Merge pull request #19 from edavidaja/penguins

vendor penguins data

.github/workflows/docs.yml

@@ -43,6 +43,7 @@ jobs:
       - name: Create Github Deployment
         uses: bobheadxi/[email protected]
         id: deployment
+        if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           step: start
           token: ${{ secrets.GITHUB_TOKEN }}
@@ -52,6 +53,7 @@ jobs:
           logs: "https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}"
 
       - name: Netlify docs preview
+        if: ${{ !github.event.pull_request.head.repo.fork }}
         run: |
           npm install -g netlify-cli
           # push main branch to production, others to preview --
@@ -67,7 +69,7 @@ jobs:
 
       - name: Update Github Deployment
         uses: bobheadxi/[email protected]
-        if: ${{ always() }}
+        if: ${{ !github.event.pull_request.head.repo.fork && always() }}
         with:
           step: finish
           token: ${{ secrets.GITHUB_TOKEN }}

docs/get-started/controls-click-actions.qmd

@@ -14,15 +14,13 @@ You can add cell click actions using the onClick argument, which accepts the fol
 import htmltools
 from reactable import Reactable, Column, JS, embed_css
 
-from reactable.data import cars_93
-from palmerpenguins import load_penguins
+from reactable.data import cars_93, penguins
 import polars as pl
 
 
 embed_css()
 
-penguins = load_penguins()
-pl_penguins = pl.from_pandas(penguins)
+pl_penguins = penguins.to_polars()
 ```
 
 

docs/get-started/controls-filtering.qmd

@@ -4,15 +4,13 @@ title: Filtering
 
 ```{python}
 from reactable import Reactable, Column, JS, embed_css
-from reactable.data import cars_93
+from reactable.data import cars_93, penguins
 
-from palmerpenguins import load_penguins
 import polars as pl
 
 embed_css()
 
-penguins = load_penguins()
-pl_penguins = pl.from_pandas(penguins)
+pl_penguins = penguins.to_polars()
 
 cars = cars_93[:20, ["manufacturer", "model", "type", "air_bags", "price"]]
 ```

docs/get-started/controls-sorting.qmd

@@ -5,15 +5,14 @@ jupyter: python3
 
 ```{python}
 from reactable import Reactable, Column, embed_css
+from reactable.data import penguins
 
-from palmerpenguins import load_penguins
 import polars as pl
 
 
 embed_css()
 
-penguins = load_penguins()
-pl_penguins = pl.from_pandas(penguins)
+pl_penguins = penguins.to_polars()
 ```
 
 Tables are sortable by default. You can sort a column by clicking on its header, or sort multiple columns by holding the shift key while sorting.

docs/get-started/structure-column-groups.qmd

@@ -6,10 +6,9 @@ title: Column headers
 import polars as pl
 
 from reactable import Reactable, Column, ColGroup, embed_css
-from palmerpenguins import load_penguins
+from reactable.data import penguins
 
-penguins = load_penguins()
-pl_penguins = pl.from_pandas(penguins)
+pl_penguins = penguins.to_polars()
 
 embed_css()
 ```

docs/get-started/structure-details.qmd

@@ -4,15 +4,14 @@ title: Expandable details
 
 ```{python}
 from reactable import Reactable, Column, ColFormat, JS, embed_css
+from reactable.data import penguins
 
-from palmerpenguins import load_penguins
 import polars as pl
 
 
 embed_css()
 
-penguins = load_penguins()
-pl_penguins = pl.from_pandas(penguins)
+pl_penguins = penguins.to_polars()
 ```
 
 You can make rows expandable with additional content through details, which takes an Python or JavaScript render function. See [Custom Rendering](./format-custom-rendering.qmd) for details on how to use render functions.

pyproject.toml

@@ -42,7 +42,6 @@ dependencies = [
     "IPython",
     "importlib-metadata",
     "importlib-resources",
-    "palmerpenguins",
     "typing_extensions>=3.10.0.0",
 ]
 requires-python = ">=3.9"

reactable/data/__init__.py

@@ -11,6 +11,7 @@
     "cars_93",
     "co2",
     "nottem",
+    "penguins",
     "prices",
     "sleep",
     "starwars",
@@ -53,6 +54,17 @@
     )
 )
 
+penguins = SimpleFrame.read_csv(BIG_DATA / "penguins.csv").cast(
+    dict(
+        bill_length_mm=float,
+        bill_depth_mm=float,
+        flipper_length_mm=float,
+        body_mass_g=float,
+        year=int,
+        sex=str
+    ),
+    na_char="NA"
+)
 
 prices = SimpleFrame.from_dict(
     {