Merge branch 'main' into addTexnativeFormat

.github/workflows/actions/release-info/action.yml

@@ -27,5 +27,5 @@ inputs:
     required: true
 
 runs:
-  using: "node16"
+  using: "node20"
   main: "index.js"

.github/workflows/preview.yml

@@ -8,8 +8,9 @@ name: Deploy Preview
 
 concurrency:
   # Use github.event.pull_request.number on pull requests, so it's unique per pull request
+  # Use github.event.issue.number on issue comments, so it's unique per comment
   # Use github.ref on other branches, so it's unique per branch
-  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.event.issue.number || github.ref }}
+  group: ${{ github.workflow }}-${{ (github.event.pull_request && format('PR-{0}', github.event.pull_request.number)) || ( github.event.issue && format('comment-{0}', github.event.issue.number) ) || github.ref }}
   cancel-in-progress: true
 
 jobs:

.github/workflows/upload-algolia.rb

@@ -1,3 +1,4 @@
+gem 'algolia', '=2.3.4'
 require 'json'
 require 'algolia'
 require 'open-uri'

.github/workflows/upload-index.yml

@@ -17,7 +17,7 @@ jobs:
           ruby-version: 3.0.2
       - name: Install Algolia API Dependencies
         run: |
-          gem install algolia
+          gem install algolia -v 2.3.4
       - name: Upload Index for release website
         run: |
           pwd

.well-known/atproto-did

@@ -0,0 +1 @@
+did:plc:yvu4igag5eha3sbbbx7poz2p

DESCRIPTION

@@ -11,6 +11,7 @@ Depends:
     htmltools,
     knitr,
     leaflet,
+    magick,
     openintro,
     palmerpenguins,
     readr,

_freeze/docs/blog/posts/2024-07-02-beautiful-tables-in-typst/examples/pandas-acting-on-data/execute-results/html.json

