modify pages

pages/1_🌲_Japan_Vegetation_Cover.py

@@ -38,6 +38,9 @@ data_links = {
     "Saitama": "https://raw.githubusercontent.com/kunifujiwara/data/master/frac_veg/FRAC_VEG_Saitama.geojson",
 }
 
+# Predefined list of color palettes
+color_palettes = ['viridis', 'plasma', 'inferno', 'magma', 'cividis', 'Blues', 'Greens', 'Reds', 'Oranges', 'Purples']
+
 @st.cache_data
 def get_geom_data(prefecture):
     response = requests.get(data_links[prefecture])
@@ -92,9 +95,8 @@ def app():
         [0.6, 0.68, 0.7, 0.7, 1.5, 0.8]
     )
 
-    palettes = cm.list_colormaps()
     with row2_col1:
-        palette = st.selectbox("Color palette", palettes, index=palettes.index("Blues"))
+        palette = st.selectbox("Color palette", color_palettes, index=color_palettes.index('Blues'))
     with row2_col2:
         n_colors = st.slider("Number of colors", min_value=2, max_value=20, value=8)
     with row2_col3:
@@ -111,7 +113,7 @@ def app():
         else:
             elev_scale = 1
 
-    color_scale = cm.LinearColormap(colors=cm.get_palette(palette, n_colors), vmin=gdf[selected_attribute].min(), vmax=gdf[selected_attribute].max())
+    color_scale = cm.LinearColormap(colors=palette, vmin=gdf[selected_attribute].min(), vmax=gdf[selected_attribute].max(), n=n_colors)
     gdf['color'] = gdf[selected_attribute].apply(lambda x: color_scale(x))
     gdf['color'] = gdf['color'].apply(lambda x: [int(x[1:3], 16), int(x[3:5], 16), int(x[5:7], 16)])