dashboard

app.py

@@ -1,18 +1,17 @@
 import streamlit as st
 from streamlit_option_menu import option_menu
-import ast
 from PIL import Image
-import leafmap.foliumap as leafmap
-from apps import home,eda,models,demo
 
-st.set_page_config(layout="wide")
+from apps import home, dashboard, models,demo
+
+#st.set_page_config(layout="wide")
 image = Image.open('data/logo.png')
 image=image.resize((100,100))
 header = st.container()
 
 apps = [
     {"func": home.app, "title": "Home", "icon": "house"},
-    {"func": eda.app, "title": "EDA", "icon": "bar-chart"},
+    {"func": dashboard.app, "title": "Dashboard", "icon": "bar-chart"},
     {"func": models.app, "title": "Models", "icon": "cpu"},
     {"func": demo.app, "title": "Demo", "icon": "cloud-upload"},
 ]

apps/dashboard.py

@@ -0,0 +1,110 @@
+import streamlit as st
+import pandas as pd
+import geopandas as gpd
+from millify import millify
+import folium
+from PIL import Image
+from streamlit_folium import st_folium
+
+def app():
+    
+
+    APP_TITLE = "Italy Agrifoods Data"
+    image = Image.open('data/logo.png')
+    image=image.resize((100,100))
+    st.title(APP_TITLE)
+    #st.set_page_config(layout="wide")
+
+    st.title(APP_TITLE)
+
+
+    image = Image.open('data/logo.png')
+    image=image.resize((100,100))
+
+
+    #load data
+    df_olives = pd.read_csv("data/Italy_regions_with_code_grapes_olives.csv")    
+    df_cereals = pd.read_csv("data/Italy_regions_with_code_cereals.csv")
+    df_veg = pd.read_csv("data/Italy_regions_with_code_fresh_veg.csv")
+    df_fruit = pd.read_csv("data/Italy_regions_with_code_fruit.csv")
+    df = df_fruit
+    year = ''
+    region = "Abruzzo"
+
+
+
+    #st.write(df.shape)
+    #st.write(df.head())
+
+
+    product = display_product()
+    col1, col2 = st.columns(2)
+
+    #display map
+    with col1:
+        year = display_time_filters(df)
+
+    #st.header('{Header!!!!}')
+    region = display_map(df, year)
+
+    with col2:
+        #display metric
+        region = display_state_filter(df, region)
+        metric_title = f"{product} Harvested Production in Quintals {region} - Italy: {year}"
+        display_yield(df, year, region, metric_title)
+        
+
+
+def display_time_filters(df):
+    year_list = list(df['TIME'].unique())
+    year_list.sort()
+    year = st.selectbox('Year', year_list, len(year_list)-1)
+    #st.header(f'{year}')
+    return year
+
+def display_product():
+    product_list= ['Cereals', 'Vegetables', 'Fruits', 'Olive']
+    product = st.selectbox('Agricultural Product',product_list)
+    return product 
+
+def display_state_filter(df, Region):
+    region_list = [''] + list(df['Region'].unique())
+    region_list.sort()
+    state_index = region_list.index(Region) if Region and Region in region_list else 0
+    return st.selectbox('Region', region_list, state_index)
+
+def display_yield(df, year, region, metric_title):
+    df = df[df["TIME"] == year]
+    if region:
+        df = df[df["Region"] == region]
+    total = df['Value'].sum()
+    st.metric(metric_title, millify(total))
+
+def display_map(df, year):
+    df = df[df["TIME"] == year]
+    map = folium.Map(location=[42.3, 13], zoom_start=5,scrollWheelZoom=False, tiles='CartoDB positron')
+    gpd_data = gpd.read_file("data/Italy_regions.zip")
+    #st.write(gpd_data[gpd_data['NAME_1']=="Valle d'Aosta"])
+    #st.write(gpd_data)
+    ch = folium.Choropleth(
+            geo_data=gpd_data,
+            data=df,
+            columns=['region_code', 'Value'],
+            key_on="feature.properties.ID_1",
+            fill_color='YlGn',
+            highlight=True
+    ).add_to(map)
+    ch.geojson.add_child(
+        folium.features.GeoJsonTooltip(['NAME_1'], labels=False)
+    )
+    st_map = st_folium(map, width=700, height= 450)
+    
+    region_name = ''
+    if st_map['last_active_drawing']:
+        region_name = st_map['last_active_drawing']['properties']['NAME_1']
+        if region_name == 'Sicily':
+            return 'Sicilia'
+        if region_name == 'Apulia':
+            return 'Puglia'
+    return region_name
+

