diff --git a/.gitignore b/.gitignore index a21d144..ae45a6f 100644 --- a/.gitignore +++ b/.gitignore @@ -102,7 +102,7 @@ ipython_config.py # This is especially recommended for binary packages to ensure reproducibility, and is more # commonly ignored for libraries. # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control -#poetry.lock +poetry.lock # pdm # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. diff --git a/dashboards/app/home.py b/dashboards/app/home.py index e43f5a0..3e4743c 100644 --- a/dashboards/app/home.py +++ b/dashboards/app/home.py @@ -104,10 +104,28 @@ def load_df_nb_dechet() -> pd.DataFrame: "sation/data/data_releve_nb_dechet.csv", ) - # Appel des fonctions pour charger les données + @st.cache_data + # Définition d'une fonction pour charger les evenements à venir + def load_df_events_clean() -> pd.DataFrame: + """Chargement du dataset 'export_event_cleaned.csv' + + Les 'évenements à venir' sont dans un autre dataset que data_zds + La liste des événements RAW est dans #2/explo/data/export_events_14032024.xlsx + Le script de nettoyage est #2/explo/cleaning_events.py + + Returns: + pd.DataFrame: DF des événements à venir nettoyé + """ + return pd.read_csv( + "https://github.com/dataforgoodfr/12_zero_dechet_sauvage/raw/2-" + "nettoyage-et-augmentation-des-donn%C3%A9es/Exploration_visuali" + "sation/data/export_events_cleaned.csv", + ) + # Appel des fonctions pour charger les données df_other = load_df_other() df_structures = load_structures() + df_events = load_df_events_clean() # Création du filtre par niveau géographique : correspondance labels et variables df_nb_dechets = load_df_nb_dechet() @@ -187,6 +205,7 @@ def load_df_nb_dechet() -> pd.DataFrame: ] st.session_state["structures_filtre"] = df_structures_filtre st.session_state["structures"] = df_structures + st.session_state["events"] = df_events # Filtrer et enregistrer le dataframe nb_dechets dans session.State # Récuperer la liste des relevés diff --git a/dashboards/app/pages/actions.py b/dashboards/app/pages/actions.py index fc3feb4..5183159 100644 --- a/dashboards/app/pages/actions.py +++ b/dashboards/app/pages/actions.py @@ -30,19 +30,10 @@ else: st.write(f"Votre territoire : {filtre_niveau} {filtre_collectivite}") - # Définition d'une fonction pour charger les evenements à venir - def load_df_events_clean() -> pd.DataFrame: - return pd.read_csv( - "https://github.com/dataforgoodfr/12_zero_dechet_sauvage/raw/2-" - "nettoyage-et-augmentation-des-donn%C3%A9es/Exploration_visuali" - "sation/data/export_events_cleaned.csv" - ) - - # Appel des fonctions pour charger les données - df_events = load_df_events_clean() - # Appeler les dataframes volumes et nb_dechets filtré depuis le session state - if "df_other_filtre" not in st.session_state: + if ("df_other_filtre" not in st.session_state) or ( + "events" not in st.session_state + ): st.write( """ ### :warning: Merci de sélectionner une collectivité\ @@ -52,6 +43,7 @@ def load_df_events_clean() -> pd.DataFrame: st.stop() else: df_other = st.session_state["df_other_filtre"].copy() + df_events = st.session_state["events"].copy() # 2 Onglets : Evènements, Evènements à venir tab1, tab2 = st.tabs( @@ -62,7 +54,7 @@ def load_df_events_clean() -> pd.DataFrame: ) # Locale du package Babel - locale = Locale("fr", "FR") + bbl_locale = Locale("fr", "FR") # Onglet 1 : Evènements with tab1: @@ -119,7 +111,7 @@ def load_df_events_clean() -> pd.DataFrame: format_date( datetime(2022, mois_dict[mois_liste[x - 1]], 1), format="MMMM", - locale=locale, + locale=bbl_locale, ) ), index=0, @@ -141,8 +133,6 @@ def load_df_events_clean() -> pd.DataFrame: df_ramassages = df_other_filtre.copy() # Calcul des indicateurs clés de haut de tableau avant transformation - volume_total = df_ramassages["VOLUME_TOTAL"].sum() - poids_total = df_ramassages["POIDS_TOTAL"].sum() nombre_participants = df_ramassages["NB_PARTICIPANTS"].sum() nb_collectes = len(df_ramassages) nombre_structures = df_ramassages["ID_STRUCTURE"].nunique() @@ -201,10 +191,40 @@ def load_df_events_clean() -> pd.DataFrame: # Application d'une limite minimale pour le rayon si nécessaire radius = max(radius, 5) + format_participants = "{:.0f}".format(row.NB_PARTICIPANTS) + + html = f""" +
