Currently one cannot coerce R "logical" vectors to a numpy vector:
>>> import rpy2.rinterface as ri >>> np.asarray(ri.SexpVector([True, False], ri.LGLSXP)) [...] ValueError: unsupported typestring The problem is that rpy2 is describing that SEXP as containing an array of 32-bit (!) booleans. That is actually correct; R (for whatever odd reason) uses full int's to store boolean values, and in fact NA_LOGICAL is 0x80000000. However, numpy only understands 8-bit booleans. Since numpy is effectively the only consumer for the sexp array interface, and in any case it is nice to convert R logical vectors to a type that allows the 3-way TRUE/FALSE/NA distinction, the attached patch changes array.c so that rpy2 will report logical vectors as composed of integers rather than booleans. Tests included, but I haven't run them, because current tip fails to build for me (rpy_device.c:1175: error: `DevDesc' undeclared...). -- Nathaniel ------------------------------------------------------------------------------ Create and Deploy Rich Internet Apps outside the browser with Adobe(R)AIR(TM) software. With Adobe AIR, Ajax developers can use existing skills and code to build responsive, highly engaging applications that combine the power of local resources and data with the reach of the web. Download the Adobe AIR SDK and Ajax docs to start building applications today-http://p.sf.net/sfu/adobe-com _______________________________________________ rpy-list mailing list rpy-list@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/rpy-list
