use correct raw github urls (and other fixes)

Author: Conengmo

docs/advanced_guide/choropleth with Jenks natural breaks optimization.md

@@ -21,7 +21,7 @@ geo_json_data = requests.get(
 
 clf = 'Civilian_labor_force_2011'
 labor_force = pd.read_csv(
-    "https://github.com/python-visualization/folium-example-data/raw/main/us_labor_force_2011.csv"
+    "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/us_labor_force_2011.csv"
 )
 
 labor_force.head()

docs/advanced_guide/colormaps.md

@@ -19,7 +19,7 @@ geo_json_data = requests.get(
     "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/us_states.json"
 ).json()
 unemployment = pandas.read_csv(
-    "https://github.com/python-visualization/folium-example-data/raw/main/us_unemployment_oct_2012.csv"
+    "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/us_unemployment_oct_2012.csv"
 )
 
 unemployment_dict = unemployment.set_index("State")["Unemployment"]

docs/advanced_guide/piechart_icons.md

@@ -12,10 +12,11 @@ We'll make little piecharts showing the number of consonants and vowels in
 a couple of languages. Those piecharts will be included as icons on the map.
 
 ```{code-cell} ipython3
+import ast
 import pandas
 
 data = pandas.read_csv(
-    "https://github.com/python-visualization/folium-example-data/blob/main/consonants_vowels.csv",
+    "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/consonants_vowels.csv",
     # To ensure that tuples are read as tuples
     converters={"coordinates": ast.literal_eval},
 )

docs/getting_started.md

@@ -181,7 +181,7 @@ state_geo = requests.get(
     "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/us_states.json"
 ).json()
 state_data = pandas.read_csv(
-    "https://github.com/python-visualization/folium-example-data/raw/main/us_unemployment_oct_2012.csv"
+    "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/us_unemployment_oct_2012.csv"
 )
 
 m = folium.Map(location=[48, -102], zoom_start=3)

docs/user_guide/geojson/choropleth.md

@@ -35,7 +35,7 @@ Then, in playing with keyword arguments, you can get a choropleth in a few lines
 import pandas
 
 state_data = pandas.read_csv(
-    "https://github.com/python-visualization/folium-example-data/raw/main/us_unemployment_oct_2012.csv"
+    "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/us_unemployment_oct_2012.csv"
 )
 
 m = folium.Map([43, -100], zoom_start=4)

docs/user_guide/geojson/geojson.md

@@ -74,7 +74,7 @@ You can pass a geopandas object.
 ```{code-cell} ipython3
 import geopandas
 
-gdf = geopandas.read_file(filepath)
+gdf = geopandas.read_file(url)
 
 m = folium.Map([43, -100], zoom_start=4)
 
@@ -156,7 +156,7 @@ First, we may load the data:
 import pandas
 
 unemployment = pandas.read_csv(
-    "https://github.com/python-visualization/folium-example-data/raw/main/us_unemployment_oct_2012.csv"
+    "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/us_unemployment_oct_2012.csv"
 )
 
 unemployment.head(5)

docs/user_guide/geojson/geojson_marker.md

@@ -12,7 +12,7 @@ import folium
 import geopandas
 
 gdf = geopandas.read_file(
-    "https://github.com/python-visualization/folium-example-data/raw/main/subway_stations.geojson"
+    "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/subway_stations.geojson"
 )
 
 gdf.head()

docs/user_guide/geojson/geopandas_and_geo_interface.md

@@ -19,7 +19,7 @@ In this example, we'll use the same file as GeoPandas demo ; it's containing the
 import geopandas
 
 boros = geopandas.read_file(
-    "https://github.com/python-visualization/folium-example-data/raw/main/new_york_boroughs.zip"
+    "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/new_york_boroughs.zip"
 )
 
 boros
@@ -69,7 +69,7 @@ Folium should work with any object that implements the `__geo_interface__` but b
 import fiona
 import shapely
 
-url = "https://github.com/python-visualization/folium-example-data/raw/main/route_farol.gpx"
+url = "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/route_farol.gpx"
 with fiona.open(url, "r", layer="tracks") as records:
     tracks = [shapely.geometry.shape(record["geometry"]) for record in records]