+

+

+ Evénement +
+
+ {row.NOM_EVENEMENT} +
+
+ Structure +
+
+ {row.NOM_STRUCTURE} +
+
+
+ Date : {row.DATE.strftime("%d/%m/%Y")} +
+
+ Nombre de participants : {format_participants} +
+

+
+ """ + + popup = folium.Popup(html, max_width=300) + folium.CircleMarker( location=(row["LIEU_COORD_GPS_Y"], row["LIEU_COORD_GPS_X"]), radius=radius, # Utilisation du rayon ajusté - popup=f"{row['NOM_ZONE']}, {row['LIEU_VILLE']}, {row['NOM_EVENEMENT']}, {row['DATE']} : nombre de participants : {row['NB_PARTICIPANTS']}", + popup=popup, color="#3186cc", fill=True, fill_color="#3186cc", @@ -235,8 +255,14 @@ def load_df_events_clean() -> pd.DataFrame: color_discrete_sequence=colors, category_orders={"NIVEAU_CARAC": [0, 1, 2, 3, 4]}, ) + fig1_actions.update_traces( - textposition="inside", texttemplate="%{label}
%{percent:.1%}" + textfont_size=12, + textfont_color="white", + textposition="inside", + textinfo="percent+label", + texttemplate="%{label}
%{percent:.1%}", + hovertemplate="Niveau %{label}
%{value} ramassages", ) # préparation du dataframe et figure releves types de déchets @@ -248,14 +274,29 @@ def load_df_events_clean() -> pd.DataFrame: df_type_dechet_counts_sorted = df_type_dechet_counts.sort_values( by="counts", ascending=False ) + fig2_actions = px.bar( df_type_dechet_counts_sorted, y="counts", x="TYPE_DECHET", - title="Nombre de relevés par types de déchets", + title="Nombre de relevés par type de déchets", text="counts", ) - fig2_actions.update_layout(xaxis_title="", yaxis_title="") + + fig2_actions.update_layout( + uniformtext_minsize=8, + yaxis_title=None, + xaxis_title=None, + separators=", ", # Formatte les nombres en français (séparateur décimale, séparateur milliers) + ) + + fig2_actions.update_traces( + texttemplate="%{text:,.0f}", + textfont_size=12, + hovertemplate="Type de déchets : %{label}
%{y} ramassages", + ) + + fig2_actions.update_yaxes(tickfont=dict(size=12)) l3_col1, l3_col2 = st.columns(2) cell4 = l3_col1.container(border=True) @@ -288,11 +329,25 @@ def load_df_events_clean() -> pd.DataFrame: df_milieux_counts_sorted, y="TYPE_MILIEU", x="counts", - title="Nombre de relevés par types de milieux", + title="Nombre de relevés par type de milieux", text="counts", orientation="h", ) - fig3_actions.update_layout(xaxis_title="", yaxis_title="") + + fig3_actions.update_layout( + uniformtext_minsize=8, + yaxis_title=None, + xaxis_title=None, + separators=", ", # Formatte les nombres en français (séparateur décimale, séparateur milliers) + ) + + fig3_actions.update_traces( + texttemplate="%{text:,.0f}", + textfont_size=12, + hovertemplate="Type de milieux : %{label}
%{x} ramassages", + ) + + fig3_actions.update_yaxes(tickfont=dict(size=12)) # préparation du dataframe et figure releves types de lieux 2 df_type_lieu2 = df_other_filtre.copy() @@ -313,11 +368,25 @@ def load_df_events_clean() -> pd.DataFrame: df_type_lieu2_counts_sorted, y="counts", x="TYPE_LIEU2", - title="Nombre de relevés par types de lieu", + title="Nombre de relevés par type de lieu", text="counts", ) - fig4_actions.update_layout(xaxis_title="", yaxis_title="") + + fig4_actions.update_layout( + uniformtext_minsize=8, + yaxis_title=None, + xaxis_title=None, + separators=", ", # Formatte les nombres en français (séparateur décimale, séparateur milliers) + ) + + fig4_actions.update_traces( + texttemplate="%{text:,.0f}", + textfont_size=12, + hovertemplate="Type de lieu : %{label}
