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aki_prj23_transparenzregister/Jupyter/NetworkX/archive/Dev.ipynb
2023-11-10 18:56:51 +01:00

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In [38]:
from aki_prj23_transparenzregister.utils.sql import connector, entities
from aki_prj23_transparenzregister.config.config_providers import JsonFileConfigProvider
import pandas as pd
In [39]:
session = connector.get_session(JsonFileConfigProvider("../../../../secrets.json"))
query_companies = session.query(entities.Company)  # .all()
query_relations = session.query(entities.CompanyRelation)  # .all()

companies_df: pd.DataFrame = pd.read_sql(str(query_companies), session.bind)  # type: ignore
companies_relations_df: pd.DataFrame = pd.read_sql(str(query_relations), session.bind)  # type: ignore
In [40]:
companies_df
Out[40]:
<style scoped=""> .dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } </style>
company_id company_hr company_court_id company_name company_company_type company_founding_date company_business_purpose company_street company_house_number company_zip_code company_city company_longitude company_latitude company_pos_accuracy company_capital_value company_original_currency company_capital_type company_last_update company_sector
0 1 HRB 148048 1 0 10 24 Telefondienste GmbH GMBH 2000-09-18 Gegenstand des Unternehmens ist die Entwicklun... Deelbögenkamp 4 22297 Hamburg 10.017700 53.602620 4.0 25000.0 EURO STAMMKAPITAL 2020-05-11 None
1 2 HRA 301114 2 1. Staiger Grundstücksverwaltung GmbH & Co. KG KG 2003-07-03 None Johannes-Bieg-Straße 8 74391 Erligheim 9.097200 49.022500 4.0 200000.0 EURO HAFTEINLAGE 2020-05-04 None
2 3 HRA 720015 3 1 A Autenrieth Kunststofftechnik GmbH & Co. KG KG None None Gewerbestraße 8 72535 Heroldstatt 9.664233 48.445633 4.0 146000.0 EURO HAFTEINLAGE 2016-08-23 None
3 4 HRB 97262 1 01050.com GmbH GMBH 2006-03-02 die Entwicklung und Bereitstellung von Dienstl... Deelbögenkamp 4 22297 Hamburg 10.017700 53.602620 4.0 25000.0 EURO STAMMKAPITAL 2020-05-13 None
4 5 HRA 17617 4 2. Schaper Objekt GmbH & Co. Kiel KG KG None None Metro-Straße 2 40235 Düsseldorf 6.821600 51.230100 4.0 500.0 EURO HAFTEINLAGE 2021-05-27 None
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
3142 3143 HRB 13874 58 WINGAS Holding GmbH GMBH 2005-01-18 Die Beteiligung an Unternehmen, die den Einkau... Königstor 20 34117 Kassel 9.491200 51.316600 4.0 25200.0 EURO STAMMKAPITAL 2023-03-28 None
3143 3144 HRB 71591 4 WohnServicePlus GmbH GMBH 2013-11-27 Die Erbringung von Servicedienstleistungen run... Flughafenstraße 99 40474 Düsseldorf 6.748000 51.269600 4.0 25000.0 EURO STAMMKAPITAL 2022-03-29 None
3144 3145 HRB 5297 102 Wohnungsbaugesellschaft mit beschränkter Haftu... GMBH 1989-07-04 Die Gesellschaft errichtet, bewirtschaftet, be... Taubenstraße 47 47443 Moers 6.667900 51.454200 4.0 6168500.0 EURO STAMMKAPITAL 2022-02-16 None
3145 3146 HRA 48546 B 12 Zalando Customer Care International SE & Co. KG KG 2013-08-16 None Mühlenstraße 15 10243 Berlin 13.439400 52.512300 6.0 100.0 EURO HAFTEINLAGE 2021-11-26 None
3146 3147 HRB 382018 9 zebotec GmbH GMBH 2002-04-03 ist Consulting und Dienstleistungen im Bereich... August-Borsig-Straße 11 78467 Konstanz 9.164900 47.674400 4.0 25000.0 EURO STAMMKAPITAL 2021-12-15 None

