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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
APP_TITLE = "Italy Agrifoods Data"
APP_SUB_TITLE = "by Omdena Milan chapter 👇 (https://omdena.com/local-chapters/milan-italy-chapter/)"
image = Image.open('data/logo.png')
image=image.resize((100,100))
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
def main():
st.set_page_config(APP_TITLE, layout="centered")
st.title(APP_TITLE)
image = Image.open('data/logo.png')
image=image.resize((100,100))
with st.sidebar:
logo = st.image(image)
st.caption(APP_SUB_TITLE)
#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 = ""
#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!!!!}')
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)
region = display_map(df, year)
#st.header('{Header!!!!}')
#metric_title = f"Harvested Production in Quintals {region} - Italy: {year}"
if __name__ == "__main__":
main()
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