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Add test_bar in test_datetime #27033

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Merged
merged 7 commits into from
Dec 5, 2023

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kots14
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@kots14 kots14 commented Oct 8, 2023

PR summary

Version 4:
Modified tests and raised a revision

Version 4 Image output -
TestBar

Version 3:
Modified tests and raised a revision

Version 3 Image output -
TestBar

Version 2:
Modified tests as per this and this

Version 2 Image output -
RevisionBarGraphMatplotlib

Version 1:
Adding code for test_bar method in test_datetime.py mentioned in #26864

Version 1 Image output -
matplotlib_bar

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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.

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ksunden commented Oct 9, 2023

Also, while in your example it is not a bad width, I may suggest also testing the width argument (in units of timedelta) when the horizontal axis is datetime'd, as that is another place where problems could creep in in this method in particular.

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kots14 commented Oct 10, 2023

Thanks for the suggestions. I'll modify the code and raise a revision.

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kots14 commented Oct 12, 2023

I'll be raising the revision in next 3 days.

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kots14 commented Oct 14, 2023

@ksunden I've raised a revision. Please review the changes.

@kots14 kots14 requested a review from ksunden October 15, 2023 17:28
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ksunden commented Oct 15, 2023

There still appear to be the implicit 1970 in the new version

And it is very hard to see what is happening in especially the middle two plots (but also the top plot) as the widths overlap all of the bars. A single width is probably sufficient, we just mostly want to test it out that it handles the units as expected, so changing from the default is a good check.

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kots14 commented Oct 16, 2023

Noted.
I'll modify the PR.
Update : Need 2 more days before raising the revision.

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kots14 commented Oct 21, 2023

@ksunden
I've raised a revision. Please review.

@kots14 kots14 requested a review from ksunden October 24, 2023 19:25
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bar

I was confused by the image added in the post,which seemed to get rid of the date axis on the y axis of the bottom plot, but I actually do keep it when I run this code, see attached.

@ksunden ksunden added this to the v3.9.0 milestone Oct 26, 2023
@QuLogic QuLogic merged commit 4b77763 into matplotlib:main Dec 5, 2023
@kots14 kots14 deleted the axes-bar-unit-test-for-issue-26864 branch January 1, 2024 10:20
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4 participants