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I have a question on how to plot an interactive (in the sense of the data being displayed through a selection and being able to zoom, pan, etc... on the plot) heatmap (or quadrilateral mesh) of a variable statistic.
Following the tutorial on jupyter integration (https://vaex.io/docs/tutorial_jupyter.html#) I understood that it only apply to count. Did I missed something?
For potential discussions, we can consider a dataframe df with the columns time, lat, lon and var. var being the variable upon which the statistic (mean) is computed over time, binned by lat and lon. A non-interactive version would be:
df.viz.heatmap("lon", "lat", what="mean(var)")
Regards,
Vadim
The text was updated successfully, but these errors were encountered:
Hi,
I have a question on how to plot an interactive (in the sense of the data being displayed through a
selection
and being able to zoom, pan, etc... on the plot) heatmap (or quadrilateral mesh) of a variable statistic.Following the tutorial on jupyter integration (https://vaex.io/docs/tutorial_jupyter.html#) I understood that it only apply to count. Did I missed something?
For potential discussions, we can consider a dataframe
df
with the columnstime
,lat
,lon
andvar
.var
being the variable upon which the statistic (mean) is computed overtime
, binned bylat
andlon
. A non-interactive version would be:Regards,
Vadim
The text was updated successfully, but these errors were encountered: