prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  BUG: modifications through matplotlib engine cannot be properly displayed
  <!--To help us understand and resolve your issue, please fill out the form to
  the best of your ability.-->
  <!--You can feel free to delete the sections that do not apply.-->
  
  ### Bug report
  
  **Bug summary**
  
  The Modifications through Matplotlib engine cannot be properly displayed. 
  
  Taking the following code for example, the expected modifications can only be shown by the containing matplotlib figure object like `fig.savefig("sloshing.png")`. 
  
  **Code for reproduction**
  
  adapted from [docs](https://yt-project.org/docs/dev/cookbook/simple_plots.html#accessing-and-modifying-plots-directly) (also broken there)
  
  ```python
  import numpy as np
  
  import yt
  
  # Load the dataset.
  ds = yt.load("GasSloshing/sloshing_nomag2_hdf5_plt_cnt_0150")
  
  # Create a slice object
  slc = yt.SlicePlot(ds, "x", ("gas", "density"), width=(800.0, "kpc"))
  
  # Get a reference to the matplotlib axes object for the plot
  ax = slc.plots[("gas", "density")].axes
  
  # Let's adjust the x axis tick labels
  for label in ax.xaxis.get_ticklabels():
      label.set_color("red")
      label.set_fontsize(16)
  
  # Get a reference to the matplotlib figure object for the plot
  fig = slc.plots[("gas", "density")].figure
  
  # And create a mini-panel of a gaussian histogram inside the plot
  rect = (0.2, 0.2, 0.2, 0.2)
  new_ax = fig.add_axes(rect)
  
  n, bins, patches = new_ax.hist(
      np.random.randn(1000) + 20, 50, facecolor="black", edgecolor="black"
  )
  
  # Make sure its visible
  new_ax.tick_params(colors="white")
  
  # And label it
  la = new_ax.set_xlabel("Dinosaurs per furlong")
  la.set_color("white")
  
  slc.save()
  ```
  
  **Actual outcome**
  
  ![iTerm2 1b3woO sloshing_nomag2_hdf5_plt_cnt_0150_Slice_x_density](https://github.com/yt-project/yt/assets/22034707/9bece844-afaa-4327-9660-05a4d009c137)
  
  **Expected outcome**
  
  The changes of the x-axis tick labels
  ![iTerm2 h1XCIV sloshing](https://github.com/yt-project/yt/assets/22034707/8178509e-88ef-4eeb-9d28-ce3438ffd900)
  
  **Version Information**
    * Operating System: MacOS 14.1.1 and Red Hat Enterprise Linux Server release 7.8 (Maipo)
    * Python Version: 3.9
    * yt version: 4.2.1 and 4.3.0
  
  <!--Please tell us how you installed yt and python e.g., from source,
  pip, conda. If you installed from conda, please specify which channel you used
  if not the default-->
  
