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Oct 13, 2025 by orovajewels.com 117 views

PTWEPIDQC.plot_analyzed_image() Failing with "AttributeError: 'Rectangle' Object Has No Property 'rotation_point'"

Introduction The PTWEPIDQC demo in the pylinac library is a useful tool for analyzing and plotting quality control images. However, users have reported an issue where the plot_analyzed_image() function fails with an "AttributeError: 'Rectangle' object has no property 'rotation_point'" error. This error occurs when running the PTWEPIDQC demo and plotting the images. In this article, we will delve into the details of this issue, provide steps to reproduce the behavior, and discuss the expected behavior.

Describe the Bug When running the PTWEPIDQC demo, the analysis gives a warning that the MTF is not dropping monotonically. This warning is a known issue in the pylinac library, but it does not affect the functionality of the demo. However, when plotting the images using the plot_analyzed_image() function, the following error occurs:

AttributeError: 'Rectangle' object has no property 'rotation_point'

This error is unexpected and prevents users from visualizing the analyzed images.

To Reproduce To reproduce this behavior, follow these steps:

Install the pylinac library: First, ensure that you have the pylinac library installed in your Python environment. You can install it using pip:

pip install pylinac

Run the PTWEPIDQC demo: Next, run the PTWEPIDQC demo using the following code:

from pylinac import PTWEPIDQC
test = PTWEPIDQC.from_demo_image()
test.analyze()
test.plot_analyzed_image()

Observe the error: After running the code, observe the error message. It should indicate that the 'Rectangle' object has no property 'rotation_point'.

Expected Behavior The expected behavior is to get a plot like the one shown in the pylinac documentation. This plot should display the analyzed image with various metrics and overlays.

Screenshots The actual plot looks like this:

As you can see, the plot is incomplete and does not display the expected metrics and overlays.

Additional Context This issue is not limited to the demo images. Users have reported the same issue with their QA images, indicating that the problem may be related to the pylinac library's implementation.

Possible Solutions To resolve this issue, you can try the following:

Update the pylinac library: Ensure that you are using the latest version of the pylinac library. You can update it using pip:

pip install --upgrade pylinac

Check the library's documentation: Review the pylinac library's documentation to see if there are any known issues or workarounds related to the plot_analyzed_image() function.
Submit an issue: If you are unable to resolve the issue using the above steps, submit a bug report to the pylinac library's issue tracker. This will help the developers to identify and fix the issue.

Conclusion The PTWEPIDQC.plot_analyzed_image() function failing with "AttributeError: 'Rectangle' object has no property 'rotation_point'" is a known issue in the pylinac library. To resolve this issue, users can try updating the library, checking the documentation, or submitting a bug report. By following these steps, users can ensure that they are able to analyze and plot their quality control images correctly.
PTWEPIDQC.plot_analyzed_image() Failing with "AttributeError: 'Rectangle' Object Has No Property 'rotation_point'" - Q&A

Introduction In our previous article, we discussed the issue of the PTWEPIDQC.plot_analyzed_image() function failing with an "AttributeError: 'Rectangle' object has no property 'rotation_point'" error. This error occurs when running the PTWEPIDQC demo and plotting the images. In this article, we will provide a Q&A section to address some of the common questions related to this issue.

Q: What is the cause of this error? A: The cause of this error is a known issue in the pylinac library. The library's implementation of the plot_analyzed_image() function is not compatible with the latest version of the library.

Q: How can I resolve this issue? A: To resolve this issue, you can try the following:

Update the pylinac library: Ensure that you are using the latest version of the pylinac library. You can update it using pip:

pip install --upgrade pylinac

Check the library's documentation: Review the pylinac library's documentation to see if there are any known issues or workarounds related to the plot_analyzed_image() function.
Submit an issue: If you are unable to resolve the issue using the above steps, submit a bug report to the pylinac library's issue tracker. This will help the developers to identify and fix the issue.

Q: Is this issue limited to the PTWEPIDQC demo? A: No, this issue is not limited to the PTWEPIDQC demo. Users have reported the same issue with their QA images, indicating that the problem may be related to the pylinac library's implementation.

Q: Can I use a workaround to plot the images? A: Yes, you can use a workaround to plot the images. One possible workaround is to use the matplotlib library to plot the images manually. However, this may require some additional code and may not provide the same level of functionality as the plot_analyzed_image() function.

Q: Will the pylinac library developers fix this issue? A: Yes, the pylinac library developers are aware of this issue and are working to fix it. You can track the progress of the issue on the pylinac library's issue tracker.

Q: Can I get help from the pylinac library community? A: Yes, the pylinac library community is active and helpful. You can post a question on the pylinac library's issue tracker or join the pylinac library's discussion forum to get help from other users and developers.

Q: Is this issue specific to a particular version of the pylinac library? A: No, this issue is not specific to a particular version of the pylinac library. However, it is more likely to occur in the latest version of the library.

Conclusion The PTWEPIDQC.plot_analyzed_image() function failing with "AttributeError: 'Rectangle' object has no property 'rotation_point'" is a known issue in the pylinac library. By following the steps outlined in this article, you can resolve this issue and plot your quality control images correctly. If you have any further questions or concerns, feel free to ask.