%{y} ramassages", + ) + fig4_actions.update_xaxes(tickangle=45) + fig4_actions.update_yaxes(tickfont=dict(size=12)) l4_col1, l4_col2 = st.columns(2) cell6 = l4_col1.container(border=True) @@ -333,7 +402,7 @@ def load_df_events_clean() -> pd.DataFrame: # préparation du dataframe et figure volume + nb collectes volume + nb collectes par mois # Créer une liste ordonnée des noms de mois dans l'ordre souhaité mois_ordre = [ - str.capitalize(format_date(dt, format="MMMM", locale=locale)) + str.capitalize(format_date(dt, format="MMMM", locale=bbl_locale)) for dt in pd.date_range(start="2022-01-01", end="2022-12-01", freq="MS") ] @@ -350,7 +419,21 @@ def load_df_events_clean() -> pd.DataFrame: title="Nombre de relevés par mois", text="counts", ) - fig5_actions.update_layout(xaxis_title="", yaxis_title="") + + fig5_actions.update_layout( + uniformtext_minsize=8, + yaxis_title=None, + xaxis_title=None, + separators=", ", # Formatte les nombres en français (séparateur décimale, séparateur milliers) + ) + + fig5_actions.update_traces( + texttemplate="%{text:,.0f}", + textfont_size=12, + hovertemplate="Mois : %{label}
%{y} ramassages", + ) + + fig5_actions.update_yaxes(tickfont=dict(size=12)) # Utiliser la liste mois_ordre comme étiquettes sur l'axe x fig5_actions.update_xaxes(tickvals=list(range(1, 13)), ticktext=mois_ordre) @@ -404,12 +487,12 @@ def load_df_events_clean() -> pd.DataFrame:
{row.TYPE_EVENEMENT}
-
+
{row.NOM_EVENEMENT}

- {str.capitalize(format_date(row.DATE, format="full", locale=locale))} + {str.capitalize(format_date(row.DATE, format="full", locale=bbl_locale))}

@@ -419,8 +502,11 @@ def load_df_events_clean() -> pd.DataFrame:

""" - iframe = folium.IFrame(html=html, width=300, height=120) - popup = folium.Popup(iframe, parse_html=True, max_width=300) + # Adapte la hauteur du popup par iFrame + iframe_height = 140 if event_envg else 120 + + iframe = folium.IFrame(html=html, width=300, height=iframe_height) + popup = folium.Popup(iframe, parse_html=True) folium.Marker( location=[row.COORD_GPS_Y, row.COORD_GPS_X], @@ -451,7 +537,7 @@ def load_df_events_clean() -> pd.DataFrame: for idx, row in df_events_a_venir.iterrows(): with st.container(border=True): # Bloc contenant la date - date_block = f"
{row.DATE.day}
{str.capitalize(locale.months['format']['wide'][row.DATE.month - 1])}
" + date_block = f"
{row.DATE.day}
{str.capitalize(bbl_locale.months['format']['abbreviated'][row.DATE.month])}
" # Bloc contenant le nom de l'événement event_block = ( f"
{row.NOM_EVENEMENT}
" diff --git a/dashboards/app/pages/hotspots.py b/dashboards/app/pages/hotspots.py index 6c4ae3f..95eac35 100644 --- a/dashboards/app/pages/hotspots.py +++ b/dashboards/app/pages/hotspots.py @@ -432,25 +432,30 @@ def calculate_and_display_metrics(data, indicator_col1, indicator_col2, indicato def couleur_milieu(type): return couleur.get(type, "white") # Returns 'white' if the type is not found + def update_lieu_options(selected_milieu): if selected_milieu and selected_milieu != "Sélectionnez un milieu...": - filtered_data = data_zds[data_zds['TYPE_MILIEU'] == selected_milieu] - return ["Sélectionnez un lieu..."] + list(filtered_data['TYPE_LIEU2'].dropna().unique()) + filtered_data = data_zds[data_zds["TYPE_MILIEU"] == selected_milieu] + return ["Sélectionnez un lieu..."] + list( + filtered_data["TYPE_LIEU2"].dropna().unique() + ) return ["Sélectionnez un lieu..."] + @st.cache_data def process_data(data_zds): # Filtering data to ensure surface area is not zero - data_zds = data_zds[data_zds['SURFACE'] > 0] + data_zds = data_zds[data_zds["SURFACE"] > 