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README.md

@@ -45,10 +45,11 @@ All files that are used to do Exploratory Data Analysis is stored in this [Googl
   ```bash
   conda install -c conda-forge gdal
   ```
+- OPTIONAL: Uncomment Lines 3 - 7 in ```requirements.txt``` if you want to also run the EDA files
   ```bash
   pip install -r requirements.txt
   ```
-- If there are no errors, you should be able to run the app smoothly along with the EDA files.
+- If there are no errors, you should be able to run the app smoothly.
 - Remember to run everything inside your virtual environment.
 
 ### Running the Application

klimainsights/pages/biodiversity.py

@@ -134,7 +134,7 @@ def update_bar(region, species_type, bio_switch, click_data):
     #     filtered_data = biodiversity_gdf[(biodiversity_gdf['area_type'].isin(['Sea']))].reset_index().drop(columns='index')
     # else:
     
-    filtered_data = biodiversity_gdf[biodiversity_gdf['island_group'] == region].sort_values(by=species_type, ascending=True).reset_index().drop(columns='index')
+    filtered_data = biodiversity_gdf[biodiversity_gdf['island_group'] == region].sort_values(by=species_type, ascending=True, ignore_index=True)
     
     if species_type == "total_species":
         txt = "Total"

klimainsights/pages/disaster.py

@@ -142,7 +142,7 @@ def update_line(division, click_data):
     else:
         return
     
-    island_gdf = temp_melted_gdf[(temp_melted_gdf[curr_div].isin([data]) == True)].drop(columns=['geometry'])
+    island_gdf = temp_melted_gdf[(temp_melted_gdf[curr_div].isin([data]) == True)].drop(columns=['geometry']).sort_values(by=['name', 'decade'], ascending=True, ignore_index=True)
 
     line_fig = px.line(island_gdf, x='decade', y='value',color='name')
     line_fig.update_layout(
@@ -167,7 +167,7 @@ def update_line(division, click_data):
         }],
         xaxis_tickangle=-45 
     )
-    hover_template = '<b>' + data + '</b><br>Average Temperature in<br>the %{x}:<br>%{y:.2f}°C<extra></extra>'
+    hover_template = '<br>Average Temperature in<br>the %{x}:<br><b>%{y:.2f}°C</b><extra></extra>'
     line_fig.update_traces(hovertemplate=hover_template)
 
     return line_fig            
@@ -278,9 +278,7 @@ def update_disaster_bar(division, disaster_type, island_group):
                 curr_disaster = 'Region_drought'
             case _:
                 return
-        island_disaster = Region_gdf[Region_gdf['Island Group'] == island_group].groupby('Region')[curr_disaster].sum().sort_values(ascending=True)
-        x = island_disaster.values
-        y = island_disaster.index
+        island_disaster = Region_gdf[Region_gdf['Island Group'] == island_group].drop(columns=['geometry', 'Area Name']).groupby(['Island Group', 'Region']).sum().reset_index().sort_values(by=curr_disaster, ascending=True, ignore_index=True)
     elif division == 'Province':
         curr_division = 'Area Name'
         match disaster_type:
@@ -300,12 +298,13 @@ def update_disaster_bar(division, disaster_type, island_group):
                 curr_disaster = 'Drought Count'
             case _:
                 return
-        island_disaster = Region_gdf[(Region_gdf['Island Group'] == island_group)].sort_values(by='Total Disaster Count', ascending=True)
-        x = curr_disaster
-        y = curr_division
+        island_disaster = Region_gdf[(Region_gdf['Island Group'] == island_group)].drop(columns=['geometry']).sort_values(by=curr_disaster, ascending=True, ignore_index=True)
     else:
         return
     # Create stacked bar plot using Plotly Express
+
+    x = curr_disaster
+    y = curr_division
     bar_fig = px.bar(island_disaster,
                 x=x,  
                 y=y,  
@@ -320,6 +319,6 @@ def update_disaster_bar(division, disaster_type, island_group):
     )
     hover_template = '<b>%{customdata[0]}</b><br>' + disaster_type + ' Count: %{x}<extra></extra>'
     bar_fig.update_traces(hovertemplate=hover_template,
-                    customdata=Region_gdf[[curr_division]])
-
+                    customdata=island_disaster[[curr_division]])
+    
     return bar_fig

