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I posted an issue to hvplot.xarray ( https://github.com/pyviz/hvplot/issues/244) where hvplot does not do the right thing. But matplotlib (and hence also xarray.plot) do the right thing.

On Wed, Jul 17, 2019 at 6:40 PM Deepak Cherian notifications@github.com wrote:

Thanks @hetland https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_hetland&d=DwMCaQ&c=u6LDEWzohnDQ01ySGnxMzg&r=T-gqCqhnaasy1XvN-p7wEw&m=lYvy351ebI1zHRWmzq6wpEjUIodwAqOPjEHPdhrnt74&s=7y9VzsWhKiPnJtrkl28cE3aKOFnZn3A8y1m8aDlBbck&e=, good to see you here.

I think this is probably easy to fix by using xr.broadcast to broadcast things before extracting the numpy arrays. Can you send in a PR?

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Thanks @hetland, good to see you here.

I think this is probably easy to fix by using xr.broadcast to broadcast things before extracting the numpy arrays. Can you send in a PR?

Thanks for the report.

I think should be relatively straightforward to fix, assuming that the underlying maptlotlib plotting functions handle 2D coordinates.

For reference, here's the full error traceback: ``` ValueError Traceback (most recent call last) <ipython-input-6-8d3b2b196427> in <module>() ----> 1 ds.data[0].plot.pcolormesh(x='x', y='zt')

3 frames /usr/local/lib/python3.6/dist-packages/xarray/plot/plot.py in plotmethod(_PlotMethods_obj, x, y, figsize, size, aspect, ax, row, col, col_wrap, xincrease, yincrease, add_colorbar, add_labels, vmin, vmax, cmap, colors, center, robust, extend, levels, infer_intervals, subplot_kws, cbar_ax, cbar_kwargs, xscale, yscale, xticks, yticks, xlim, ylim, norm, kwargs) 697 for arg in ['_PlotMethods_obj', 'newplotfunc', 'kwargs']: 698 del allargs[arg] --> 699 return newplotfunc(allargs) 700 701 # Add to class _PlotMethods

/usr/local/lib/python3.6/dist-packages/xarray/plot/plot.py in newplotfunc(darray, x, y, figsize, size, aspect, ax, row, col, col_wrap, xincrease, yincrease, add_colorbar, add_labels, vmin, vmax, cmap, center, robust, extend, levels, infer_intervals, colors, subplot_kws, cbar_ax, cbar_kwargs, xscale, yscale, xticks, yticks, xlim, ylim, norm, **kwargs) 583 # check if we need to broadcast one dimension 584 if xval.ndim < yval.ndim: --> 585 xval = np.broadcast_to(xval, yval.shape) 586 587 if yval.ndim < xval.ndim:

/usr/local/lib/python3.6/dist-packages/numpy/lib/stride_tricks.py in broadcast_to(array, shape, subok) 180 [1, 2, 3]]) 181 """ --> 182 return _broadcast_to(array, shape, subok=subok, readonly=True) 183 184

/usr/local/lib/python3.6/dist-packages/numpy/lib/stride_tricks.py in _broadcast_to(array, shape, subok, readonly) 127 it = np.nditer( 128 (array,), flags=['multi_index', 'refs_ok', 'zerosize_ok'] + extras, --> 129 op_flags=[op_flag], itershape=shape, order='C') 130 with it: 131 # never really has writebackifcopy semantics

ValueError: operands could not be broadcast together with remapped shapes [original->remapped]: (101,) and requested shape (101,51) ```