Try rescale factor (#1347)

### Before submitting

Please complete the following checklist when submitting a PR:

- [ ] Ensure that your tutorial executes correctly, and conforms to the
      guidelines specified in the [README](../README.md).

- [ ] Remember to do a grammar check of the content you include.
- [ ] All tutorials conform to
      [PEP8 standards](https://www.python.org/dev/peps/pep-0008/).
      To auto format files, simply `pip install black`, and then
      run `black -l 100 path/to/file.py`.

When all the above are checked, delete everything above the dashed
line and fill in the pull request template.


------------------------------------------------------------------------------------------------------------

**Title:**

**Summary:**

**Relevant references:**

**Possible Drawbacks:**

**Related GitHub Issues:**

----
If you are writing a demonstration, please answer these questions to
facilitate the marketing process.

* GOALS — Why are we working on this now?

*Eg. Promote a new PL feature or show a PL implementation of a recent
paper.*


* AUDIENCE — Who is this for?

*Eg. Chemistry researchers, PL educators, beginners in quantum
computing.*


* KEYWORDS — What words should be included in the marketing post?


* Which of the following types of documentation is most similar to your
file?
(more details
[here](https://www.notion.so/xanaduai/Different-kinds-of-documentation-69200645fe59442991c71f9e7d8a77f8))
    
- [ ] Tutorial
- [ ] Demo
- [ ] How-to

Author: JerryChen97

demonstrations/tutorial_zx_calculus.metadata.json

@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2023-06-06T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-04-10T00:00:00+00:00",
     "categories": [
         "Quantum Computing"
     ],

demonstrations/tutorial_zx_calculus.py

@@ -547,6 +547,18 @@ def circuit():
 manager.canvas.figure = fig
 fig.set_canvas(manager.canvas)
 
+# Access axes and modify limits
+ax = fig.axes[0]
+xlim = ax.get_xlim()
+ylim = ax.get_ylim()
+
+# Expand limits by 10% to "zoom out"
+zoom_factor = 0.2
+x_margin = (xlim[1] - xlim[0]) * zoom_factor
+y_margin = (ylim[1] - ylim[0]) * zoom_factor
+ax.set_xlim(xlim[0] - x_margin, xlim[1] + x_margin)
+ax.set_ylim(ylim[0] - y_margin, ylim[1] + y_margin)
+
 plt.show()
 
 #############################################################################