Branchement nouvelle bdd

dashboard/components/navbar.py

@@ -4,7 +4,7 @@
 from dash import dcc
 from dash import html
 import dash_bootstrap_components as dbc
-from utils import t1b1_df, isCurrentTab, Pages, component_ids, state_to_url
+from utils import dataviz_df, isCurrentTab, Pages, component_ids, state_to_url
 
 
 def select_company_component(currentTab, state):
@@ -37,7 +37,7 @@ def select_company_component(currentTab, state):
                 options=[{
                     'label': i,
                     'value': i
-                } for i in t1b1_df['company_name']],
+                } for i in dataviz_df['company_name']],
                 #value='Andros'
                 multi=isCurrentTab(currentTab, Pages.COMPARE),
                 searchable=True,

dashboard/layout/pages/action_suivi.py

@@ -1,5 +1,5 @@
 from dash import html
-from utils import card_style, t1b3_df
+from utils import card_style, dataviz_df
 
 from layout.pages.action_suivi_global import action_suivi_global
 from layout.pages.action_suivi_actuel import action_suivi_actuel

dashboard/layout/pages/action_suivi_actuel.py

@@ -4,7 +4,7 @@
 import dash_daq as daq
 
 from utils import card_style
-from utils import t1b2_df
+from utils import dataviz_df
 
 import plotly.graph_objects as go
 import plotly.figure_factory as ff
@@ -100,7 +100,7 @@ def build_bullet_gauge(engagement, accomplishment, color_accomplishment):
 
 
 def top_left(selected_company):
-    df = get_filtered_data(t1b2_df, selected_company)
+    df = get_filtered_data(dataviz_df, selected_company)
     value = get_data(df, 'direct_score_short_label')
     color = get_data(df, 'direct_score_hexa_color_code')
     pic = 'assets/frames/Picto_usine.png'
@@ -128,7 +128,7 @@ def generate_topleft_item(selected_company):
 
 
 def top_right(selected_company):
-    df = get_filtered_data(t1b2_df, selected_company)
+    df = get_filtered_data(dataviz_df, selected_company)
     value = get_data(df, 'complete_score_short_label')
     color = get_data(df, 'complete_score_hexa_color_code')
     pic = 'assets/frames/Picto_lifecycle.png'
@@ -156,7 +156,7 @@ def generate_topright_item(selected_company):
 
 
 def bottom_left(selected_company):
-    df = get_filtered_data(t1b2_df, selected_company)
+    df = get_filtered_data(dataviz_df, selected_company)
     values = []
     col_list = ['c1_final_value', 'c1_2_deg_final', 'c1_1_8_deg_final', 'c1_1_5_deg_final']
 
@@ -219,7 +219,7 @@ def generate_bottomleft_item(selected_company):
 
 
 def bottom_right(selected_company):
-    df = get_filtered_data(t1b2_df, selected_company)
+    df = get_filtered_data(dataviz_df, selected_company)
     values = []
     col_list = ['c2_final_value', 'c2_2_deg_final', 'c2_1_8_deg_final', 'c2_1_5_deg_final']
 

dashboard/layout/pages/action_suivi_global.py

@@ -1,5 +1,5 @@
 from dash import html
-from utils import card_style, t1b3_df
+from utils import card_style, dataviz_df
 
 
 def get_company_global_information(df_companies_global_information, selected_company):
@@ -21,7 +21,7 @@ def get_company_global_information(df_companies_global_information, selected_com
 
 
 def action_suivi_global(selected_company):
-    company_global_information = get_company_global_information(t1b3_df, selected_company)
+    company_global_information = get_company_global_information(dataviz_df, selected_company)
     return html.Div(
         children=[
             html.Div([

dashboard/layout/pages/details.py

@@ -1,9 +1,8 @@
 # from turtle import back
 # import pandas as pd
 from dash import dcc, html
-from utils import t1b6_df
+from utils import dataviz_df
 import plotly.express as px
-# import plotly.graph_objs as go
 
 
 def get_company_details(df, selected_company):
@@ -20,7 +19,7 @@ def get_company_details(df, selected_company):
 
