panbingkun commented on PR #42425:
URL: https://github.com/apache/spark/pull/42425#issuecomment-1683221401

   I have checked the results and they are as follows
   <img width="1110" alt="image" 
src="https://github.com/apache/spark/assets/15246973/70b75f06-380c-4503-9e52-6a46eb5c6921";>
   - The number of HTML files is: 2392
   - The number of HTML files including `<link rel=\"canonical\" href=` is: 2318
   - Excluding (2392 - 2318 = 74):
   1._static/webpack-macros.html
   ```
   <!--
       All these macros are auto-generated and must **NOT** be edited by hand.
       See the webpack.config.js file, to learn more about how this is 
generated.
     -->
     {% macro head_pre_icons() %}
       <link rel="stylesheet"
         href="{{ pathto('_static/vendor/fontawesome/5.13.0/css/all.min.css', 
1) }}">
       <link rel="preload" as="font" type="font/woff2" crossorigin
         href="{{ 
pathto('_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2', 1) }}">
       <link rel="preload" as="font" type="font/woff2" crossorigin
         href="{{ 
pathto('_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2', 1) }}">
     {% endmacro %}
   
     {% macro head_pre_fonts() %}
     {% endmacro %}
   
     {% macro head_pre_bootstrap() %}
       <link href="{{ pathto('_static/styles/theme.css', 1) 
}}?digest=1999514e3f237ded88cf" rel="stylesheet">
   <link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) 
}}?digest=1999514e3f237ded88cf" rel="stylesheet">
     {% endmacro %}
   
     {% macro head_js_preload() %}
       <link rel="preload" as="script" href="{{ 
pathto('_static/scripts/pydata-sphinx-theme.js', 1) 
}}?digest=1999514e3f237ded88cf">
     {% endmacro %}
   
     {% macro body_post() %}
       <script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) 
}}?digest=1999514e3f237ded88cf"></script>
     {% endmacro %}
   ```
   2.Taking 'reference/pyspark.pandas/api/pyspark-pandas-Series-hist-2.html' as 
an example, the content is as follows
   ```
   <div>                        <script 
type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>
           <script src="https://cdn.plot.ly/plotly-2.12.1.min.js";></script>     
           <div id="107ab257-e553-4926-a005-b948862ed6f4" 
class="plotly-graph-div" style="height:100%; width:100%;"></div>            
<script type="text/javascript">                                    
window.PLOTLYENV=window.PLOTLYENV || {};                                    if 
(document.getElementById("107ab257-e553-4926-a005-b948862ed6f4")) {             
       Plotly.newPlot(                        
"107ab257-e553-4926-a005-b948862ed6f4",                        
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 1.916666667)","[1.916666667, 2.833333333)","[2.833333333, 3.75)","[3.75, 
4.666666667)","[4.666666667, 5.583333333)","[5.583333333, 6.5)","[6.5, 
7.416666667)","[7.416666667, 8.333333333)","[8.333333333, 9.25)","[9.25, 
10.166666667)","[10.166666667, 11.083333333)","[11.083333333, 
12.0]"],"x":[1.4583333333333333,2.375,3.2916666666666665,4.208333333333333,5.1
 
25,6.041666666666666,6.958333333333333,7.874999999999999,8.791666666666666,9.708333333333332,10.625,11.541666666666666],"y":[1044.0,1008.0,951.0,1005.0,968.0,1024.0,0.0,0.0,0.0,0.0,0.0,0.0],"type":"bar"},{"hovertemplate":"variable=two<br>value=%{text}<br>count=%{y}","name":"two","text":["[1.0,
 1.916666667)","[1.916666667, 2.833333333)","[2.833333333, 3.75)","[3.75, 
4.666666667)","[4.666666667, 5.583333333)","[5.583333333, 6.5)","[6.5, 
7.416666667)","[7.416666667, 8.333333333)","[8.333333333, 9.25)","[9.25, 
10.166666667)","[10.166666667, 11.083333333)","[11.083333333, 
12.0]"],"x":[1.4583333333333333,2.375,3.2916666666666665,4.208333333333333,5.125,6.041666666666666,6.958333333333333,7.874999999999999,8.791666666666666,9.708333333333332,10.625,11.541666666666666],"y":[0.0,167.0,319.0,520.0,684.0,837.0,1011.0,817.0,645.0,491.0,328.0,181.0],"type":"bar"}],
                        
{"barmode":"stack","template":{"data":{"barpolar":[{"marker":{"line":{"color":"#E5ECF6","width":0.5},"pattern
 
":{"fillmode":"overlay","size":10,"solidity":0.2}},"type":"barpolar"}],"bar":[{"error_x":{"color":"#2a3f5f"},"error_y":{"color":"#2a3f5f"},"marker":{"line":{"color":"#E5ECF6","width":0.5},"pattern":{"fillmode":"overlay","size":10,"solidity":0.2}},"type":"bar"}],"carpet":[{"aaxis":{"endlinecolor":"#2a3f5f","gridcolor":"white","linecolor":"white","minorgridcolor":"white","startlinecolor":"#2a3f5f"},"baxis":{"endlinecolor":"#2a3f5f","gridcolor":"white","linecolor":"white","minorgridcolor":"white","startlinecolor":"#2a3f5f"},"type":"carpet"}],"choropleth":[{"colorbar":{"outlinewidth":0,"ticks":""},"type":"choropleth"}],"contourcarpet":[{"colorbar":{"outlinewidth":0,"ticks":""},"type":"contourcarpet"}],"contour":[{"colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"
 
#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"type":"contour"}],"heatmapgl":[{"colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"type":"heatmapgl"}],"heatmap":[{"colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"type":"heatmap"}],"histogram2dcontour":[{"colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c17
 
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d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"type":"surface"}],"table":[{"cells":{"fill":{"color":"#EBF0F8"},"line":{"color":"white"}},"header":{"fill":{"color":"#C8D4E3"},"line":{"color":"white"}},"type":"table"}]},"layout":{"annotationdefaults":{"arrowcolor":"#2a3f5f","arrowhead":0,"arrowwidth":1},"autotypenumbers":"strict","coloraxis":{"colorbar":{"outlinewidth":0,"ticks":""}},"colorscale":{"diverging":[[0,"#8e0152"],[0.1,"#c51b7d"],[0.2,"#de77ae"],[0.3,"#f1b6da"],[0.4,"#fde0ef"],[0.5,"#f7f7f7"],[0.6,"#e6f5d0"],[0.7,"#b8e186"],[0.8,"#7fbc41"],[0.9,"#4d9221"],[1,"#276419"]],"sequential":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"sequentialminus":[[0.0,"#0d0887"],[0.111111
 
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                        {"responsive": true}                    )               
 };
                             </script>        </div>
   ```
   It is automatically generated using 
`https://github.com/apache/spark/blob/02a07cd6adc7f0674bc673e3f917d71d9b290199/python/pyspark/pandas/plot/core.py#L940`
 in Python files and is only used as an iframe on the page.
   <img width="547" alt="image" 
src="https://github.com/apache/spark/assets/15246973/f14cc397-d9ad-4fbb-a56e-a88ae107cee2";>
   <img width="757" alt="image" 
src="https://github.com/apache/spark/assets/15246973/5e96ce87-2f61-4cb4-9cb9-758cb44f7280";>
   
   


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