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Visualisierung geändert auf Src_Department > Dest_Department

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Frank Conrads
2026-02-02 12:50:49 +01:00
parent 12926c7e83
commit 8040ab5fef
1 changed files with 4 additions and 7 deletions
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11
app/easyvisualize.py
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@@ -1,5 +1,5 @@
import pandas as pd
import plotly.graph_objects as go
import plotly.pigraph_objects as go
import sys
import os
@@ -36,19 +36,16 @@ except Exception as e:
# --- DATEN AGGREGIEREN ---
# Wir zählen die Kommunikationspfade zwischen den Abteilungen
''' df_agg = df.groupby(['source_department', 'destination_department']).size().reset_index(name='weight') '''
df_agg = df.groupby(['source_department', 'destination_displayname']).size().reset_index(name='weight')
df_agg = df.groupby(['source_department', 'destination_department']).size().reset_index(name='weight')
# Liste aller Departments für die Knoten-Beschriftung
''' all_nodes = list(pd.concat([df_agg['source_department'], df_agg['destination_department']]).unique()) '''
all_nodes = list(pd.concat([df_agg['source_department'], df_agg['destination_displayname']]).unique())
all_nodes = list(pd.concat([df_agg['source_department'], df_agg['destination_department']]).unique())
node_map = {name: i for i, name in enumerate(all_nodes)}
# Mapping auf Indizes
source_indices = df_agg['source_department'].map(node_map)
target_indices = df_agg['destination_displayname'].map(node_map)
''' target_indices = df_agg['destination_department'].map(node_map) '''
target_indices = df_agg['destination_department'].map(node_map)
weights = df_agg['weight']