 # Generate bar chart
 def details(selected_company):
-    df, amount, name, hover = get_company_details(t1b6_df, selected_company)
+    df, amount, name, hover = get_company_details(dataviz_df, selected_company)
     fig = px.bar(
         data_frame = df,
         x=[1, 1, 1, 1, 1, 1],

dashboard/layout/pages/engagements.py

@@ -1,27 +1,27 @@
 from dash import html
 import dash_daq as daq
-from utils import card_style, t1b5_df
+from utils import card_style, dataviz_df
 
 
 def engagements(selected_company):
     return html.Div(children=[
         html.Div('Ses engagements', className="h5"),
-        html.Div(t1b5_df[t1b5_df['company_name'] == selected_company]['direct_commitments_sentence'],
+        html.Div(dataviz_df[dataviz_df['company_name'] == selected_company]['direct_commitments_sentence'],
                  className="fst-italic"),
         html.Div([
-            daq.Indicator(color=t1b5_df[t1b5_df['company_name'] == selected_company]['direct_ambition_hexa_color_code'],
+            daq.Indicator(color=dataviz_df[dataviz_df['company_name'] == selected_company]['direct_ambition_hexa_color_code'],
                           value=True),
-            html.Div(t1b5_df[t1b5_df['company_name'] == selected_company]['direct_ambition_long_label'],
+            html.Div(dataviz_df[dataviz_df['company_name'] == selected_company]['direct_ambition_long_label'],
                      className="text-muted"),
         ],
                  className="d-flex align-items-center gap-2 mt-2 mb-3"),
-        html.Div(t1b5_df[t1b5_df['company_name'] == selected_company]['complete_commitments_sentence'],
+        html.Div(dataviz_df[dataviz_df['company_name'] == selected_company]['complete_commitments_sentence'],
                  className="fst-italic"),
         html.Div([
             daq.Indicator(
-                color=t1b5_df[t1b5_df['company_name'] == selected_company]['complete_ambition_hexa_color_code'],
+                color=dataviz_df[dataviz_df['company_name'] == selected_company]['complete_ambition_hexa_color_code'],
                 value=True),
-            html.Div(t1b5_df[t1b5_df['company_name'] == selected_company]['complete_ambition_long_label'],
+            html.Div(dataviz_df[dataviz_df['company_name'] == selected_company]['complete_ambition_long_label'],
                      className="text-muted"),
         ],
                  className="d-flex align-items-center gap-2 mt-2"),

dashboard/layout/pages/infos.py

@@ -1,37 +1,37 @@
 # Libraries import
 
 from dash import html
-from utils import card_style, t1b7_df
+from utils import card_style, dataviz_df
 import flag
 import ast
 
 # Bloc title
 
 
 def infos(selected_company):
-    top_brands = ast.literal_eval(t1b7_df[t1b7_df['company_name'] == selected_company]['top_brands'].values[0])
+    top_brands = ast.literal_eval(dataviz_df[dataviz_df['company_name'] == selected_company]['top_brands'].values[0])
 
     return html.Div(
         children=[
             html.Div([
                 html.Div([
-                    html.Img(src=t1b7_df[t1b7_df['company_name'] == selected_company]['brand_logo'].values[0],
+                    html.Img(src=dataviz_df[dataviz_df['company_name'] == selected_company]['brand_logo'].values[0],
                              className="w-100 img-thumbnail"),
                 ],
                          className="col",
                          style={"maxWidth": "110px"}),
                 html.Div([
                     html.Div(selected_company + " " +
-                             flag.flag(t1b7_df[t1b7_df['company_name'] == selected_company]['country_flag'].values[0]),
+                             flag.flag(dataviz_df[dataviz_df['company_name'] == selected_company]['country_flag'].values[0]),
                              className="h3"),
-                    #html.Div('Sector: ' + t1b7_df[t1b7_df['company_name'] == selected_company]['sector'].values[0], #English version
-                    html.Div('Secteur : ' + t1b7_df[t1b7_df['company_name'] == selected_company]['sector'].values[0], #French version
+                    #html.Div('Sector: ' + dataviz_df[dataviz_df['company_name'] == selected_company]['sector'].values[0], #English version
+                    html.Div('Secteur : ' + dataviz_df[dataviz_df['company_name'] == selected_company]['sector'].values[0], #French version
                              className="text-muted text-nowrap"),
                     html.Div([
-                        #'Revenue: ' + t1b7_df[t1b7_df['company_name'] == selected_company]['revenue'].values[0].round( #English version
-                        'C.A : ' + t1b7_df[t1b7_df['company_name'] == selected_company]['revenue'].values[0].round( #French version
+                        #'Revenue: ' + dataviz_df[dataviz_df['company_name'] == selected_company]['revenue'].values[0].round( #English version
+                        'C.A : ' + dataviz_df[dataviz_df['company_name'] == selected_company]['revenue'].values[0].round( #French version
                             decimals=1).astype(str) + ' B (' +
-                        t1b7_df[t1b7_df['company_name'] == selected_company]['revenue_year'].values[0].astype(str) + ')'
+                        dataviz_df[dataviz_df['company_name'] == selected_company]['revenue_year'].values[0].astype(str) + ')'
                     ],
                              className="text-muted text-nowrap")
                 ],
@@ -40,8 +40,8 @@ def infos(selected_company):
                      className="row"),
             #html.Div('Main brands:', className="h5 mt-3"), #English version
             html.Div('Principales marques :', className="h5 mt-3"), #French version
-            #dash_table.DataTable({'test' : t1b7_df[t1b7_df['company_name']==selected_company]['top_brands'].values[0]})
-            #html.Code(tabulate(t1b7_df[t1b7_df['company_name']==selected_company]['top_brands'].values[0], tablefmt='html'))
+            #dash_table.DataTable({'test' : dataviz_df[dataviz_df['company_name']==selected_company]['top_brands'].values[0]})
+            #html.Code(tabulate(dataviz_df[dataviz_df['company_name']==selected_company]['top_brands'].values[0], tablefmt='html'))
             html.Ul(
                 [html.Li(i, className="list-group-item") for i in top_brands],
                 className="list-group p-0",

