Package: python-scipy Version: 0.7.2+dfsg1-1 Severity: normal
Applying scipy.stats.kde.gaussian_kde to a list of integers, e.g. [1,2,3,4,5], is not same as applying it to a list of floats [1.0, 2.0, 3.0, 4.0, 5.0]. This is quite surprising and should probably be fixed. The output for integers appears to be always 0, although I did not test with very wide range of inputs. This is probably a bug in the internals of gaussian_kde, since it probably converts the input into a NumPy array without specifying the type, and then does math on it expecting it to be an array of floats, whereas it will be an array of some integral type if input is all-integral. Converting input to floating point types manually allows one to work around this issue. Expected: python -c 'import scipy.stats;l=[1,2,3,3,3,3,4,5];k=[1,2,3,4,5];print scipy.stats.kde.gaussian_kde(l)(k) == scipy.stats.kde.gaussian_kde(map(float, l))(k)' to print [True True True True True] Actual: python -c 'import scipy.stats;l=[1,2,3,3,3,3,4,5];k=[1,2,3,4,5];print scipy.stats.kde.gaussian_kde(l)(k) == scipy.stats.kde.gaussian_kde(map(float, l))(k)' prints [False False False False False] -- System Information: Debian Release: 6.0.2 APT prefers stable-updates APT policy: (500, 'stable-updates'), (500, 'stable') Architecture: amd64 (x86_64) Kernel: Linux 2.6.32-5-amd64 (SMP w/2 CPU cores) Locale: LANG=en_GB.UTF-8, LC_CTYPE=en_GB.UTF-8 (charmap=UTF-8) Shell: /bin/sh linked to /bin/dash Versions of packages python-scipy depends on: ii libamd2.2.0 1:3.4.0-2 approximate minimum degree orderin ii libblas3gf [libblas.so. 1.2-8 Basic Linear Algebra Reference imp ii libc6 2.11.2-10 Embedded GNU C Library: Shared lib ii libgcc1 1:4.4.5-8 GCC support library ii libgfortran3 4.4.5-8 Runtime library for GNU Fortran ap ii liblapack3gf [liblapack 3.2.1-8 library of linear algebra routines ii libstdc++6 4.4.5-8 The GNU Standard C++ Library v3 ii libumfpack5.4.0 1:3.4.0-2 sparse LU factorization library ii python 2.6.6-3+squeeze6 interactive high-level object-orie ii python-central 0.6.16+nmu1 register and build utility for Pyt ii python-numpy 1:1.4.1-5 Numerical Python adds a fast array Versions of packages python-scipy recommends: ii g++ [c++-compiler] 4:4.4.5-1 The GNU C++ compiler ii g++-4.4 [c++-compiler] 4.4.5-8 The GNU C++ compiler Versions of packages python-scipy suggests: pn python-profiler <none> (no description available) -- debconf-show failed -- To UNSUBSCRIBE, email to debian-bugs-dist-requ...@lists.debian.org with a subject of "unsubscribe". Trouble? Contact listmas...@lists.debian.org
