Python输出在Quarto中的突出显示

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英文:

Python output highlighting in Quarto

问题

Sure, here's the translated content:

继续讨论这个问题，关于在Quarto中突出显示代码输出：是否也可以使其适用于Python输出？

一个最小的工作示例：

  1. ---
  2. title: "Output line highlighting"
  3. format: revealjs
  4. editor: visual
  5. filters:
  6.   - output-line-highlight.lua
  7. ---
  9. ## 回归表格
  11. 在R中：
  13. ```R
  14. #| class-output: highlight
  15. #| output-line-numbers: "9,10,11,12"
  16. LM <- lm(Sepal.Length ~ Sepal.Width, data = iris)
  17. summary(LM)

回归表格

在Python中：

  1. #| class-output: highlight
  2. #| output-line-numbers: "12,13,14,15,16,17"
  3. import pandas as pd
  4. import statsmodels.api as sm
  6. iris = sm.datasets.get_rdataset('iris').data
  7. LM = sm.OLS(iris['Sepal.Length'], sm.add_constant(iris['Sepal.Width'])).fit()
  8. LM.summary2()

渲染此文件显示Lua过滤器适用于R输出，但不适用于Python输出。

  2. Please note that I've kept the code parts as-is without translation, as per your request.
  4. <details>
  5. <summary>英文:</summary>
  7. Continuing on [this question](https://stackoverflow.com/q/74981820/8770170) about code output highlighting in Quarto: Is it also possible to make this work with Python output? 
  9. A minimal working example:
  11.     ---
  12.     title: &quot;Output line highlighting&quot;
  13.     format: revealjs
  14.     editor: visual
  15.     filters:
  16.       - output-line-highlight.lua
  17.     ---
  18.     
  19.     ## Regression Table 
  20.     
  21.     In R:
  22.     
  23.     ```{r}
  24.     #| class-output: highlight
  25.     #| output-line-numbers: &quot;9,10,11,12&quot;
  26.     LM &lt;- lm(Sepal.Length ~ Sepal.Width, data = iris)
  27.     summary(LM)
  28.     ```
  29.     
  30.     ## Regression Table
  31.     
  32.     In Python:
  33.     
  34.     ```{python}
  35.     #| class-output: highlight
  36.     #| output-line-numbers: &quot;12,13,14,15,16,17&quot;
  37.     import pandas as pd
  38.     import statsmodels.api as sm
  39.     
  40.     iris = sm.datasets.get_rdataset(&#39;iris&#39;).data
  41.     LM = sm.OLS(iris[&#39;Sepal.Length&#39;], sm.add_constant(iris[&#39;Sepal.Width&#39;])).fit()
  42.     LM.summary2()
  43.     ```
  45. Rendering this file shows the Lua filter works for the R output, but not for Python.
  47. </details>
  50. # 答案1
  51. **得分**: 1
  53. Python代码块不支持 `output-class` 选项，而应使用 `classes` 选项并使用类 `output-highlight`。至于 R 代码块，可以使用 `class-output: highlight` 或 `classes: output-highlight`。
  55. 已更新过滤器以支持 `classes: output-highlight`。
  57. **output-line-highlight.lua**
  59. ```lua
  60. function highlight(line_number)
  61.   local highlighter = {
  62.     CodeBlock = function(block)
  63.       if block.classes:includes('highlight') then
  64.         block.classes:insert('has-line-highlights')
  65.         block.attributes["code-line-numbers"] = line_number
  66.         return block
  67.       end
  68.   end
  69.   }
  70.   return highlighter
  71. end
  73. function add_highlight_class()
  74.   return {
  75.     CodeBlock = function(cb)
  76.       if not cb.classes:includes('highlight') then
  77.         cb.classes:insert('highlight')
  78.       end
  79.       return cb
  80.     end
  81.   }
  82. end
  84. function add_class_to_cb()
  85.   return {
  86.     Div = function(el)
  87.       if el.classes:includes('cell-output') then
  88.         return el:walk(add_highlight_class())
  89.       end
  90.     end
  91.   }
  92. end
  94. function highlight_output_div()
  95.   return {
  96.     Div = function(div)
  97.       if div.classes:includes('output-highlight') then
  98.         return div:walk(add_class_to_cb())
  99.       end
  100.     end  
  101.   }
  102. end
  104. function add_output_lnum()
  105.   return {
  106.     Div = function(el)
  107.       if el.classes:includes('cell') then
  108.         line_number = tostring(el.attributes["output-line-numbers"])
  109.         return el:walk(highlight(line_number))
  110.       end
  111.     end
  112.   }
  113. end
  115. function Pandoc(doc)
  116.   if FORMAT == 'revealjs' then
  117.     local doc = doc:walk(highlight_output_div())
  118.     return doc:walk(add_output_lnum())
  119.   end
  120. end

presentation.qmd

  1. ---
  2. title: "Output line highlighting"
  3. format: revealjs
  4. filters:
  5.   - output-line-highlight.lua
  6. ---
  8. ## Regression Table 
  10. In R:
  12. ```{r}
  13. #| class-output: highlight
  14. #| output-line-numbers: "9,10,11,12"
  15. LM <- lm(Sepal.Length ~ Sepal.Width, data = iris)
  16. summary(LM)

