1D line plot with data on the x axis

Consider the following Dataset, representing a function f = cos(z)

z = np.arange(10)
ds = xray.Dataset( {'f': ('z', np.cos(z))}, coords={'z': z})

If I call

ds.f.plot()

xray naturally puts “z” on the x-axis.

However, since z represents the vertical dimension, it would be more natural do put it on the y-axis, i.e.

plt.plot(ds.f, ds.z)

This is conventional in atmospheric science and oceanography for buoy data or balloon data.

Is there an easy way to do this with xray’s plotting functions? I scanned the code and didn’t see an obvious solution, but maybe I missed it.

[shoyer]

I don’t think we have an easy way to do this now.

Seaborn uses the keyword argument orient='h' or orient='v' to control orientation for categorical plots like violinplot. That might be a reasonable API to emulate here.

[dcherian]

@kuchaale Thanks!