docs: Use vega_datasets instead of url

#3625 (comment)
vega · Oct 3, 2024 · 5052f4c · 5052f4c
1 parent 2d07630
commit 5052f4c
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Showing 2 changed files with 20 additions and 16 deletions.
diff --git a/tests/examples_arguments_syntax/calculate_residuals.py b/tests/examples_arguments_syntax/calculate_residuals.py
@@ -10,23 +10,25 @@
 # category: advanced calculations
 
 import altair as alt
+from vega_datasets import data
 
-imdb_rating = alt.datum["IMDB Rating"]
+imdb_rating = alt.datum["IMDB_Rating"]
+source = data.movies.url
 
 chart = (
-    alt.Chart("https://vega.github.io/vega-lite/data/movies.json")
+    alt.Chart(source)
     .mark_point()
     .transform_filter(imdb_rating != None)
     .transform_filter(
-        alt.FieldRangePredicate("Release Date", [None, 2019], timeUnit="year")
+        alt.FieldRangePredicate("Release_Date", [None, 2019], timeUnit="year")
     )
-    .transform_joinaggregate(AverageRating="mean(IMDB Rating)")
-    .transform_calculate(RatingDelta=imdb_rating - alt.datum.AverageRating)
+    .transform_joinaggregate(Average_Rating="mean(IMDB_Rating)")
+    .transform_calculate(Rating_Delta=imdb_rating - alt.datum.Average_Rating)
     .encode(
-        x="Release Date:T",
-        y=alt.Y("RatingDelta:Q", title="Rating Delta"),
+        x=alt.X("Release_Date:T", title="Release Date"),
+        y=alt.Y("Rating_Delta:Q", title="Rating Delta"),
         color=alt.Color(
-            "RatingDelta:Q",
+            "Rating_Delta:Q",
             title="Rating Delta",
             scale=alt.Scale(domainMid=0),
         ),

diff --git a/tests/examples_methods_syntax/calculate_residuals.py b/tests/examples_methods_syntax/calculate_residuals.py
@@ -10,22 +10,24 @@
 # category: advanced calculations
 
 import altair as alt
+from vega_datasets import data
 
-imdb_rating = alt.datum["IMDB Rating"]
+imdb_rating = alt.datum["IMDB_Rating"]
+source = data.movies.url
 
 chart = (
-    alt.Chart("https://vega.github.io/vega-lite/data/movies.json")
+    alt.Chart(source)
     .mark_point()
     .transform_filter(imdb_rating != None)
     .transform_filter(
-        alt.FieldRangePredicate("Release Date", [None, 2019], timeUnit="year")
+        alt.FieldRangePredicate("Release_Date", [None, 2019], timeUnit="year")
     )
-    .transform_joinaggregate(AverageRating="mean(IMDB Rating)")
-    .transform_calculate(RatingDelta=imdb_rating - alt.datum.AverageRating)
+    .transform_joinaggregate(Average_Rating="mean(IMDB_Rating)")
+    .transform_calculate(Rating_Delta=imdb_rating - alt.datum.Average_Rating)
     .encode(
-        x="Release Date:T",
-        y=alt.Y("RatingDelta:Q").title("Rating Delta"),
-        color=alt.Color("RatingDelta:Q").title("Rating Delta").scale(domainMid=0),
+        x=alt.X("Release_Date:T").title("Release Date"),
+        y=alt.Y("Rating_Delta:Q").title("Rating Delta"),
+        color=alt.Color("Rating_Delta:Q").title("Rating Delta").scale(domainMid=0),
     )
 )
 chart