Removed docstring ruins. (#367)

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Philipp Horstenkamp 2023-11-12 13:58:00 +01:00 committed by GitHub
parent 3b2f9b98f2
commit 24c55c68b7
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4 changed files with 12 additions and 12 deletions

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@ -143,7 +143,7 @@ class CompanyMongoService:
company (Company): _description_
Returns:
_type_: _description_
_description_
"""
with self.lock:
return self.collection.insert_one(company.to_dict())

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@ -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)

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@ -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)

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@ -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 = []