Phil Thompson wrote: > Are numpy numbers regular ints/floats or are they a sub-class specific to > numpy? > > QVariant has been changed (over time) to make sure that no information is > lost when converting from and to the original object. So an int sub-class > will stay as a Python object and will not get converted to a C++ int. > > If this is the problem then the fix is to explicitly convert the numpy > number to a base Python type before converting to a QVariant... > > return QVariant(float(a[0])) > > ...and this will work for older versions as well.
That workaround works well - thanks. numpy numbers have their own type (there are actually several types as you can choose the precision), so that's probably what causes the QVariant problems: In [1]: import numpy In [2]: a = numpy.array([1.]) In [3]: type(a[0]) Out[3]: <type 'numpy.float64'> Jeremy -- http://www.jeremysanders.net/ _______________________________________________ PyQt mailing list [email protected] http://www.riverbankcomputing.com/mailman/listinfo/pyqt
