displot(.., rug=True) results in TypeError with pd.Timestamp data

[nocluebutalotofit]

The following code:

import seaborn as sb
import pandas as pd

df = pd.DataFrame( {0: {976: pd.Timestamp('2021-03-10 00:00:00'), 1135: pd.Timestamp('2021-03-10 00:00:00'), 688: pd.Timestamp('2021-03-10 00:00:00'), 260: pd.Timestamp('2005-01-07 00:00:00'), 30: pd.Timestamp('2006-03-31 00:00:00'), 86: pd.Timestamp('2021-03-10 00:00:00'), 213: pd.Timestamp('2021-03-10 00:00:00'), 659: pd.Timestamp('2021-03-10 00:00:00'), 1007: pd.Timestamp('2021-03-10 00:00:00'), 211: pd.Timestamp('2021-03-10 00:00:00')}} )

sb.displot(data=df.loc[:,0], rug=True)

results in:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-63-15474ccedd7d> in <module>
      4 df = pd.DataFrame( {0: {976: pd.Timestamp('2021-03-10 00:00:00'), 1135: pd.Timestamp('2021-03-10 00:00:00'), 688: pd.Timestamp('2021-03-10 00:00:00'), 260: pd.Timestamp('2005-01-07 00:00:00'), 30: pd.Timestamp('2006-03-31 00:00:00'), 86: pd.Timestamp('2021-03-10 00:00:00'), 213: pd.Timestamp('2021-03-10 00:00:00'), 659: pd.Timestamp('2021-03-10 00:00:00'), 1007: pd.Timestamp('2021-03-10 00:00:00'), 211: pd.Timestamp('2021-03-10 00:00:00')}} )
      5 
----> 6 sb.displot(data=df.loc[:,0], rug=True)

~/anaconda3/envs/env_system/lib/python3.8/site-packages/seaborn/distributions.py in displot(data, x, y, hue, row, col, weights, kind, rug, rug_kws, log_scale, legend, palette, hue_order, hue_norm, color, col_wrap, row_order, col_order, height, aspect, facet_kws, **kwargs)
   2286         if color is not None:
   2287             rug_kws["color"] = color
-> 2288         p.plot_rug(**rug_kws)
   2289 
   2290     # Call FacetGrid annotation methods

~/anaconda3/envs/env_system/lib/python3.8/site-packages/seaborn/distributions.py in plot_rug(self, height, expand_margins, legend, **kws)
   1310 
   1311             if "x" in self.variables:
-> 1312                 self._plot_single_rug(sub_data, "x", height, ax, kws)
   1313             if "y" in self.variables:
   1314                 self._plot_single_rug(sub_data, "y", height, ax, kws)

~/anaconda3/envs/env_system/lib/python3.8/site-packages/seaborn/distributions.py in _plot_single_rug(self, sub_data, var, height, ax, kws)
   1338 
   1339             trans = tx.blended_transform_factory(ax.transData, ax.transAxes)
-> 1340             xy_pairs = np.column_stack([
   1341                 np.repeat(vector, 2), np.tile([0, height], n)
   1342             ])

<__array_function__ internals> in column_stack(*args, **kwargs)

~/anaconda3/envs/env_system/lib/python3.8/site-packages/numpy/lib/shape_base.py in column_stack(tup)
    654             arr = array(arr, copy=False, subok=True, ndmin=2).T
    655         arrays.append(arr)
--> 656     return _nx.concatenate(arrays, 1)
    657 
    658 

<__array_function__ internals> in concatenate(*args, **kwargs)

TypeError: invalid type promotion

with rug=False no error is thrown.

sb.version = '0.11.0'

[mwaskom]

This works on master (#2458):