tests that exercise juice via gt, pandas

tests/docs/smoke-all/typst/gt-islands.qmd

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+---
+title: "gt - Islands"
+format:
+  typst:
+    quality: 1
+    keep-typ: true
+  html:
+    quality: 1
+    format-links: false
+_quarto:
+  tests:
+    typst:
+      ensureTypstFileRegexMatches:
+        - ['#set text\(size: 1.25em , fill: rgb\("#333333"\)\); Large Landmasses of the World']
+        - []
+---
+
+```{r}
+library(gt)
+library(dplyr)
+
+islands_tbl <-
+  tibble(
+    name = names(islands),
+    size = islands
+  ) |>
+  arrange(desc(size)) |>
+  slice(1:10)
+
+gt_tbl <- gt(islands_tbl)
+
+gt_tbl <-
+  gt_tbl |>
+  tab_header(
+    title = "Large Landmasses of the World",
+    subtitle = "The top ten largest are presented"
+  )
+
+gt_tbl <-
+  gt_tbl |>
+  tab_source_note(
+    source_note = "Source: The World Almanac and Book of Facts, 1975, page 406."
+  ) |>
+  tab_source_note(
+    source_note = md("Reference: McNeil, D. R. (1977) *Interactive Data Analysis*. Wiley.")
+  )
+
+# Show the gt table
+gt_tbl
+
+```

tests/docs/smoke-all/typst/pandas-cell-css-rules.qmd

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+---
+title: "Pandas - Acting on Data"
+format:
+  typst:
+    quality: 1
+    keep-typ: true
+  html:
+    quality: 1
+    format-links: false
+references:
+  - type: website
+    id: pandas-user-guide
+    url: https://pandas.pydata.org/pandas-docs/version/2.2.2/user_guide/style.html#Acting-on-the-Index-and-Column-Headers
+_quarto:
+  tests:
+    typst:
+      ensureTypstFileRegexMatches:
+        - [
+          'table.cell\(fill: rgb\("#ffc0cb"\)\)\[#set text\(fill: white\); 1.867558\]',
+          '\[#set text\(fill: rgb\("#ff413633"\)\); -0.151357\]'
+        ]
+        - []
+---
+
+```{python}
+import pandas as pd
+import numpy as np
+
+np.random.seed(0)
+df2 = pd.DataFrame(np.random.randn(10,4), columns=['A','B','C','D'])
+
+def style_negative(v, props=''):
+    return props if v < 0 else None
+s2 = df2.style.map(style_negative, props='color:red;')\
+              .map(lambda v: 'opacity: 20%;' if (v < 0.3) and (v > -0.3) else None)
+
+def highlight_max(s, props=''):
+    return np.where(s == np.nanmax(s.values), props, '')
+
+# darkblue, pink
+s2.apply(highlight_max, props='color:white;background-color:#00008b', axis=0)\
+.apply(highlight_max, props='color:white;background-color: #ffc0cb;', axis=1)\
+.apply(highlight_max, props='color:white;background-color:purple', axis=None)
+
+```