pydata / pydata/xarray

Unable to use aspect="equal" in plot.imshow() whereas option is given in the doc

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Description

What is your issue?

I'm using the version 2023.12.0.

In the doc of imshow (https://docs.xarray.dev/en/stable/generated/xarray.DataArray.plot.imshow.html) it is written for the aspect parameter:

aspect ("auto", "equal", scalar or None, optional) – Aspect ratio of plot, so that aspect * size gives the width in inches. Only used if a size is provided.

But if I try this simple code:

import xarray as xr
import numpy as np
import matplotlib.pyplot as plt

data_array = np.random.randint(0, 255, size=(3, 2), dtype=np.uint8)
xarray_data = xr.DataArray(data_array, dims=('dim1', 'dim2'))
xarray_data.plot.imshow(size=5, aspect="equal")
plt.show()

I get the following error:

...
  File "...\lib\site-packages\xarray\plot\dataarray_plot.py", line 1598, in newplotfunc
    raise ValueError("plt.imshow's `aspect` kwarg is not available in xarray")
ValueError: plt.imshow's `aspect` kwarg is not available in xarray

Indeed in the code here there is:

        if "imshow" == plotfunc.__name__ and isinstance(aspect, str):
            # forbid usage of mpl strings
            raise ValueError("plt.imshow's `aspect` kwarg is not available in xarray")

which seems quite clear.

So is there something I'm doing wrong or is it an issue between doc and code ? Thanks !

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Reproduce the example first, then inspect xarray/plot/dataarray_plot.py around the imshow aspect guard and compare it with the linked DataArray.plot.imshow documentation. Determine whether the documented aspect values or the implementation should be aligned, update the relevant behavior or documentation, and add coverage for the resolved behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
matplotlib, python
Domain
data-visualization
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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