Regression Table

In Python:

  1. #| classes: output-highlight
  2. #| output-line-numbers: "2,4"
  4. test = [1, 2, 3, 4]
  6. for i in test:
  7.   if i%2 == 0:
  8.     print("this line is highlighted")
  9.   else:
  10.     print("this line is not highlighted")

Python输出在Quarto中的突出显示

  2. 这是翻译后的内容，仅包括代码块和相关信息。
  4. <details>
  5. <summary>英文:</summary>
  7. python code chunk doesn&#39;t support the chunk option `output-class`. Instead, use the option `classes` and use the class `output-highlight`.
  8. And for r-code chunk, you may use either `class-output: highlight` or `classes: output-highlight`.
  10. And I have updated the filter to support the `classes: output-highlight` accordingly.
  12. **output-line-highlight.lua**
  14. ~~~ lua
  15. function highlight(line_number)
  16.   local highlighter = {
  17.     CodeBlock = function(block)
  18.       if block.classes:includes(&#39;highlight&#39;) then
  19.         block.classes:insert(&#39;has-line-highlights&#39;)
  20.         block.attributes[&quot;code-line-numbers&quot;] = line_number
  21.         return block
  22.       end
  23.   end
  24.   }
  25.   return highlighter
  26. end
  28. function add_highlight_class()
  29.   return {
  30.     CodeBlock = function(cb)
  31.       if not cb.classes:includes(&#39;highlight&#39;) then
  32.         cb.classes:insert(&#39;highlight&#39;)
  33.       end
  34.       return cb
  35.     end
  36.   }
  37. end
  40. function add_class_to_cb()
  41.   return {
  42.     Div = function(el)
  43.       if el.classes:includes(&#39;cell-output&#39;) then
  44.         return el:walk(add_highlight_class())
  45.       end
  46.     end
  47.   }
  48. end
  50. function highlight_output_div()
  51.   return {
  52.     Div = function(div)
  53.       if div.classes:includes(&#39;output-highlight&#39;) then
  54.         return div:walk(add_class_to_cb())
  55.       end
  56.     end  
  57.   }
  58. end
  60. function add_output_lnum()
  61.   return {
  62.     Div = function(el)
  63.       if el.classes:includes(&#39;cell&#39;) then
  64.         line_number = tostring(el.attributes[&quot;output-line-numbers&quot;])
  65.         return el:walk(highlight(line_number))
  66.       end
  67.     end
  68.   }
  69. end
  71. function Pandoc(doc)
  72.   if FORMAT == &#39;revealjs&#39; then
  73.     local doc = doc:walk(highlight_output_div())
  74.     return doc:walk(add_output_lnum())
  75.   end
  76. end
  77. ~~~
  79. **presentation.qmd**
  81. ~~~
  82. ---
  83. title: &quot;Output line highlighting&quot;
  84. format: revealjs
  85. filters:
  86.   - output-line-highlight.lua
  87. ---
  89. ## Regression Table 
  91. In R:
  93. ```{r}
  94. #| class-output: highlight
  95. #| output-line-numbers: &quot;9,10,11,12&quot;
  96. LM &lt;- lm(Sepal.Length ~ Sepal.Width, data = iris)
  97. summary(LM)

Regression Table

In Python:

  1. #| classes: output-highlight
  2. #| output-line-numbers: &quot;2,4&quot;
  4. test = [1, 2, 3, 4]
  6. for i in test:
  7.   if i%2 == 0:
  8.     print(&quot;this line is highlighted&quot;)
  9.   else:
  10.     print(&quot;this line is not highlighted&quot;)
  2. &lt;hr&gt;
  4. [![highlighted lines][1]][1]
  7.   [1]: https://i.stack.imgur.com/Gt84Y.png
  9. </details>

huangapple
  • 本文由 发表于 2023年5月26日 16:06:50
  • 转载请务必保留本文链接：https://go.coder-hub.com/76338850.html
  • lua
  • python
  • quarto
  • r
  • reveal.js
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