@@ -2,7 +2,7 @@
   "hash": "ead4c2e1e06e77e4d6e2ea986e264c20",
   "result": {
     "engine": "jupyter",
-    "markdown": "---\ntitle: \"Pandas - Acting on Data\"\nformat: \n  typst: default\n  html:\n    format-links: false\n    theme: default\nbibliography: []\nreferences:\n  - type: website\n    id: pandas-user-guide\n    url: https://pandas.pydata.org/pandas-docs/version/2.2.2/user_guide/style.html#Acting-on-the-Index-and-Column-Headers\n---\n\n```{=typst}\n#set page(numbering: none)\n```\n\n::: {#8e7d7d5f .cell .plain execution_count=1}\n``` {.python .cell-code}\nimport pandas as pd\nimport numpy as np\n\nnp.random.seed(0)\ndf2 = pd.DataFrame(np.random.randn(10,4), columns=['A','B','C','D'])\n\ndef style_negative(v, props=''):\n    return props if v < 0 else None\ns2 = df2.style.map(style_negative, props='color:red;')\\\n              .map(lambda v: 'opacity: 20%;' if (v < 0.3) and (v > -0.3) else None)\n\ndef highlight_max(s, props=''):\n    return np.where(s == np.nanmax(s.values), props, '')\n\n# darkblue, pink\ns2.apply(highlight_max, props='color:white;background-color:#00008b', axis=0)\\\n.apply(highlight_max, props='color:white;background-color: #ffc0cb;', axis=1)\\\n.apply(highlight_max, props='color:white;background-color:purple', axis=None)\n```\n\n::: {.cell-output .cell-output-display execution_count=3}\n```{=html}\n<style type=\"text/css\">\n#T_4ffe1_row0_col2, #T_4ffe1_row7_col1 {\n  color: white;\n  background-color: #00008b;\n}\n#T_4ffe1_row0_col3 {\n  color: white;\n  background-color: #00008b;\n  color: white;\n  background-color: #ffc0cb;\n}\n#T_4ffe1_row1_col0, #T_4ffe1_row2_col3, #T_4ffe1_row3_col0, #T_4ffe1_row4_col0, #T_4ffe1_row5_col2, #T_4ffe1_row7_col0, #T_4ffe1_row9_col0 {\n  color: white;\n  background-color: #ffc0cb;\n}\n#T_4ffe1_row1_col1, #T_4ffe1_row4_col3, #T_4ffe1_row5_col0, #T_4ffe1_row5_col3, #T_4ffe1_row6_col1, #T_4ffe1_row8_col0, #T_4ffe1_row8_col1, #T_4ffe1_row8_col2, #T_4ffe1_row9_col2, #T_4ffe1_row9_col3 {\n  color: red;\n}\n#T_4ffe1_row1_col3, #T_4ffe1_row2_col0, #T_4ffe1_row4_col1, #T_4ffe1_row6_col3 {\n  color: red;\n  opacity: 20%;\n}\n#T_4ffe1_row2_col2, #T_4ffe1_row3_col1, #T_4ffe1_row6_col2, #T_4ffe1_row7_col2 {\n  opacity: 20%;\n}\n#T_4ffe1_row6_col0 {\n  color: white;\n  background-color: #00008b;\n  color: white;\n  background-color: #ffc0cb;\n  color: white;\n  background-color: purple;\n}\n#T_4ffe1_row8_col3 {\n  opacity: 20%;\n  color: white;\n  background-color: #ffc0cb;\n}\n</style>\n<table id=\"T_4ffe1\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_4ffe1_level0_col0\" class=\"col_heading level0 col0\" >A</th>\n      <th id=\"T_4ffe1_level0_col1\" class=\"col_heading level0 col1\" >B</th>\n      <th id=\"T_4ffe1_level0_col2\" class=\"col_heading level0 col2\" >C</th>\n      <th id=\"T_4ffe1_level0_col3\" class=\"col_heading level0 col3\" >D</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_4ffe1_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n      <td id=\"T_4ffe1_row0_col0\" class=\"data row0 col0\" >1.764052</td>\n      <td id=\"T_4ffe1_row0_col1\" class=\"data row0 col1\" >0.400157</td>\n      <td id=\"T_4ffe1_row0_col2\" class=\"data row0 col2\" >0.978738</td>\n      <td id=\"T_4ffe1_row0_col3\" class=\"data row0 col3\" >2.240893</td>\n    </tr>\n    <tr>\n      <th id=\"T_4ffe1_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n      <td id=\"T_4ffe1_row1_col0\" class=\"data row1 col0\" >1.867558</td>\n      <td