changes

README.md

@@ -15,4 +15,12 @@ Check out the configuration reference at <https://huggingface.co/docs/hub/spaces
 
 ```bash
 git lfs track "*.png"
+git lfs track "*.csv"
+```
+
+### Removing commit
+
+```bash
+git reset --hard HEAD~1
+
 ``````

app.py

@@ -1,12 +1,32 @@
 import streamlit as st
 from PIL import Image
 import os
+import pandas as pd
 
 
+@st.cache
+def load_data():
+    df_ind = pd.read_csv("data/df_individuals_score.csv", index_col=[0])
+    df_ind = df_ind.drop("region_code", axis=1)
+    df_ind["productive_year"] = df_ind["productive_year"].astype(int)
+    df_ind["individual_wikidata_id"] = "https://www.wikidata.org/wiki/" + df_ind[
+        "individual_wikidata_id"
+    ].astype(str)
+
+    df_ind = df_ind[df_ind["productive_year"] <= 1800]
+
+    return df_ind
+
+
+df_ind = load_data()
+
 st.title("Our History in Data")
 
 # Set the global index path
 global_index_path = "data/immaterial_index/figures_trends_R/results"
+global_index_path_per_capita = (
+    "data/immaterial_index/figures_trends_R/results_per_capita"
+)
 unseen_index_path = (
     "data/immaterial_index/figures_trends_R/figures_unseen/results_unseen"
 )
@@ -19,61 +39,61 @@ population_path = "data/population"
 maps_path = "data/map_figures"
 
 
-# Update image_paths using global_index_path
-index_paths = {
-    "India": {
-        "map": f"{maps_path}/map_Indian world.png",
-        "global_index": f"{global_index_path}/india.png",
-        "unseen_index": f"{unseen_index_path}/india.png",
-        "unseen_index_capita": f"{unseen_capita_index_path}/india.png",
-        "population_index": f"{population_path}/Indian world.png",
-    },
-    "Japan": {
-        "map": f"{maps_path}/map_Japan.png",
-        "global_index": f"{global_index_path}/japan.png",
-        "unseen_index": f"{unseen_index_path}/japan.png",
-        "unseen_index_capita": f"{unseen_capita_index_path}/Japan.png",
-        "population_index": f"{population_path}/Japan.png",
-    },
-    "France": {
-        "map": f"{maps_path}/map_France.png",
-        "global_index": f"{global_index_path}/france.png",
-        "unseen_index": f"{unseen_index_path}/france.png",
-        "unseen_index_capita": f"{unseen_capita_index_path}/France.png",
-        "population_index": f"{population_path}/France.png",
-    },
-    "Italy": {
-        "map": f"{maps_path}/map_Italy.png",
-        "global_index": f"{global_index_path}/italy.png",
-        "unseen_index": f"{unseen_index_path}/italy.png",
-        "unseen_index_capita": f"{unseen_capita_index_path}/Italy.png",
-        "population_index": f"{population_path}/Italy.png",
-    },
-    "Spain": {
-        "map": f"{maps_path}/map_Spain.png",
-        "global_index": f"{global_index_path}/spain.png",
-        "unseen_index": f"{unseen_index_path}/spain.png",
-        "unseen_index_capita": f"{unseen_capita_index_path}/Spain.png",
-        "population_index": f"{population_path}/Spain.png",
-    },
-}
+from region_list import region_list
+
+index_paths = {}
 
+for region_key in region_list:
+    # Create the index paths for the current region
+    index_paths[region_key] = {
+        "map": f"{maps_path}/map_{region_key}.png",
+        "global_index": f"{global_index_path}/{region_key}.png",
+        "global_index_per_capita": f"{global_index_path_per_capita}/{region_key}.png",
+        "unseen_index": f"{unseen_index_path}/{region_key}.png",
+        "unseen_index_capita": f"{unseen_capita_index_path}/{region_key}.png",
+        "population_index": f"{population_path}/{region_key}.png",
+    }
 
 # Get the region names (keys) from the index_paths dictionary
 regions = list(index_paths.keys())
 
 # Allow the user to select a region
-selected_region = st.sidebar.selectbox("Region:", regions)
+selected_region = st.sidebar.selectbox("Region:", regions, index=regions.index("Japan"))
 
