From cd1ac2c2518569fc978b0876dfd76d60562c4c42 Mon Sep 17 00:00:00 2001
From: dangotbanned <125183946+dangotbanned@users.noreply.github.com>
Date: Thu, 6 Feb 2025 15:13:06 +0000
Subject: [PATCH] docs: Resolve `geopandas.read_file(...)` warnings

Closes #3794
---
 doc/user_guide/marks/geoshape.rst                      | 10 +++++-----
 .../interval_selection_map_quakes.py                   |  4 ++--
 .../interval_selection_map_quakes.py                   |  4 ++--
 3 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/doc/user_guide/marks/geoshape.rst b/doc/user_guide/marks/geoshape.rst
index 4c612ca61..f4b38cb3e 100644
--- a/doc/user_guide/marks/geoshape.rst
+++ b/doc/user_guide/marks/geoshape.rst
@@ -254,7 +254,7 @@ Here we lookup the field ``rate`` from the ``df_us_unemp`` DataFrame, where the
     from vega_datasets import data
     import geopandas as gpd
 
-    gdf_us_counties = gpd.read_file(data.us_10m.url, driver='TopoJSON', layer='counties')
+    gdf_us_counties = gpd.read_file(data.us_10m.url, layer="counties")
     df_us_unemp = data.unemployment()
 
     alt.Chart(gdf_us_counties).mark_geoshape().transform_lookup(
@@ -470,7 +470,7 @@ regular faceting will not work for geographic visualization:
 .. altair-plot::
 
     source = data.population_engineers_hurricanes().melt(id_vars=['state', 'id'])
-    us_states = gpd.read_file(data.us_10m.url, driver='TopoJSON', layer='states')
+    us_states = gpd.read_file(data.us_10m.url, layer="states")
     gdf_comb = gpd.GeoDataFrame(source.join(us_states, on='id', rsuffix='_y'))
 
     alt.Chart(gdf_comb).mark_geoshape().encode(
@@ -524,7 +524,7 @@ populous states. Using an ``alt.selection_point()`` we define a selection parame
     import geopandas as gpd
 
     # load the data
-    us_states = gpd.read_file(data.us_10m.url, driver="TopoJSON", layer="states")
+    us_states = gpd.read_file(data.us_10m.url, layer="states")
     us_population = data.population_engineers_hurricanes()[["state", "id", "population"]]
 
     # define a pointer selection
@@ -583,8 +583,8 @@ We use here an elegant way to access the nested point coordinates from the geome
     import geopandas as gpd
 
     # load data
-    gdf_quakies = gpd.read_file(data.earthquakes.url, driver="GeoJSON")
-    gdf_world = gpd.read_file(data.world_110m.url, driver="TopoJSON")
+    gdf_quakies = gpd.read_file(data.earthquakes.url)
+    gdf_world = gpd.read_file(data.world_110m.url, layer="countries")
 
     # define parameters
     range0 = alt.binding_range(min=-180, max=180, step=5, name='rotate longitude ')
diff --git a/tests/examples_arguments_syntax/interval_selection_map_quakes.py b/tests/examples_arguments_syntax/interval_selection_map_quakes.py
index 3a2d71c86..ebc880d29 100644
--- a/tests/examples_arguments_syntax/interval_selection_map_quakes.py
+++ b/tests/examples_arguments_syntax/interval_selection_map_quakes.py
@@ -11,8 +11,8 @@
 import geopandas as gpd
 
 # load data
-gdf_quakies = gpd.read_file(data.earthquakes.url, driver="GeoJSON")
-gdf_world = gpd.read_file(data.world_110m.url, driver="TopoJSON")
+gdf_quakies = gpd.read_file(data.earthquakes.url)
+gdf_world = gpd.read_file(data.world_110m.url, layer="countries")
 
 # defintion for interactive brush
 brush = alt.selection_interval(
diff --git a/tests/examples_methods_syntax/interval_selection_map_quakes.py b/tests/examples_methods_syntax/interval_selection_map_quakes.py
index f4e89ad65..2364fc132 100644
--- a/tests/examples_methods_syntax/interval_selection_map_quakes.py
+++ b/tests/examples_methods_syntax/interval_selection_map_quakes.py
@@ -11,8 +11,8 @@
 import geopandas as gpd
 
 # load data
-gdf_quakies = gpd.read_file(data.earthquakes.url, driver="GeoJSON")
-gdf_world = gpd.read_file(data.world_110m.url, driver="TopoJSON")
+gdf_quakies = gpd.read_file(data.earthquakes.url)
+gdf_world = gpd.read_file(data.world_110m.url, layer="countries")
 
 # defintion for interactive brush
 brush = alt.selection_interval(