dashboard/layout/pages/reduction_rate.py

@@ -2,7 +2,7 @@
 import dash_bootstrap_components as dbc
 import plotly.graph_objects as go
 
-from utils import t2b2_df, card_style
+from utils import dataviz_df, card_style
 
 
 def get_filtered_data(df, selected_companies):
@@ -62,7 +62,7 @@ def build_lollipop_chart(accomplishment, color_accomplishment, companies_names,
 
 
 def chart_left(selected_companies):
-    df = get_filtered_data(t2b2_df, selected_companies)
+    df = get_filtered_data(dataviz_df, selected_companies)
     df = df.sort_values(by='direct_level').reset_index(drop=True)
     accomplishment = get_data(df, 'direct_level')
     color_accomplishment = get_data(df, 'direct_score_hexa_color_code')
@@ -72,7 +72,7 @@ def chart_left(selected_companies):
 
 
 def chart_right(selected_companies):
-    df = get_filtered_data(t2b2_df, selected_companies)
+    df = get_filtered_data(dataviz_df, selected_companies)
     df = df.sort_values(by='complete_level').reset_index(drop=True)
     accomplishment = get_data(df, 'complete_level')
     color_accomplishment = get_data(df, 'complete_score_hexa_color_code')

dashboard/layout/pages/sector_compare.py

@@ -1,7 +1,7 @@
 from dash import html
-from utils import t1b4_df, card_style
+from utils import dataviz_df, card_style
 
-df_t1b4 = t1b4_df
+df_t1b4 = dataviz_df
 
 printable_columns = [
     'company_name', 'global_score_logo_path', 'direct_score_short_label', 'complete_score_short_label',

dashboard/utils.py

@@ -45,11 +45,13 @@ def state_to_url(*state):
     return f'?{state}'
 
 
-t1b1_df = pd.read_csv('data/t1b1.csv')
-t1b2_df = pd.read_csv('data/t1b2.csv')
-t1b3_df = pd.read_csv('data/t1b3.csv')
-t1b4_df = pd.read_csv('data/t1b4.csv')
-t1b5_df = pd.read_csv('data/t1b5.csv')
-t1b6_df = pd.read_csv('data/t1b6.csv', sep=';')
-t1b7_df = pd.read_csv('data/t1b1-7.csv')
-t2b2_df = pd.read_csv('data/t2b2.csv')
+# t1b1_df = pd.read_csv('data/t1b1.csv')
+# t1b2_df = pd.read_csv('data/t1b2.csv')
+# t1b3_df = pd.read_csv('data/t1b3.csv')
+# t1b4_df = pd.read_csv('data/t1b4.csv')
+# t1b5_df = pd.read_csv('data/t1b5.csv')
+# t1b6_df = pd.read_csv('data/t1b6.csv', sep=';')
+# t1b7_df = pd.read_csv('data/t1b1-7.csv')
+# t2b2_df = pd.read_csv('data/t2b2.csv')
+
+dataviz_df = pd.read_excel('data/BDD_for_dataviz.xlsx', sheet_name='Sheet1')