Tentative d'angles ronds pour les data tables

src/assets/css/style.css

@@ -170,6 +170,12 @@ p.version > a {
 }
 
 /* Dash Table Overrides */
+table.cell-table,
+table.cell-table tr {
+  border-color: #fff;
+  padding: 0;
+}
+
 .dash-table-container p {
   margin-bottom: 0;
 }
@@ -178,11 +184,24 @@ p.version > a {
   .dash-spreadsheet-container
   .dash-spreadsheet-inner
   th.dash-header {
-  background-color: #b33821;
+  margin: 0;
   color: white;
   font-family: "Inter", sans-serif;
   text-align: left;
   font-weight: 500;
+  padding-right: 12px;
+  border-color: rgb(179, 56, 33) !important;
+  background-color: rgb(179, 56, 33);
+  border-style: solid;
+  border-width: 1px;
+}
+
+table.cell-table tr:first-of-type th:first-of-type {
+  border-top-left-radius: 3px;
+}
+
+table.cell-table tr:first-of-type th:last-of-type {
+  border-top-right-radius: 3px;
 }
 
 .dash-table-container .dash-spreadsheet-container .dash-spreadsheet-inner td {

src/figures.py

@@ -91,13 +91,21 @@ def get_yearly_statistics(statistics, today_str) -> html.Div:
         page_size=10,
         sort_action="none",
         filter_action="none",
+        style_cell={
+            "border": "solid 1px rgb(179, 56, 33)",
+        },
+        style_header={
+            "border": "solid 1px rgb(179, 56, 33)",
+            "backgroundColor": "rgb(179, 56, 33)",
+            "color": "white",
+        },
     )
 
     return html.Div(children=table, className="marches_table")
 
 
-def get_barchart_sources(df: pl.DataFrame, type_date: str):
+def get_barchart_sources(df_source: pl.DataFrame, type_date: str):
-    lf = df.lazy()
+    lf = df_source.lazy()
     labels = {
         "dateNotification": "notification",
         "datePublicationDonnees": "publication des données",
@@ -182,6 +190,7 @@ def get_sources_tables(source_path) -> html.Div:
 
     datatable = dash_table.DataTable(
         id="source_table",
+        data=df.to_dicts(),
         columns=[
             {
                 "name": columns[i],
@@ -204,8 +213,15 @@ def get_sources_tables(source_path) -> html.Div:
         ],
         sort_action="native",
         markdown_options={"html": True},
+        style_cell={
+            "border": "solid 1px rgb(179, 56, 33)",
+        },
+        style_header={
+            "border": "solid 1px rgb(179, 56, 33)",
+            "backgroundColor": "rgb(179, 56, 33)",
+            "color": "white",
+        },
     )
-    datatable.data = df.to_dicts()
 
     return html.Div(children=datatable)
 
@@ -247,9 +263,9 @@ class DataTable(dash_table.DataTable):
     def __init__(
         self,
         dtid: str,
-        hidden_columns: list = None,
+        hidden_columns: list[str] | None = None,
-        data=None,
+        data: list[dict[str, str | int | float | bool]] | None = None,
-        columns: list = None,
+        columns: list[dict[str, str]] | None = None,
         page_size: int = 20,
         page_action: Literal["native", "custom", "none"] = "native",
         sort_action: Literal["native", "custom", "none"] = "native",
@@ -306,6 +322,14 @@ class DataTable(dash_table.DataTable):
             row_deletable=False,
             page_current=0,
             style_cell_conditional=style_cell_conditional,
+            style_header={
+                "border": "solid 1px rgb(179, 56, 33)",
+                "backgroundColor": "rgb(179, 56, 33)",
+                "color": "white",
+            },
+            style_table={
+                "border": "solid 0 white",
+            },
             data_timestamp=0,
             markdown_options={"html": True},
             tooltip_duration=8000,

src/pages/statistiques.py

@@ -48,7 +48,6 @@ layout = [
 
                             Les statistiques publiées sur cette page ont été produites automatiquement à partir des données les plus récentes ({today_str}).
                             """),
-                            dcc.Graph(figure=get_map_count_marches(df)),
                             html.H3(
                                 "Statistiques générales sur les marchés",
                                 id="marches",
@@ -66,6 +65,7 @@ layout = [
                                                         """),
                             html.H4("Statistiques par année"),
                             get_yearly_statistics(statistics, today_str),
+                            dcc.Graph(figure=get_map_count_marches(df)),
                             get_duplicate_matrix(),
                             html.H3("Nombre de marchés par source dans le temps"),
                             dcc.Graph(