I am trying to create a set of hexbin plots with multiple axes using
hvplot. However, the maximum values are different for different plots. The result is that different plots have different size hexes. This makes direct comparison difficult. Is there a way to have a fixed hex size across all plots? The “gridsize” option doesn’t work, it makes them bigger or smaller but still inconsistent.
Here is an example:
import numpy as np import hvplot.pandas import xarray as xr data = np.tri(3, 3, 1).T[..., None]*np.tri(3, 3, 1) data[data==0] = np.NaN da = xr.DataArray(data, dims=["X", "Y", "Z"]) da.to_dataframe(name='test').dropna().hvplot.hexbin(x="X", y="Y", row="Z", gridsize=10)
Attached is the result. Notice the hexes are squashed vertically in the third example. Leaving
gridsize off still has the same problem, but it is less obvious due to their small size.