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `doc/source/cookbook/simple_slice_matplotlib_example.py`
  Content:
  ```
  1 import numpy as np
  2 
  3 import yt
  4 
  5 # Load the dataset.
  6 ds = yt.load("GasSloshing/sloshing_nomag2_hdf5_plt_cnt_0150")
  7 
  8 # Create a slice object
  9 slc = yt.SlicePlot(ds, "x", ("gas", "density"), width=(800.0, "kpc"))
  10 
  11 # Get a reference to the matplotlib axes object for the plot
  12 ax = slc.plots[("gas", "density")].axes
  13 
  14 # Let's adjust the x axis tick labels
  15 for label in ax.xaxis.get_ticklabels():
  16     label.set_color("red")
  17     label.set_fontsize(16)
  18 
  19 # Get a reference to the matplotlib figure object for the plot
  20 fig = slc.plots[("gas", "density")].figure
  21 
  22 # And create a mini-panel of a gaussian histogram inside the plot
  23 rect = (0.2, 0.2, 0.2, 0.2)
  24 new_ax = fig.add_axes(rect)
  25 
  26 n, bins, patches = new_ax.hist(
  27     np.random.randn(1000) + 20, 50, facecolor="black", edgecolor="black"
  28 )
  29 
  30 # Make sure its visible
  31 new_ax.tick_params(colors="white")
  32 
  33 # And label it
  34 la = new_ax.set_xlabel("Dinosaurs per furlong")
  35 la.set_color("white")
  36 
  37 slc.save()
  38
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/doc/source/cookbook/simple_slice_matplotlib_example.py b/doc/source/cookbook/simple_slice_matplotlib_example.py
  --- a/doc/source/cookbook/simple_slice_matplotlib_example.py
  +++ b/doc/source/cookbook/simple_slice_matplotlib_example.py
  @@ -8,6 +8,10 @@
   # Create a slice object
   slc = yt.SlicePlot(ds, "x", ("gas", "density"), width=(800.0, "kpc"))
   
  +# Rendering should be performed explicitly *before* any modification is
  +# performed directly with matplotlib.
  +slc.render()
  +
   # Get a reference to the matplotlib axes object for the plot
   ax = slc.plots[("gas", "density")].axes
  
verification_info: {"golden_diff": "diff --git a/doc/source/cookbook/simple_slice_matplotlib_example.py b/doc/source/cookbook/simple_slice_matplotlib_example.py\n--- a/doc/source/cookbook/simple_slice_matplotlib_example.py\n+++ b/doc/source/cookbook/simple_slice_matplotlib_example.py\n@@ -8,6 +8,10 @@\n # Create a slice object\n slc = yt.SlicePlot(ds, \"x\", (\"gas\", \"density\"), width=(800.0, \"kpc\"))\n \n+# Rendering should be performed explicitly *before* any modification is\n+# performed directly with matplotlib.\n+slc.render()\n+\n # Get a reference to the matplotlib axes object for the plot\n ax = slc.plots[(\"gas\", \"density\")].axes\n", "issue": "BUG: modifications through matplotlib engine cannot be properly displayed\n<!--To help us understand and resolve your issue, please fill out the form to\r\nthe best of your ability.-->\r\n<!--You can feel free to delete the sections that do not apply.-->\r\n\r\n### Bug report\r\n\r\n**Bug summary**\r\n\r\nThe Modifications through Matplotlib engine cannot be properly displayed. \r\n\r\nTaking the following code for example, the expected modifications can only be shown by the containing matplotlib figure object like `fig.savefig(\"sloshing.png\")`. \r\n\r\n**Code for reproduction**\r\n\r\nadapted from [docs](https://yt-project.org/docs/dev/cookbook/simple_plots.html#accessing-and-modifying-plots-directly) (also broken there)\r\n\r\n```python\r\nimport numpy as np\r\n\r\nimport yt\r\n\r\n# Load the dataset.