Commit
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37f612f
1
Parent(s):
af7ba50
Pytorch V0.7
Browse files
app.py
CHANGED
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@@ -1,4 +1,3 @@
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import streamlit as st
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import pandas as pd
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import requests
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@@ -11,35 +10,44 @@ def get_data():
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if response.status_code == 200:
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data = response.json()
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records = data["records"]
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for record in records:
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fields = record
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if
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fields[
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fields[
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return
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def display_organisations_engagees(data):
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st.markdown("## OPEN DATA RSE")
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st.markdown("### Découvrez les organisations engagées RSE de la métropole de Bordeaux")
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df = pd.DataFrame(data)
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if not df.empty:
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st.dataframe(df)
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else:
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st.write("Aucune donnée disponible.")
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def display_map(data):
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m = folium.Map(location=[44.837789, -0.57918], zoom_start=12)
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for item in data:
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folium_static(m)
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def main():
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import streamlit as st
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import pandas as pd
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import requests
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if response.status_code == 200:
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data = response.json()
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records = data["records"]
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cleaned_data = []
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for record in records:
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fields = record["fields"]
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geoloc = fields.get('geolocalisation')
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if geoloc and len(geoloc) == 2:
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# Ajoutez latitude et longitude directement aux champs pour faciliter l'accès
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fields['latitude'] = geoloc[0]
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fields['longitude'] = geoloc[1]
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cleaned_data.append(fields)
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return cleaned_data
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else:
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return []
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def display_organisations_engagees(data):
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st.markdown("## OPEN DATA RSE")
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st.markdown("### Découvrez les organisations engagées RSE de la métropole de Bordeaux")
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df = pd.DataFrame(data)
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if not df.empty:
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df = df.rename(columns={
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"nom_courant_denomination": "Nom",
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"commune": "Commune",
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"libelle_section_naf": "Section NAF",
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"tranche_effectif_entreprise": "Effectif",
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"action_rse": "Action RSE"
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})
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df = df[["Nom", "Commune", "Section NAF", "Effectif", "Action RSE"]]
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st.dataframe(df)
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def display_map(data):
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m = folium.Map(location=[44.837789, -0.57918], zoom_start=12)
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for item in data:
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if 'latitude' in item and 'longitude' in item:
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folium.Marker(
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[item['latitude'], item['longitude']],
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icon=folium.Icon(color="green", icon="leaf"),
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popup=item.get('nom_courant_denomination', 'Sans nom'),
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).add_to(m)
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folium_static(m)
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def main():
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