Removed dead docstrings

Jupyter/NetworkX/archive_prod/networkx_dash.py

@@ -11,14 +11,7 @@ test_company = 13  # 2213 # 13
 
 
 def find_company_relations(company_id: int) -> pd.DataFrame:
-    """_summary_.
-
-    Args:
-        company_id (int): _description_
-
-    Returns:
-        pd.DataFrame: _description_
-    """
+    """_summary_."""
     session = connector.get_session(JsonFileConfigProvider("./secrets.json"))
     query_companies = session.query(entities.Company)
     query_relations = session.query(entities.CompanyRelation)
@@ -54,14 +47,7 @@ def find_company_relations(company_id: int) -> pd.DataFrame:
 
 # Plotly figure
 def network_graph(company_id: int) -> go.Figure:
-    """_summary_.
-
-    Args:
-        company_id (int): _description_
-
-    Returns:
-        go.Figure: _description_
-    """
+    """_summary_."""
     edges = []
     for _, row in find_company_relations(company_id).iterrows():
         edges.append([row["company_name"], row["connected_company_name"]])
@@ -136,14 +122,7 @@ def network_graph(company_id: int) -> go.Figure:
 
 
 def networkx_component(company_id: int) -> html.Div:
-    """Retruns the Layout with a Graph.
-
-    Args:
-        company_id (int): _description_
-
-    Returns:
-        any: _description_
-    """
+    """Returns the Layout with a Graph."""
     return html.Div(
         [
             dcc.Graph(id="my-graph", figure=network_graph(company_id)),

Jupyter/NetworkX/archive_prod/networkx_dash_overall.py

@@ -11,11 +11,7 @@ test_company = 13  # 2213 # 13
 
 
 def find_all_company_relations() -> pd.DataFrame:
-    """Searches for all companies and their relation in the DB.
-
-    Returns:
-        pd.DataFrame: _description_
-    """
+    """Searches for all companies and their relation in the DB."""
     session = connector.get_session(JsonFileConfigProvider("./secrets.json"))
     query_companies = session.query(entities.Company)  # .all()
     query_relations = session.query(entities.CompanyRelation)  # .all()
@@ -57,11 +53,7 @@ def find_all_company_relations() -> pd.DataFrame:
 
 # Plotly figure
 def create_network_graph() -> go.Figure:
-    """Create a NetworkX Graph.
-
-    Returns:
-        go.Figure: _description_
-    """
+    """Create a NetworkX Graph."""
     edges = []
     for _, row in find_all_company_relations().iterrows():
         edges.append([row["company_name"], row["connected_company_name"]])