\r\nds = yt.load(\"GasSloshing/sloshing_nomag2_hdf5_plt_cnt_0150\")\r\n\r\n# Create a slice object\r\nslc = yt.SlicePlot(ds, \"x\", (\"gas\", \"density\"), width=(800.0, \"kpc\"))\r\n\r\n# Get a reference to the matplotlib axes object for the plot\r\nax = slc.plots[(\"gas\", \"density\")].axes\r\n\r\n# Let's adjust the x axis tick labels\r\nfor label in ax.xaxis.get_ticklabels():\r\n    label.set_color(\"red\")\r\n    label.set_fontsize(16)\r\n\r\n# Get a reference to the matplotlib figure object for the plot\r\nfig = slc.plots[(\"gas\", \"density\")].figure\r\n\r\n# And create a mini-panel of a gaussian histogram inside the plot\r\nrect = (0.2, 0.2, 0.2, 0.2)\r\nnew_ax = fig.add_axes(rect)\r\n\r\nn, bins, patches = new_ax.hist(\r\n    np.random.randn(1000) + 20, 50, facecolor=\"black\", edgecolor=\"black\"\r\n)\r\n\r\n# Make sure its visible\r\nnew_ax.tick_params(colors=\"white\")\r\n\r\n# And label it\r\nla = new_ax.set_xlabel(\"Dinosaurs per furlong\")\r\nla.set_color(\"white\")\r\n\r\nslc.save()\r\n```\r\n\r\n**Actual outcome**\r\n\r\n![iTerm2 1b3woO sloshing_nomag2_hdf5_plt_cnt_0150_Slice_x_density](https://github.com/yt-project/yt/assets/22034707/9bece844-afaa-4327-9660-05a4d009c137)\r\n\r\n**Expected outcome**\r\n\r\nThe changes of the x-axis tick labels\r\n![iTerm2 h1XCIV sloshing](https://github.com/yt-project/yt/assets/22034707/8178509e-88ef-4eeb-9d28-ce3438ffd900)\r\n\r\n**Version Information**\r\n  * Operating System: MacOS 14.1.1 and Red Hat Enterprise Linux Server release 7.8 (Maipo)\r\n  * Python Version: 3.9\r\n  * yt version: 4.2.1 and 4.3.0\r\n\r\n<!--Please tell us how you installed yt and python e.g., from source,\r\npip, conda. If you installed from conda, please specify which channel you used\r\nif not the default-->\r\n\n", "before_files": [{"content": "import numpy as np\n\nimport yt\n\n# Load the dataset.\nds = yt.load(\"GasSloshing/sloshing_nomag2_hdf5_plt_cnt_0150\")\n\n# Create a slice object\nslc = yt.SlicePlot(ds, \"x\", (\"gas\", \"density\"), width=(800.0, \"kpc\"))\n\n# Get a reference to the matplotlib axes object for the plot\nax = slc.plots[(\"gas\", \"density\")].axes\n\n# Let's adjust the x axis tick labels\nfor label in ax.xaxis.get_ticklabels():\n    label.set_color(\"red\")\n    label.set_fontsize(16)\n\n# Get a reference to the matplotlib figure object for the plot\nfig = slc.plots[(\"gas\", \"density\")].figure\n\n# And create a mini-panel of a gaussian histogram inside the plot\nrect = (0.2, 0.2, 0.2, 0.2)\nnew_ax = fig.add_axes(rect)\n\nn, bins, patches = new_ax.hist(\n    np.random.randn(1000) + 20, 50, facecolor=\"black\", edgecolor=\"black\"\n)\n\n# Make sure its visible\nnew_ax.tick_params(colors=\"white\")\n\n# And label it\nla = new_ax.set_xlabel(\"Dinosaurs per furlong\")\nla.set_color(\"white\")\n\nslc.save()\n", "path": "doc/source/cookbook/simple_slice_matplotlib_example.py"}], "after_files": [{"content": "import numpy as np\n\nimport yt\n\n# Load the dataset.\nds = yt.load(\"GasSloshing/sloshing_nomag2_hdf5_plt_cnt_0150\")\n\n# Create a slice object\nslc = yt.SlicePlot(ds, \"x\", (\"gas\", \"density\"), width=(800.0, \"kpc\"))\n\n# Rendering should be performed explicitly *before* any modification is\n# performed directly with matplotlib.\nslc.render()\n\n# Get a reference to the matplotlib axes object for the plot\nax = slc.plots[(\"gas\", \"density\")].axes\n\n# Let's adjust the x axis tick labels\nfor label in ax.xaxis.get_ticklabels():\n    label.set_color(\"red\")\n    label.set_fontsize(16)\n\n# Get a reference to the matplotlib figure object for the plot\nfig = slc.plots[(\"gas\", \"density\")].figure\n\n# And create a mini-panel of a gaussian histogram inside the plot\nrect = (0.2, 0.2, 0.2, 0.2)\nnew_ax = fig.add_axes(rect)\n\nn, bins, patches = new_ax.hist(\n    np.random.randn(1000) + 20, 50, facecolor=\"black\", edgecolor=\"black\"\n)\n\n# Make sure its visible\nnew_ax.tick_params(colors=\"white\")\n\n# And label it\nla = new_ax.set_xlabel(\"Dinosaurs per furlong\")\nla.set_color(\"white\")\n\nslc.save()\n", "path": "doc/source/cookbook/simple_slice_matplotlib_example.py"}]}