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See comment from#27033 (review):

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

I think the bar graphs with dates on the vertical (forbar, horizonatal forbarh) axis should be given a bit more care here. That there is an implicit0 mark, which results in1970-01-01 is not a particularly good representation of a bar plot.

I think that for this, there should be abottom argument specified as a datetime and then using atimedelta instead of adatetime for the heights, as indicated by thebardocstring

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

importmatplotlib.pyplotaspltimportnumpyasnpfromdatetimeimportdatetime,timedeltaimportmatplotlibasmplmpl.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 thestart_date andprice_date-start_date in this example.