id=\"T_4ffe1_row1_col1\" class=\"data row1 col1\" >-0.977278</td>\n      <td id=\"T_4ffe1_row1_col2\" class=\"data row1 col2\" >0.950088</td>\n      <td id=\"T_4ffe1_row1_col3\" class=\"data row1 col3\" >-0.151357</td>\n    </tr>\n    <tr>\n      <th id=\"T_4ffe1_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n      <td id=\"T_4ffe1_row2_col0\" class=\"data row2 col0\" >-0.103219</td>\n      <td id=\"T_4ffe1_row2_col1\" class=\"data row2 col1\" >0.410599</td>\n      <td id=\"T_4ffe1_row2_col2\" class=\"data row2 col2\" >0.144044</td>\n      <td id=\"T_4ffe1_row2_col3\" class=\"data row2 col3\" >1.454274</td>\n    </tr>\n    <tr>\n      <th id=\"T_4ffe1_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n      <td id=\"T_4ffe1_row3_col0\" class=\"data row3 col0\" >0.761038</td>\n      <td id=\"T_4ffe1_row3_col1\" class=\"data row3 col1\" >0.121675</td>\n      <td id=\"T_4ffe1_row3_col2\" class=\"data row3 col2\" >0.443863</td>\n      <td id=\"T_4ffe1_row3_col3\" class=\"data row3 col3\" >0.333674</td>\n    </tr>\n    <tr>\n      <th id=\"T_4ffe1_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n      <td id=\"T_4ffe1_row4_col0\" class=\"data row4 col0\" >1.494079</td>\n      <td id=\"T_4ffe1_row4_col1\" class=\"data row4 col1\" >-0.205158</td>\n      <td id=\"T_4ffe1_row4_col2\" class=\"data row4 col2\" >0.313068</td>\n      <td id=\"T_4ffe1_row4_col3\" class=\"data row4 col3\" >-0.854096</td>\n    </tr>\n    <tr>\n      <th id=\"T_4ffe1_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n      <td id=\"T_4ffe1_row5_col0\" class=\"data row5 col0\" >-2.552990</td>\n      <td id=\"T_4ffe1_row5_col1\" class=\"data row5 col1\" >0.653619</td>\n      <td id=\"T_4ffe1_row5_col2\" class=\"data row5 col2\" >0.864436</td>\n      <td id=\"T_4ffe1_row5_col3\" class=\"data row5 col3\" >-0.742165</td>\n    </tr>\n    <tr>\n      <th id=\"T_4ffe1_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n      <td id=\"T_4ffe1_row6_col0\" class=\"data row6 col0\" >2.269755</td>\n      <td id=\"T_4ffe1_row6_col1\" class=\"data row6 col1\" >-1.454366</td>\n      <td id=\"T_4ffe1_row6_col2\" class=\"data row6 col2\" >0.045759</td>\n      <td id=\"T_4ffe1_row6_col3\" class=\"data row6 col3\" >-0.187184</td>\n    </tr>\n    <tr>\n      <th id=\"T_4ffe1_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n      <td id=\"T_4ffe1_row7_col0\" class=\"data row7 col0\" >1.532779</td>\n      <td id=\"T_4ffe1_row7_col1\" class=\"data row7 col1\" >1.469359</td>\n      <td id=\"T_4ffe1_row7_col2\" class=\"data row7 col2\" >0.154947</td>\n      <td id=\"T_4ffe1_row7_col3\" class=\"data row7 col3\" >0.378163</td>\n    </tr>\n    <tr>\n      <th id=\"T_4ffe1_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n      <td id=\"T_4ffe1_row8_col0\" class=\"data row8 col0\" >-0.887786</td>\n      <td id=\"T_4ffe1_row8_col1\" class=\"data row8 col1\" >-1.980796</td>\n      <td id=\"T_4ffe1_row8_col2\" class=\"data row8 col2\" >-0.347912</td>\n      <td id=\"T_4ffe1_row8_col3\" class=\"data row8 col3\" >0.156349</td>\n    </tr>\n    <tr>\n      <th id=\"T_4ffe1_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n      <td id=\"T_4ffe1_row9_col0\" class=\"data row9 col0\" >1.230291</td>\n      <td id=\"T_4ffe1_row9_col1\" class=\"data row9 col1\" >1.202380</td>\n      <td id=\"T_4ffe1_row9_col2\" class=\"data row9 col2\" >-0.387327</td>\n      <td id=\"T_4ffe1_row9_col3\" class=\"data row9 col3\" >-0.302303</td>\n    </tr>\n  </tbody>\n</table>\n```\n:::\n:::\n\n\n",