0] # Calculating density and filtering out anomalous values - data_zds['DENSITE'] = data_zds['VOLUME_TOTAL'] / data_zds['SURFACE'] - data_zds = data_zds[data_zds['DENSITE'] < 20] + data_zds["DENSITE"] = data_zds["VOLUME_TOTAL"] / data_zds["SURFACE"] + data_zds = data_zds[data_zds["DENSITE"] < 20] # Rounding values for better display - data_zds['DENSITE'] = data_zds['DENSITE'].round(4) - data_zds['SURFACE_ROND'] = data_zds['SURFACE'].round(2) + data_zds["DENSITE"] = data_zds["DENSITE"].round(4) + data_zds["SURFACE_ROND"] = data_zds["SURFACE"].round(2) return data_zds -#Zoom from admin level + +# Zoom from admin level if NIVEAU_ADMIN == "Commune": zoom_admin = 12 elif NIVEAU_ADMIN == "EPCI": @@ -469,14 +474,16 @@ def plot_density_map(data_zds: pd.DataFrame, filtered_data: pd.DataFrame) -> fol else: # Use processed data - processed_data = process_data(filtered_data if not filtered_data.empty else data_zds) + processed_data = process_data( + filtered_data if not filtered_data.empty else data_zds + ) m = folium.Map( location=[ - processed_data['LIEU_COORD_GPS_Y'].mean(), - processed_data['LIEU_COORD_GPS_X'].mean() + processed_data["LIEU_COORD_GPS_Y"].mean(), + processed_data["LIEU_COORD_GPS_X"].mean(), ], - zoom_start=zoom_admin + zoom_start=zoom_admin, ) # Loop over each row in the DataFrame to place markers @@ -491,26 +498,25 @@ def plot_density_map(data_zds: pd.DataFrame, filtered_data: pd.DataFrame) -> fol """ lgd_txt = '{txt}' - color = couleur_milieu(row['TYPE_MILIEU']) + color = couleur_milieu(row["TYPE_MILIEU"]) folium.CircleMarker( - fg = folium.FeatureGroup(name= lgd_txt.format( txt= ['TYPE_MILIEU'], col= color)), - location=[row['LIEU_COORD_GPS_Y'], row['LIEU_COORD_GPS_X']], - radius=np.log(row['DENSITE'] + 1)*15, + fg=folium.FeatureGroup( + name=lgd_txt.format(txt=["TYPE_MILIEU"], col=color) + ), + location=[row["LIEU_COORD_GPS_Y"], row["LIEU_COORD_GPS_X"]], + radius=np.log(row["DENSITE"] + 1) * 15, popup=folium.Popup(popup_html, max_width=300), color=color, fill=True, - ).add_to(m) folium_static(m) return m + # Function for 'milieu' density table -def density_table_milieu( - data_zds: pd.DataFrame, - filtered_data: pd.DataFrame -): +def density_table_milieu(data_zds: pd.DataFrame, filtered_data: pd.DataFrame): if data_zds.empty: st.write("Aucune donnée disponible pour la région sélectionnée.") @@ -554,10 +560,7 @@ def density_table_milieu( ) -def density_table_lieu( - data_zds: pd.DataFrame, - filtered_data: pd.DataFrame -): +def density_table_lieu(data_zds: pd.DataFrame, filtered_data: pd.DataFrame): if data_zds.empty: st.write("Aucune donnée disponible pour la région sélectionnée.") @@ -766,55 +769,74 @@ def create_contributors_table(data_zds: pd.DataFrame, multi_filter_dict: dict) - # Add a default "Select a milieu..." option selected_milieu = st.selectbox( "Sélectionnez un milieu:", - ["Sélectionnez un milieu..."] + list(pd.unique(data_zds_correct['TYPE_MILIEU'])) + ["Sélectionnez un milieu..."] + + list(pd.unique(data_zds_correct["TYPE_MILIEU"])), ) with right_column: # Update lieu options based on selected milieu lieu_options = update_lieu_options(selected_milieu) selected_lieu = st.selectbox("Sélectionnez un lieu:", lieu_options) - # Place the map centrally by using a wider column for the map and narrower ones on the sides col1, map_col, col3 = st.columns([4, 10, 1]) # Adjust column ratios as needed with map_col: st.markdown("### Carte des Densités") - if selected_milieu != "Sélectionnez un milieu..." and selected_lieu != "Sélectionnez un lieu...": - filtered_data = data_zds_correct[(data_zds_correct['TYPE_MILIEU'] == selected_milieu) & (data_zds_correct['TYPE_LIEU2'] == selected_lieu)] + if ( + selected_milieu != "Sélectionnez un milieu..." + and