plotly_interactions.ipynb

@@ -85,6 +85,15 @@
     "temperature_gdf.head()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "temp_melted_gdf.head()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -342,9 +351,9 @@
     "    else:\n",
     "        return\n",
     "\n",
-    "    island_gdf = temp_melted_gdf[(temp_melted_gdf[curr_div].isin([data]) == True)].drop(columns=['geometry'])\n",
+    "    island_gdf = temp_melted_gdf[(temp_melted_gdf[curr_div].isin([data]) == True)].drop(columns=['geometry']).sort_values(by=['name', 'decade'], ascending=True, ignore_index=True)\n",
     "\n",
-    "    line_fig = px.line(island_gdf, x='decade', y='value',color='name')\n",
+    "    line_fig = px.line(island_gdf, x='decade', y='value', color='name')\n",
     "    line_fig.update_layout(\n",
     "        autosize=True,  \n",
     "        height=700,\n",
@@ -367,12 +376,12 @@
     "        }],\n",
     "        xaxis_tickangle=-45 \n",
     "    )\n",
-    "    hover_template = '<b>' + data + '</b><br>Average Temperature in<br>the %{x}:<br>%{y:.2f}°C<extra></extra>'\n",
+    "    hover_template = '<br>Average Temperature in<br>the %{x}:<br><b>%{y:.2f}°C</b><extra></extra>'\n",
     "    line_fig.update_traces(hovertemplate=hover_template)\n",
     "\n",
     "    return line_fig\n",
     "\n",
-    "done = update_line('Region', 'RegionI')\n",
+    "done = update_line('Province', 'Abra')\n",
     "done.show()"
    ]
   },
@@ -985,9 +994,7 @@
     "                curr_disaster = 'Region_drought'\n",
     "            case _:\n",
     "                return\n",
-    "        island_disaster = Region_gdf[Region_gdf['Island Group'] == island_group].groupby('Region')[curr_disaster].sum().sort_values(ascending=True)\n",
-    "        x = island_disaster.values\n",
-    "        y = island_disaster.index\n",
+    "        island_disaster = Region_gdf[Region_gdf['Island Group'] == island_group].drop(columns=['geometry', 'Area Name']).groupby(['Island Group', 'Region']).sum().reset_index().sort_values(by=curr_disaster, ascending=True, ignore_index=True)\n",
     "    elif division == 'Province':\n",
     "        curr_division = 'Area Name'\n",
     "        match disaster_type:\n",
@@ -1007,12 +1014,13 @@
     "                curr_disaster = 'Drought Count'\n",
     "            case _:\n",
     "                return\n",
-    "        island_disaster = Region_gdf[(Region_gdf['Island Group'] == island_group)].sort_values(by='Total Disaster Count', ascending=True)\n",
-    "        x = curr_disaster\n",
-    "        y = curr_division\n",
+    "        island_disaster = Region_gdf[(Region_gdf['Island Group'] == island_group)].drop(columns=['geometry']).sort_values(by=curr_disaster, ascending=True, ignore_index=True)\n",
     "    else:\n",
     "        return\n",
     "    # Create stacked bar plot using Plotly Express\n",
+    "\n",
+    "    x = curr_disaster\n",
+    "    y = curr_division\n",
     "    bar_fig = px.bar(island_disaster,\n",
     "                x=x,  \n",
     "                y=y,  \n",
@@ -1027,11 +1035,11 @@
     "    )\n",
     "    hover_template = '<b>%{customdata[0]}</b><br>' + disaster_type + ' Count: %{x}<extra></extra>'\n",
     "    bar_fig.update_traces(hovertemplate=hover_template,\n",
-    "                    customdata=Region_gdf[[curr_division]])\n",
-    "\n",
+    "                    customdata=island_disaster[[curr_division]])\n",
+    "    \n",
     "    return bar_fig\n",
     "\n",
-    "test = update_disaster_bar('Province', 'Volcanic Activity', 'Visayas')\n",
+    "test = update_disaster_bar('Region', 'Total Disaster', 'Luzon')\n",
     "test.show()"
    ]
   },