+    "markdown": "---\ntitle: \"Pandas - Acting on Data\"\nformat: \n  typst: default\n  html:\n    format-links: false\n    theme: default\nbibliography: []\nreferences:\n  - type: website\n    id: pandas-user-guide\n    url: https://pandas.pydata.org/pandas-docs/version/2.2.2/user_guide/style.html#Acting-on-the-Index-and-Column-Headers\n---\n\n```{=typst}\n#set page(numbering: none)\n```\n\n::: {#e0ca7130 .cell .plain execution_count=1}\n``` {.python .cell-code}\nimport pandas as pd\nimport numpy as np\n\nnp.random.seed(0)\ndf2 = pd.DataFrame(np.random.randn(10,4), columns=['A','B','C','D'])\n\ndef style_negative(v, props=''):\n    return props if v < 0 else None\ns2 = df2.style.map(style_negative, props='color:red;')\\\n              .map(lambda v: 'opacity: 20%;' if (v < 0.3) and (v > -0.3) else None)\n\ndef highlight_max(s, props=''):\n    return np.where(s == np.nanmax(s.values), props, '')\n\n# darkblue, pink\ns2.apply(highlight_max, props='color:white;background-color:#00008b', axis=0)\\\n.apply(highlight_max, props='color:white;background-color: #ffc0cb;', axis=1)\\\n.apply(highlight_max, props='color:white;background-color:purple', axis=None)\n```\n\n::: {.cell-output .cell-output-display execution_count=3}\n```{=html}\n<style type=\"text/css\">\n#T_7f353_row0_col2, #T_7f353_row7_col1 {\n  color: white;\n  background-color: #00008b;\n}\n#T_7f353_row0_col3 {\n  color: white;\n  background-color: #00008b;\n  color: white;\n  background-color: #ffc0cb;\n}\n#T_7f353_row1_col0, #T_7f353_row2_col3, #T_7f353_row3_col0, #T_7f353_row4_col0, #T_7f353_row5_col2, #T_7f353_row7_col0, #T_7f353_row9_col0 {\n  color: white;\n  background-color: #ffc0cb;\n}\n#T_7f353_row1_col1, #T_7f353_row4_col3, #T_7f353_row5_col0, #T_7f353_row5_col3, #T_7f353_row6_col1, #T_7f353_row8_col0, #T_7f353_row8_col1, #T_7f353_row8_col2, #T_7f353_row9_col2, #T_7f353_row9_col3 {\n  color: red;\n}\n#T_7f353_row1_col3, #T_7f353_row2_col0, #T_7f353_row4_col1, #T_7f353_row6_col3 {\n  color: red;\n  opacity: 20%;\n}\n#T_7f353_row2_col2, #T_7f353_row3_col1, #T_7f353_row6_col2, #T_7f353_row7_col2 {\n  opacity: 20%;\n}\n#T_7f353_row6_col0 {\n  color: white;\n  background-color: #00008b;\n  color: white;\n  background-color: #ffc0cb;\n  color: white;\n  background-color: purple;\n}\n#T_7f353_row8_col3 {\n  opacity: 20%;\n  color: white;\n  background-color: #ffc0cb;\n}\n</style>\n<table id=\"T_7f353\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_7f353_level0_col0\" class=\"col_heading level0 col0\" >A</th>\n      <th id=\"T_7f353_level0_col1\" class=\"col_heading level0 col1\" >B</th>\n      <th id=\"T_7f353_level0_col2\" class=\"col_heading level0 col2\" >C</th>\n      <th id=\"T_7f353_level0_col3\" class=\"col_heading level0 col3\" >D</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_7f353_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n      <td id=\"T_7f353_row0_col0\" class=\"data row0 col0\" >1.764052</td>\n      <td id=\"T_7f353_row0_col1\" class=\"data row0 col1\" >0.400157</td>\n      <td id=\"T_7f353_row0_col2\" class=\"data row0 col2\" >0.978738</td>\n      <td id=\"T_7f353_row0_col3\" class=\"data row0 col3\" >2.240893</td>\n    </tr>\n    <tr>\n      <th id=\"T_7f353_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n      <td id=\"T_7f353_row1_col0\" class=\"data row1 col0\" >1.867558</td>\n      <td id=\"T_7f353_row1_col1\" class=\"data row1 col1\" >-0.977278</td>\n      <td id=\"T_7f353_row1_col2\" class=\"data