apps/eda.py

@@ -1,5 +0,0 @@
-import streamlit as st
-import leafmap.foliumap as leafmap
-
-def app():
-    st.title("EDA")

apps/home.py

@@ -11,33 +11,4 @@ def app():
     methods. The team worked on different tasks which are independent of each other to address the same 
     project goal. For demonstration, the team integrated all of them into one dashboard with good usability
     for non-technical decision-makers. 
-    ''')
-
-    
-
-
-
-    #mp = st.image(it_map)
-
-    # row1_col1, row1_col2 = st.columns([3, 1.3])
-    # width = 800
-    height = 600
-    # layers = None
-
-
-    url = "https://services.terrascope.be/wms/v2"
-
-    m = leafmap.Map(center=(42.3, 14), zoom=6)
-    m.add_geojson("data/limits_IT_provinces.geojson")
-    # if layers is not None:
-    #     for layer in layers:
-    #         m.add_wms_layer(
-    #             url, layers=layer, name=layer, attribution=" ", transparent=True
-    #         )
-
-    m.to_streamlit(height=height)
-
-
-# def get_layers(url):
-#         options = leafmap.get_wms_layers(url)
-#     return options    
+    ''')

data/Italy_regions.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6ae423d39bda861be020fedd025e0b1fe0dc2fe6ddb01cf305b0854dbcb6d2b
+size 1290683

data/Italy_regions_with_code_cereals.csv

@@ -0,0 +1,375 @@
+Region,TIME,Value,region_code
+Abruzzo,2006,6092446,1
+Abruzzo,2007,5549500,1
+Abruzzo,2008,6084491,1
+Abruzzo,2009,4710823,1
+Abruzzo,2010,5915949,1
+Abruzzo,2011,5511926,1
+Abruzzo,2012,5640901,1
+Abruzzo,2013,5570913,1
+Abruzzo,2014,5663911,1
+Abruzzo,2015,5652796,1
+Abruzzo,2016,5601197,1
+Abruzzo,2017,5588505,1
+Abruzzo,2018,5331300,1
+Abruzzo,2019,5484675,1
+Abruzzo,2020,5525690,1
+Abruzzo,2021,7239373,1
+Abruzzo,2022,7340386,1
+Basilicata,2006,5347248,3
+Basilicata,2007,5535231,3
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+Basilicata,2009,3604460,3
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+Basilicata,2011,4571991,3
+Basilicata,2012,4739612,3
+Basilicata,2013,4732934,3
+Basilicata,2014,4736872,3
+Basilicata,2015,4686787,3
+Basilicata,2016,4705940,3
+Basilicata,2017,4269720,3
+Basilicata,2018,4339762,3
+Basilicata,2019,4305124,3
+Basilicata,2020,4305124,3
+Basilicata,2021,5229584,3
+Basilicata,2022,5352405,3
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data/Italy_regions_with_code_fresh_veg.csv

@@ -0,0 +1,366 @@
+Region,TIME,Value,region_code
+Abruzzo,2006,5525484,1
+Abruzzo,2007,5044682,1
+Abruzzo,2008,5692082,1
+Abruzzo,2009,5693706,1
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+Abruzzo,2017,5752833,1
+Abruzzo,2018,5762400,1
+Abruzzo,2019,5833224,1
+Abruzzo,2020,5799134,1
+Abruzzo,2021,5787682,1
+Abruzzo,2022,5555167,1
+Basilicata,2006,3733749,3
+Basilicata,2007,4134619,3
+Basilicata,2008,3666111,3
+Basilicata,2009,4098476,3
+Basilicata,2010,4044564,3
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data/Italy_regions_with_code_fruit.csv

@@ -0,0 +1,372 @@
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data/Italy_regions_with_code_grapes_olives.csv

@@ -0,0 +1,318 @@
+Region,TIME,Value,region_code
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data/grapes_olives_by_region.csv

@@ -0,0 +1,318 @@
+,Region,TIME,Value
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+1,Abruzzo,2007,1119263.0
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+14,Abruzzo,2020,1239000.0
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+16,Basilicata,2006,359506.0
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+35,Calabria,2009,8937489.0
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