From 24c55c68b782a140bfe36bccdd4696b3de6071cb Mon Sep 17 00:00:00 2001
From: Philipp Horstenkamp <philipp@horstenkamp.de>
Date: Sun, 12 Nov 2023 13:58:00 +0100
Subject: [PATCH] Removed docstring ruins. (#367)

---
 .../utils/mongo/company_mongo_service.py         |  2 +-
 .../utils/networkx/network_2d.py                 | 16 ++++++++--------
 .../utils/networkx/network_3d.py                 |  2 +-
 .../utils/networkx/networkx_data.py              |  4 ++--
 4 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py b/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py
index 51c1309..b79b164 100644
--- a/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py
+++ b/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py
@@ -143,7 +143,7 @@ class CompanyMongoService:
             company (Company): _description_
 
         Returns:
-            _type_: _description_
+            _description_
         """
         with self.lock:
             return self.collection.insert_one(company.to_dict())
diff --git a/src/aki_prj23_transparenzregister/utils/networkx/network_2d.py b/src/aki_prj23_transparenzregister/utils/networkx/network_2d.py
index ada0528..0f0843a 100644
--- a/src/aki_prj23_transparenzregister/utils/networkx/network_2d.py
+++ b/src/aki_prj23_transparenzregister/utils/networkx/network_2d.py
@@ -18,17 +18,17 @@ def create_2d_graph(  # noqa PLR0913
     """This Method creates a 2d Network in Plotly with a Scatter Graph and retuns it.
 
     Args:
-        graph (_type_): NetworkX Graph.
-        nodes (_type_): List of Nodes
-        edges (_type_): List of Edges
-        metrics (_type_): DataFrame with the MEtrics
-        metric (_type_): Selected Metric
+        graph: NetworkX Graph.
+        nodes: List of Nodes
+        edges: List of Edges
+        metrics: DataFrame with the Metrics
+        metric: Selected Metric
         edge_annotation: Enables the Description of Edges
         edge_thickness: Int Value of the Edge thickness
         layout: String which defines the Graph Layout
 
     Returns:
-        _type_: Plotly Figure
+        Plotly Figure
     """
     # Set 2D Layout
     pos = nx.spring_layout(graph)
@@ -87,7 +87,7 @@ def create_2d_graph(  # noqa PLR0913
         hoverinfo="none",
         mode="lines",
     )
-    # Add the Edgedescriptiontext to the scatter plot according to its Position.
+    # Add the Edge description text to the scatter plot according to its Position.
     edge_weights_trace = go.Scatter(
         x=edge_weight_x,
         y=edge_weight_y,
@@ -144,7 +144,7 @@ def create_2d_graph(  # noqa PLR0913
     node_trace.marker.color = colors
     node_trace.text = node_names
 
-    # Highlight the Node Size in regards to the selected Metric.
+    # Highlight the Node Size with regard to the selected Metric.
     if metric != "None":
         node_trace.marker.size = list(np.sqrt(metrics[metric]) * 200)
 
diff --git a/src/aki_prj23_transparenzregister/utils/networkx/network_3d.py b/src/aki_prj23_transparenzregister/utils/networkx/network_3d.py
index ce984a6..f86962f 100644
--- a/src/aki_prj23_transparenzregister/utils/networkx/network_3d.py
+++ b/src/aki_prj23_transparenzregister/utils/networkx/network_3d.py
@@ -25,7 +25,7 @@ def create_3d_graph(  # noqa : PLR0913
         metric: Selected Metric
 
     Returns:
-        _type_: Plotly Figure
+        Plotly Figure
     """
     # 3d spring layout
     pos = nx.spring_layout(graph, dim=3)
diff --git a/src/aki_prj23_transparenzregister/utils/networkx/networkx_data.py b/src/aki_prj23_transparenzregister/utils/networkx/networkx_data.py
index dba0356..4d20789 100644
--- a/src/aki_prj23_transparenzregister/utils/networkx/networkx_data.py
+++ b/src/aki_prj23_transparenzregister/utils/networkx/networkx_data.py
@@ -173,7 +173,7 @@ def create_edge_and_node_list(
         company_relations (pd.DataFrame): _description_
 
     Returns:
-        _type_: _description_
+        _description_
     """
     nodes: dict = {}
     edges: list = []
@@ -296,7 +296,7 @@ def create_edge_and_node_list_for_company(
         company_relations (pd.DataFrame): _description_
 
     Returns:
-        _type_: _description_
+        _description_
     """
     nodes: dict = {}
     edges: list = []