From 8040ab5fef994f35e8b0a102b9f02ac6c0cf183d Mon Sep 17 00:00:00 2001 From: Conrads Date: Mon, 2 Feb 2026 12:50:49 +0100 Subject: [PATCH] =?UTF-8?q?Visualisierung=20ge=C3=A4ndert=20auf=20Src=5FDe?= =?UTF-8?q?partment=20>=20Dest=5FDepartment?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- app/easyvisualize.py | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/app/easyvisualize.py b/app/easyvisualize.py index 4a16980..9597143 100644 --- a/app/easyvisualize.py +++ b/app/easyvisualize.py @@ -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']