issue_comments

Yes I think something like this (though ugly) will be necessary.

if I understand correctly, this happens here: https://github.com/pydata/xarray/blob/5883a460b8fa9a72a2f12ee6495665bb7cc304f6/xarray/plot/plot.py#L295-L300

where xlabel and ylabel are extracted from xplt and yplt using label_from_attrs. In _resolve_intervals_1dplot xlabel and ylabel simply get the _center suffix, it is not used for anything else. Wouldn't it be possible to modify the calls of _infer_line_data and _resolve_intervals_1dplot to something like this: ```python xplt, yplt, hueplt, hue_label = _infer_line_data(darray, x, y, hue)

# Remove pd.Intervals if contained in xplt.values and/or yplt.values. 
xplt_val, yplt_val, x_suffix, y_suffix, kwargs = _resolve_intervals_1dplot( 
    xplt.values, yplt.values, kwargs 
)
xlabel = label_from_attrs(xplt, extra=x_suffix)
ylabel = label_from_attrs(yplt, extra=y_suffix)

`` and then have_resolve_intervals_1dplotreturn either"_center"or""asx_suffixandy_suffix`.

Oh sorry I misunderstood that bit. Yes, that looks like a bug. A PR would be welcome. I guess you should add a suffix kwarg to the plot.utils.label_from_attrs function.

@dcherian: OK, thanks, now I understand why it is happening -- there's no unambiguous way to represent the intervals as floats, so one needs to use either the left/right/midpoint & indicate that. For my case, I think I will just replace the array of intervals with the array of midpoints of the intervals.

The "_center" tag still doesn't work with the automatic units labeling though:

import xarray as xr import numpy as np data_vars={'y':('x',np.ones((101)),{'units':'kg/m'})} coords={'x':('x',np.linspace(0,1,101,endpoint=True),{'units':'m'})} ds = xr.Dataset(data_vars,coords) dsd = ds.groupby_bins('x',np.linspace(0,1,11,endpoint=True),right=False).sum(dim='x') dsd.x_bins.attrs = dsd.x_bins.attrs dsd.y.plot() #The x-axis label still looks like "x [m]_center"

The "_center" tag should be applied before the "[m]" one.

This is because x_bins contains interval objects. .plot is calculating the center of the interval and letting you know that it is doing so.

If you want that line plot please use ax.set_xlabel, otheriwse try .plot.step which will more faithfully represent the intervals with label x_bins