row1 col2\" >0.950088</td>\n      <td id=\"T_7f353_row1_col3\" class=\"data row1 col3\" >-0.151357</td>\n    </tr>\n    <tr>\n      <th id=\"T_7f353_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n      <td id=\"T_7f353_row2_col0\" class=\"data row2 col0\" >-0.103219</td>\n      <td id=\"T_7f353_row2_col1\" class=\"data row2 col1\" >0.410599</td>\n      <td id=\"T_7f353_row2_col2\" class=\"data row2 col2\" >0.144044</td>\n      <td id=\"T_7f353_row2_col3\" class=\"data row2 col3\" >1.454274</td>\n    </tr>\n    <tr>\n      <th id=\"T_7f353_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n      <td id=\"T_7f353_row3_col0\" class=\"data row3 col0\" >0.761038</td>\n      <td id=\"T_7f353_row3_col1\" class=\"data row3 col1\" >0.121675</td>\n      <td id=\"T_7f353_row3_col2\" class=\"data row3 col2\" >0.443863</td>\n      <td id=\"T_7f353_row3_col3\" class=\"data row3 col3\" >0.333674</td>\n    </tr>\n    <tr>\n      <th id=\"T_7f353_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n      <td id=\"T_7f353_row4_col0\" class=\"data row4 col0\" >1.494079</td>\n      <td id=\"T_7f353_row4_col1\" class=\"data row4 col1\" >-0.205158</td>\n      <td id=\"T_7f353_row4_col2\" class=\"data row4 col2\" >0.313068</td>\n      <td id=\"T_7f353_row4_col3\" class=\"data row4 col3\" >-0.854096</td>\n    </tr>\n    <tr>\n      <th id=\"T_7f353_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n      <td id=\"T_7f353_row5_col0\" class=\"data row5 col0\" >-2.552990</td>\n      <td id=\"T_7f353_row5_col1\" class=\"data row5 col1\" >0.653619</td>\n      <td id=\"T_7f353_row5_col2\" class=\"data row5 col2\" >0.864436</td>\n      <td id=\"T_7f353_row5_col3\" class=\"data row5 col3\" >-0.742165</td>\n    </tr>\n    <tr>\n      <th id=\"T_7f353_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n      <td id=\"T_7f353_row6_col0\" class=\"data row6 col0\" >2.269755</td>\n      <td id=\"T_7f353_row6_col1\" class=\"data row6 col1\" >-1.454366</td>\n      <td id=\"T_7f353_row6_col2\" class=\"data row6 col2\" >0.045759</td>\n      <td id=\"T_7f353_row6_col3\" class=\"data row6 col3\" >-0.187184</td>\n    </tr>\n    <tr>\n      <th id=\"T_7f353_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n      <td id=\"T_7f353_row7_col0\" class=\"data row7 col0\" >1.532779</td>\n      <td id=\"T_7f353_row7_col1\" class=\"data row7 col1\" >1.469359</td>\n      <td id=\"T_7f353_row7_col2\" class=\"data row7 col2\" >0.154947</td>\n      <td id=\"T_7f353_row7_col3\" class=\"data row7 col3\" >0.378163</td>\n    </tr>\n    <tr>\n      <th id=\"T_7f353_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n      <td id=\"T_7f353_row8_col0\" class=\"data row8 col0\" >-0.887786</td>\n      <td id=\"T_7f353_row8_col1\" class=\"data row8 col1\" >-1.980796</td>\n      <td id=\"T_7f353_row8_col2\" class=\"data row8 col2\" >-0.347912</td>\n      <td id=\"T_7f353_row8_col3\" class=\"data row8 col3\" >0.156349</td>\n    </tr>\n    <tr>\n      <th id=\"T_7f353_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n      <td id=\"T_7f353_row9_col0\" class=\"data row9 col0\" >1.230291</td>\n      <td id=\"T_7f353_row9_col1\" class=\"data row9 col1\" >1.202380</td>\n      <td id=\"T_7f353_row9_col2\" class=\"data row9 col2\" >-0.387327</td>\n      <td id=\"T_7f353_row9_col3\" class=\"data row9 col3\" >-0.302303</td>\n    </tr>\n  </tbody>\n</table>\n```\n:::\n:::\n\n\n",
     "supporting": [
       "pandas-acting-on-data_files/figure-html"
     ],