示例#1
0
def get_imagetype(request, parameter=None, default=None):
    parameter = parameter or 'styles'
    default = default or 'filledcontours'
    try:
        z = split(request.GET.get(parameter).split(',')[0], '_', maxsplit=1)[0].lower()
        assert z
        return z
    except (AssertionError, IndexError, AttributeError, TypeError):
        return default
示例#2
0
def get_colormap(request, parameter=None, default=None):
    parameter = parameter or 'styles'
    default = default or 'cubehelix'
    try:
        from matplotlib.pyplot import colormaps
        requested_cm = split(request.GET.get(parameter).split(',')[0], '_', maxsplit=1)[1]
        assert requested_cm
        return next(x for x in colormaps() if x.lower() == requested_cm.lower())
    except (AssertionError, IndexError, AttributeError, TypeError, StopIteration):
        return default
示例#3
0
文件: layer.py 项目: jdickin/sci-wms
    def defaults(self):

        lmin = self.default_min
        lmax = self.default_max
        llog = self.logscale

        default = Variable.objects.filter(std_name=self.std_name, units=self.units).first()
        if default:
            if lmin is None and default.default_min:
                lmin = default.default_min
            if lmax is None and default.default_max:
                lmax = default.default_max
            if llog is None and default.logscale is not None:
                llog = default.logscale

        image_type, colormap = split(self.default_style.code, '_', maxsplit=1)

        return DotDict(min=lmin, max=lmax, logscale=llog, image_type=image_type, colormap=colormap, numcontours=self.default_numcontours)
示例#4
0
    def defaults(self):

        lmin = self.default_min
        lmax = self.default_max
        llog = self.logscale

        default = Variable.objects.filter(std_name=self.std_name,
                                          units=self.units).first()
        if default:
            if lmin is None and default.default_min:
                lmin = default.default_min
            if lmax is None and default.default_max:
                lmax = default.default_max
            if llog is None and default.logscale is not None:
                llog = default.logscale

        image_type, colormap = split(self.default_style.code, '_', maxsplit=1)

        return DotDict(min=lmin,
                       max=lmax,
                       logscale=llog,
                       image_type=image_type,
                       colormap=colormap,
                       numcontours=self.default_numcontours)
示例#5
0
 def to_internal_value(self, data):
     image_type, colormap = split(data, '_', maxsplit=1)
     try:
         return Style.objects.get(image_type=image_type, colormap=colormap)
     except Style.DoesNotExist:
         return None