 # Display the selected region's images vertically
 if selected_region in index_paths:
+
+    df = df_ind[df_ind["region_name"] == selected_region]
+    df["productive_year"] = round(df["productive_year"], 0)
+    df = df.drop(["region_name", "decade"], axis=1)
+    df = df[
+        [
+            "individual_name",
+            "productive_year",
+            "score",
+            "individual_wikidata_id" "",
+        ]
+    ]
+    df = df.sort_values("score", ascending=False)
+    df = df.rename(columns={"score": "Number of Catalogs"})
+    df = df.reset_index(drop=True)
+    st.dataframe(df)
+
+    st.write(f"Number of Cultural producers active before 1800: {len(df)}")
+
     for key, path in index_paths[selected_region].items():
         if os.path.exists(path):
+
             if key == "global_index":
                 st.subheader("Global Index")
                 st.image(
                     Image.open(path), caption=key.capitalize(), use_column_width=True
                 )
+            elif key == "global_index_per_capita":
+                st.subheader("Index per capita")
+                st.image(
+                    Image.open(path), caption=key.capitalize(), use_column_width=True
+                )
             elif key == "unseen_index":
                 st.subheader("Unsee-Species Index")
                 st.image(
@@ -85,7 +105,7 @@ if selected_region in index_paths:
                     Image.open(path), caption=key.capitalize(), use_column_width=True
                 )
             elif key == "population_index":
-                st.subheader("¨Population Index")
+                st.subheader("Population Index")
                 st.image(
                     Image.open(path), caption=key.capitalize(), use_column_width=True
                 )
@@ -96,6 +116,3 @@ if selected_region in index_paths:
                 )
         else:
             st.write(f"File for {key.capitalize()} does not exist.")
-    # Add more information or charts specific to India here
-else:
-    st.write("Please select India as the region from the sidebar on the left.")

data/df_individuals_score.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07747503c90b023c4a239c50a03a44e7f22200e1b15280c3e34b5bf7edb95824
+size 46515967

region_list.py

@@ -0,0 +1,92 @@
+region_list = [
+    "Arabic world",
+    "Japan",
+    "Italy",
+    "mediterranean World",
+    "British Islands",
+    "Arabian peninsula",
+    "Northern India",
+    "South East Asia",
+    "Muslim world",
+    "Greek World",
+    "Central Europe",
+    "Ottoman Turkey",
+    "Chinese world",
+    "German world",
+    "Korea",
+    "Spain",
+    "Greece",
+    "Balkans",
+    "Low countries",
+    "Norway",
+    "Portugal",
+    "Ottoman world",
+    "Yangtze",
+    "Sweden",
+    "France",
+    "Slav world",
+    "Nordic countries",
+    "Indian world",
+    "Latin World",
+    "United Kingdom",
+    "Persian world",
+    "Eastern Europe",
+    "Western Europe",
+]
+
+
+full_region_list = [
+    "Southern India",
+    "Arabic world",
+    "Northern France",
+    "Japan",
+    "Austria",
+    "Southern France",
+    "Italy",
+    "Southern Japan",
+    "Northwestern Europe",
+    "mediterranean World",
+    "British Islands",
+    "Denmark",
+    "Arabian peninsula",
+    "Belgium",
+    "Switzerland",
+    "Finland",
+    "Northern India",
+    "South East Asia",
+    "Muslim world",
+    "Greek World",
+    "Central Europe",
+    "Netherlands",
+    "Ottoman Turkey",
+    "Chinese world",
+    "German world",
+    "Ireland",
+    "Korea",
+    "Germany",
+    "Spain",
+    "Greece",
+    "Northern China",
+    "Balkans",
+    "Low countries",
+    "Norway",
+    "Northern Japan",
+    "Portugal",
+    "Northern Italy",
+    "Ottoman world",
+    "Yangtze",
+    "Sweden",
+    "France",
+    "Southern China",
+    "Slav world",
+    "Iceland",
+    "Nordic countries",
+    "Indian world",
+    "Latin World",
+    "Southwestern Europe",
+    "United Kingdom",
+    "Southern Italy",
+    "Persian world",
+    "Eastern Europe",
+    "Western Europe",
+]