Comments (3)
I have setup a Jupyter Notebook for reproducing the issue with an example of my data at https://github.com/pedroaugustosmribeiro/test_hvplot
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Thanks @pedroaugustosmribeiro for reporting this issue and the example to reproduce it! I think what it comes down to is that the explorer doesn't pick nice defaults like .hvplot()
does. When da.hvplot.image()
is called, hvPlot infers x
should be lon
and y
should be lat
.
However, the explorer doesn't and ends up with the slightly awkward combination of time
for x
and lon
for y
.
With the Bokeh plotting library this combination sorts of work, or at least it doesn't break immediately. Forcing the explorer to be instantiated with better values, it works well with the matplotlib and plotly backends:
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oh, thank you @maximlt
from hvplot.
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