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See comment from #27033 (review):

(Copied here for convenience, note that it was written originally for bar, so swap horizontal/vertical etc, but the sentiment is the same)

I think the bar graphs with dates on the vertical (for bar, horizonatal for barh) axis should be given a bit more care here. That there is an implicit 0 mark, which results in 1970-01-01 is not a particularly good representation of a bar plot.

I think that for this, there should be a bottom argument specified as a datetime and then using a timedelta instead of a datetime for the heights, as indicated by the bar docstring

Here is some code I wrote for someone who had started working on this but never opened a PR:

import matplotlib.pyplot as plt
import numpy as np
from datetime import datetime, timedelta
import matplotlib as mpl

mpl.rcParams["date.converter"] = 'concise'
fig, (ax1, ax2) = plt.subplots(2, 1, layout='constrained')
price_date = np.array([  datetime(2020, 6, 30),
                datetime(2020, 7, 22),
                datetime(2020, 8, 3),
                datetime(2020, 9, 14)], dtype=np.datetime64)

price_close = [8800, 2600, 8500, 7400]
start_date = np.datetime64(datetime(2020, 6, 1))

ax1.bar(price_date, price_close, width=np.timedelta64(4, "D"))
ax2.bar(np.arange(4), price_date-start_date, bottom=start_date)

Note the start_date and price_date-start_date in this example.