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Symmetric_clim for hv.scalar #343

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Symmetric_clim for hv.scalar #343

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20 changes: 15 additions & 5 deletions discretisedfield/plotting/hv.py
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Original file line number Diff line number Diff line change
Expand Up @@ -224,7 +224,7 @@ def callback(*args, **kwargs):
else:
return self.scalar(kdims=kdims, **scalar_kw)

def scalar(self, kdims, roi=None, n=None, **kwargs):
def scalar(self, kdims, roi=None, n=None, symmetric_clim=False, **kwargs):
"""Create an image plot for scalar data or individual components.

This method creates a dynamic holoviews plot (``holoviews.DynamicMap``) based on
Expand Down Expand Up @@ -270,6 +270,11 @@ def scalar(self, kdims, roi=None, n=None, **kwargs):
Re-sampling of the array with the given number of points. If not specified
no re-sampling is done.

symmetric_clim : bool, optional

If set to ``True`` the colourbar is centred around 0. Defaults to ``False``.
This argument has no effect if ``clim`` is passed as an argument.

kwargs

Additional keyword arguments that are forwarded to ``.opts`` of the
Expand Down Expand Up @@ -315,22 +320,27 @@ def scalar(self, kdims, roi=None, n=None, **kwargs):
roi = self._setup_roi(roi, kdims)
self._check_n(n)

def _plot(*values):
def _plot(symmetric_clim, *values):
data = self.callback(**dict(zip(dyn_kdims, values)))
data = self._filter_values(
data, roi, kdims, dyn_kdims=dict(zip(dyn_kdims, values))
)
data = self._resample(data, kdims, n)

if symmetric_clim and "clim" not in kwargs:
vabs_max = np.nanmax(np.abs(data.data))
kwargs["clim"] = (-vabs_max, vabs_max)

plot = hv.Image(data=data, kdims=kdims).opts(**kwargs)

for dim in plot.kdims:
dim.unit = self.key_dims[dim.name].unit

return plot

return hv.DynamicMap(_plot, kdims=dyn_kdims).redim.values(
**{dim: self.key_dims[dim].data for dim in dyn_kdims}
)
return hv.DynamicMap(
functools.partial(_plot, symmetric_clim), kdims=dyn_kdims
).redim.values(**{dim: self.key_dims[dim].data for dim in dyn_kdims})

def vector(
self,
Expand Down