromDimsAndData(2, ndims, PyArray_DOUBLE, (char *) input->aa[0]); free(input->aa); free(input); return PyArray_Return(result); } Python --> C ============ static Array2d *PyList_2_Array2d(PyObject *input) { Array2d *result; if (!PySequence_Check(input)) { PyErr_SetString(PyExc_TypeError,"Expected a sequence"); return NULL; } result = (Array2d *) malloc(sizeof(Array2d)); PY_CHECK_ALLOC(result); if (PyArray_As2D((PyObject **) &input, (char ***) &(result->aa), &(result->nrows), &(result->ncols), PyArray_DOUBLE) != 0) { PyErr_SetString(PyExc_MemoryError,"No heap space for data"); return NULL; } return result; } --- Andrea Riciputi "Science is like sex: sometimes something useful comes out, but that is not the reason we are doing it" -- (Richard Feynman)

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Problems creating a numarray of type PyArray_OBJECT
by Leo Breebaart Nov. 19, 2003

Nov. 19, 2003

Hi all, Using the numarray C API, I am trying to create an array containing Python strings from an existing C (char **) array. In Numeric 23.1, the following code fragment works fine: PyObject *pdata = NULL; // num_elements has been defined earlier PyStringObject **strarray = malloc(num_elements * sizeof(PyStringObject *)); if (strarray != NULL) { int e; for (e = 0; e < num_elements; e++) { strarray[e] = (PyStringObject *) PyString_FromString(((char **)data)[e]); } // num_dims and the dim array have been defined earlier pdata = PyArray_FromDimsAndData(num_dims, dim, PyArray_OBJECT, (char *)strarray); } In numarray 0.7, the same code yields the runtime error: libnumarray.error: Type object lookup returned NULL for type 14 in the PyArray_FromDimsAndData() call. Using the current numarray CVS head instead of the 0.7 release makes no difference. Is there somebody who knows what is going or what I am doing wrong? Many thanks in advance, -- Leo Breebaart <leo(a)lspace.org>

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Re: creating record arrays using memmap
by JC Hsu Nov. 17, 2003

Nov. 17, 2003

Yes, it is possible to create a record array with memmap. The trick is to use the constructor, instead of the "array" function: >>> from numarray import memmap, records >>> m=memmap.open('xxx.txt') >>> r2=records.RecArray(m[0:18],formats='i2,f4',shape=3) Notice that you also need to "calculate" the slice (you must use the slice even if you are mapping the whole file). JC Hsu

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numarray: records using memmap
by Sebastian Haase Nov. 17, 2003

Nov. 17, 2003

Hi, Is it possible to create a record-array using a memmap (file) as buffer ? Thanks, Sebastian Haase

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Multiple assignment confusion
by Benjamin Schwartz Nov. 17, 2003

Nov. 17, 2003

I am trying to interchange two pieces of an array. Here is my demo code: >>> from Numeric import * >>> a=array([.7,.1,.1,.1]) >>> a=multiply.outer(a,a) >>> a=multiply.outer(a,a) >>> sum(sum(sum(sum(a)))) 1.0000000000000002 >>> a[1,0],a[1,1]=a[1,1],a[1,0] >>> sum(sum(sum(sum(a)))) 0.93999999999999972 So a is a four-dimensional array that sums to 1, but when I attempt to switch two 2-d sub-arrays of it I just end up duplicating one of them, shown by a change in the value of the sum (to .94). Is this behavior deliberate? It certainly seems to break Python's tuple-assignment model. What I would ideally like to do is perform this swap without more than two-elements'-worth of temporary storage. I.e. perform it as a pure reference swap or switch each pair of elements one by one, reusing temporary space. Is this possible with Numeric (or Numarray?)? Curious, Ben

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Nov. 14, 2003

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Re: [Numpy-discussion] Notes on transitioning to numarray.
by Todd Miller Nov. 10, 2003

Nov. 10, 2003

On Mon, 2003-11-10 at 13:17, Tim Hochberg wrote: > Ah. I was sort of under the impression that the bugs database for > Numeric/.numarray on SourceForge was non active. Probably because of all > the Numeric bugs that have been sitting there for years. Next time I'll > go ahead and enter the bug reports there as well. There's a separate tracker called "Numarray Bugs" which is only visible on the "Trackers" page. In contrast, "Bugs" is visible on every page. Bugs filed in "Bugs" are for Numeric, but can now be re-assigned to "Numarray Bugs". There's only one e-mail address for "Bugs" and it's currently pointing to me; this is only so I can re-assign the numarray related bugs to numarray; I don't usually (ever?) work on Numeric. Regards, Todd -- Todd Miller Space Telescope Science Institute 3700 San Martin Drive Baltimore MD, 21030 (410) 338 - 4576

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