def _prepare_data(self, datasets):
interpolate = True
stack = stack_datasets(datasets)
if interpolate:
(x, z) = interpolate_datasets(stack, points=4800)
x = array([x] * len(datasets))
else:
x, z = map(np.transpose, np.transpose(stack))
return x, None, z
def _prepare_data(self, datasets):
interpolate = True
stack = stack_datasets(datasets)
if interpolate:
(x, z) = interpolate_datasets(stack, points=4800)
x = array([x] * len(datasets))
else:
x, z = map(np.transpose, np.transpose(stack))
return x, None, z
def _prepare_data(self, datasets):
stack = stack_datasets(datasets)
x = stack[:,:,0]
z = stack[:,:,1]
y = array([ [i]*z.shape[1] for i in range(1, len(datasets) + 1) ])
self.x_upper = x[0,-1]
self.z_upper = z.max()
return x, y, z
def __init__(self, *args, **kws):
self._set_plots(
StackedPlot(),
Surface2DPlot(),
MplPlot(callback_obj=self),
)
super(PlotGenerator, self).__init__(*args, **kws)
self.datasets = kws['datasets']
self.stack = stack_datasets(self.datasets)
self.cached_data = {}
self._plot_type_changed()
def __init__(self, *args, **kws):
self._set_plots(
StackedPlot(),
Surface2DPlot(),
MplPlot(callback_obj=self),
)
super(PlotGenerator, self).__init__(*args, **kws)
self.datasets = kws['datasets']
self.stack = stack_datasets(self.datasets)
self.cached_data = {}
self._plot_type_changed()
def _prepare_data(self, datasets):
stack = stack_datasets(datasets)
x, y, z = bin_data(stack, 600)
xi, yi, zi = cubic_interpolate(x, y, z, 600, 600)
zi = np.clip(zi, 1, zi.max())
return xi, yi, zi
def _prepare_data(self, datasets):
stack = stack_datasets(datasets)
x, y, z = bin_data(stack, 600)
xi, yi, zi = cubic_interpolate(x, y, z, 600, 600)
zi = np.clip(zi, 1, zi.max())
return xi, yi, zi