selected_lieu != "Sélectionnez un lieu..." + ): + filtered_data = data_zds_correct[ + (data_zds_correct["TYPE_MILIEU"] == selected_milieu) + & (data_zds_correct["TYPE_LIEU2"] == selected_lieu) + ] plot_density_map(data_zds_correct, filtered_data) else: - plot_density_map(data_zds_correct, data_zds_correct) # Show all data by default - + plot_density_map( + data_zds_correct, data_zds_correct + ) # Show all data by default col1, col2, col3 = st.columns([3, 3, 2]) with col1: st.markdown("#### Tableau des Densités par Milieu") - if selected_milieu != "Sélectionnez un milieu..." and selected_lieu != "Sélectionnez un lieu...": - filtered_data = data_zds_correct[(data_zds_correct['TYPE_MILIEU'] == selected_milieu) & (data_zds_correct['TYPE_LIEU2'] == selected_lieu)] + if ( + selected_milieu != "Sélectionnez un milieu..." + and selected_lieu != "Sélectionnez un lieu..." + ): + filtered_data = data_zds_correct[ + (data_zds_correct["TYPE_MILIEU"] == selected_milieu) + & (data_zds_correct["TYPE_LIEU2"] == selected_lieu) + ] density_table_milieu(data_zds_correct, filtered_data) else: density_table_milieu(data_zds_correct, data_zds_correct) with col2: st.markdown("#### Tableau des Densités par Lieu") - if selected_milieu != "Sélectionnez un milieu..." and selected_lieu != "Sélectionnez un lieu...": - filtered_data = data_zds_correct[(data_zds_correct['TYPE_MILIEU'] == selected_milieu) & (data_zds_correct['TYPE_LIEU2'] == selected_lieu)] + if ( + selected_milieu != "Sélectionnez un milieu..." + and selected_lieu != "Sélectionnez un lieu..." + ): + filtered_data = data_zds_correct[ + (data_zds_correct["TYPE_MILIEU"] == selected_milieu) + & (data_zds_correct["TYPE_LIEU2"] == selected_lieu) + ] density_table_lieu(data_zds_correct, filtered_data) else: density_table_lieu(data_zds_correct, data_zds_correct) with col3: - with st.expander("###### Notice ℹ️", expanded=True): - st.write( - """ + with st.expander("###### Notice ℹ️", expanded=True): + st.write( + """ **Milieu** désigne de grands types d'environnements comme le Littoral, les Cours d'eau ou la Montagne.\n Chaque Milieu est ensuite divisé en **Lieux** plus spécifiques. Par exemple, sous le Milieu Littoral, on trouve des Lieux comme les Plages, les Roches, les Digues, ou les Parkings. """ - ) + ) with tab2: # Use the selected filters diff --git a/dashboards/app/requirements.txt b/dashboards/app/requirements.txt index 54ac0f9..b1aa314 100644 --- a/dashboards/app/requirements.txt +++ b/dashboards/app/requirements.txt @@ -7,7 +7,6 @@ streamlit==1.32.2 openpyxl==3.1.2 streamlit-folium==0.19.1 plotly==5.19.0 -streamlit-dynamic-filters==0.1.6 streamlit-authenticator==0.3.2 st-pages==0.4.5 babel==2.11.0 diff --git a/poetry.lock b/poetry.lock index 254c136..616dacc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -45,24 +45,44 @@ tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"] tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"] [[package]] -name = "attrs" -version = "23.2.0" -description = "Classes Without Boilerplate" -category = "main" +name = "bcrypt" +version = "4.1.3" +description = "Modern password hashing for your software and your servers" optional = false python-versions = ">=3.7" files = [ - 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b/pyproject.toml @@ -16,15 +16,14 @@ python = "^3.10" # pandas = "^1.1.1" # jupyter = "^1.0.0" # ipykernel = "^5.3.4" -pandas = "^2.2.1" -dash = "^2.16.1" -duckdb = "^0.10.1" +pandas = "2.0.3" +duckdb = "0.10.0" geopandas = "^0.14.3" folium = "^0.16.0" -folium = "^0.16.0" streamlit = "^1.32.2" plotly-express = "^0.4.1" -streamlit-dynamic-filters = "^0.1.6" +streamlit-authenticator = "^0.3.2" +st-pages = "^0.4.5" [tool.poetry.group.dev.dependencies] pre-commit = "^2.20.0"