Plotting methods

[eni-awowale]

What is your issue?

From @TomNicholas

It would be nice to have plotting methods that allow for easily comparing variables in different parts of a tree.

One simple way would be to have a dt.plot(variable, **kwargs) method which uses a legend to distinguish between variables, i.e.

def plot(self, variable, **kwargs):
fig, ax = plt.subplots()

for node in self.subtree:
    da = node[variable]
    da.plot(ax=ax, label=node.name, **kwargs)

ax.legend()
ax.set_title(variable)
plt.show()

The use cases for this would be multi-resolution datasets, or multi-model ensembles, where the user wants to see how a single variable varies across different datasets.

Care would have to be taken to ensure that incompatible dimensions or coordinates were handled smoothly.