I have an xarray Dataset in python. I would like to plot two dependent (data) variables against each other using the hvplot library. Here's a simple example dataset:
import numpy as np
import xarray as xr
import hvplot.xarray
# Create the dataset
time = np.linspace(0,10)
x = time*2 + 1
y = time*3 - 1
ds = xr.Dataset()
ds.coords['time'] = time
ds['x'] = (['time'],x)
ds['y'] = (['time'],y)
# Output
<xarray.Dataset>
Dimensions: (time: 50)
Coordinates:
* time (time) float64 0.0 0.2041 0.4082 0.6122 ... 9.388 9.592 9.796 10.0
Data variables:
x (time) float64 1.0 1.408 1.816 2.224 ... 19.78 20.18 20.59 21.0
y (time) float64 -1.0 -0.3878 0.2245 0.8367 ... 27.78 28.39 29.0
It's easy to plot x or y against time just by
ds.x.hvplot()
However what I want is to plot x against y. I would have expected this to work:
ds.hvplot(x='x',y='y')
but this only plots one point at a time, with a slider for the 'time' coordinate. xarray has a plot function which does plot as expected using matplotlib.
ds.plot.scatter(x='x',y='y')
Is there any way to reproduce this with hvplot?
Another possibility:
ds.y.assign_coords(x=ds.x).hvplot.scatter(x="x", y="y")