3146 rows × 19 columns

In [41]:
def to_dict(data: object):
    return data.__dict__
In [42]:
def get_data():
    nodes = {}
    edges = []
    network_data = []
    edge_template = {
        "from": {
            "name": "Hans Wurst",
            "type": "Person",
        },
        "to": {"name": "Atos :D", "type": "Company"},
        "type": "Vorstand",
    }
    node_template = {
        "id": "(company|person)_\d",
        "label": "Name from entries",
        "type": "Company|Person",
        "shape": "dot",
        "color": "#729b79ff",
        # TODO add title for hover effect in graph "title": ""
    }
    data = session.query(entities.Relation).all()
    for entry in data[:1000]:
        company = (
            session.query(entities.Company)
            .filter(entities.Company.id == entry.company_id)
            .first()
        )
        if ("company_" + str(company.id)) not in nodes:
            nodes["company_" + str(company.id)] = {
                "label": company.name,
                "type": "Company",
                "shape": "dot",
                "color": "#729b79ff",
            }
        person_relations = (
            session.query(entities.PersonRelation)
            .filter(entities.PersonRelation.id == entry.id)
            .all()
        )
        for relation in person_relations:
            person = (
                session.query(entities.Person)
                .filter(entities.Person.id == relation.person_id)
                .first()
            )
            if ("person_" + str(person.id)) not in nodes:
                nodes["person_" + str(person.id)] = {
                    "label": f"{person.firstname}, {person.lastname}",
                    "type": "Person",
                    "shape": "dot",
                    "color": "blue",
                }
            edges.append(
                {
                    "from": "person_" + str(person.id),
                    "to": "company_" + str(company.id),
                    # "label": int(entry.relation)
                    "label": RelationTypeEnum.get_string_from_enum(entry.relation),
                }
            )
        company_relations = (
            session.query(entities.CompanyRelation)
            .filter(entities.CompanyRelation.id == entry.id)
            .all()
        )
        for relation in company_relations:
            company_2 = (
                session.query(entities.Company)
                .filter(entities.Company.id == relation.company2_id)
                .first()
            )
            if ("company_" + str(company_2.id)) not in nodes:
                nodes["company_" + str(company_2.id)] = {
                    "label": company_2.name,
                    "type": "Company",
                    "shape": "dot",
                    "color": "#729b79ff",
                }
            edges.append(
                {
                    "from": "company_" + str(company_2.id),
                    "to": "company_" + str(company.id),
                    "label": RelationTypeEnum.get_string_from_enum(entry.relation),
                }
            )
    return pd.DataFrame.from_dict(nodes, orient="index").reset_index(), pd.DataFrame(
        edges
    )


nodes, edges = get_data()
nodes.head()
Out[42]:
<style scoped=""> .dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } </style>
index label type shape color
0 company_1 0 10 24 Telefondienste GmbH Company dot #729b79ff
1 person_1 Nicolas, Tetau Person dot blue
2 person_2 Lutz, Dammast Person dot blue
3 company_2 1. Staiger Grundstücksverwaltung GmbH & Co. KG Company dot #729b79ff
4 person_3 Rosemarie, Tutsch Person dot blue
In [43]:
edges.head()
Out[43]:
<style scoped=""> .dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } </style>
from to label
0 person_1 company_1 RelationshipRoleEnum.GESCHAEFTSFUEHRER
1 person_2 company_1 RelationshipRoleEnum.PROKURIST
2 person_3 company_2 RelationshipRoleEnum.KOMMANDITIST
3 person_4 company_2 RelationshipRoleEnum.KOMMANDITIST
4 person_5 company_2 RelationshipRoleEnum.KOMMANDITIST
In [44]:
import networkx as nx
import matplotlib.pyplot as plt

fig = plt.figure(figsize=(12, 12))
ax = plt.subplot(111)
ax.set_title("Graph - Shapes", fontsize=10)

# initiate graph
graph = nx.MultiGraph()

# create edges from dataframe
graph = nx.from_pandas_edgelist(edges, source="from", target="to", edge_attr="label")

# update node attributes from dataframe
nodes_attr = nodes.set_index("index").to_dict(orient="index")
nx.set_node_attributes(graph, nodes_attr)
No description has been provided for this image
In [49]:
from pyvis.network import Network

net = Network(
    directed=False, neighborhood_highlight=True, bgcolor="white", font_color="black"
)

# pass networkx graph to pyvis
net.from_nx(graph)

net.inherit_edge_colors(False)
net.set_edge_smooth("dynamic")

net.repulsion()
net.show_buttons(filter_=["physics"])

# net.show_buttons()

# save graph as HTML
net.save_graph("./tmp.html")
In [48]:
net.generate_html("./tmp.html")
Out[48]:
'<html>\n    <head>\n        <meta charset="utf-8">\n        \n            <script src="lib/bindings/utils.js"></script>\n            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css" integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA==" crossorigin="anonymous" referrerpolicy="no-referrer" />\n            <script src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js" integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>\n            \n        \n<center>\n<h1></h1>\n</center>\n\n<!-- <link rel="stylesheet" href="../node_modules/vis/dist/vis.min.css" type="text/css" />\n<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->\n        <link\n          href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/css/bootstrap.min.css"\n          rel="stylesheet"\n          integrity="sha384-eOJMYsd53ii+scO/bJGFsiCZc+5NDVN2yr8+0RDqr0Ql0h+rP48ckxlpbzKgwra6"\n          crossorigin="anonymous"\n        />\n        <script\n          src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/js/bootstrap.bundle.min.js"\n          integrity="sha384-JEW9xMcG8R+pH31jmWH6WWP0WintQrMb4s7ZOdauHnUtxwoG2vI5DkLtS3qm9Ekf"\n          crossorigin="anonymous"\n        ></script>\n\n\n        <center>\n          <h1></h1>\n        </center>\n        <style type="text/css">\n\n             #mynetwork {\n                 width: 100%;\n                 height: 600px;\n                 background-color: white;\n                 border: 1px solid lightgray;\n                 position: relative;\n                 float: left;\n             }\n\n             \n             #loadingBar {\n                 position:absolute;\n                 top:0px;\n                 left:0px;\n                 width: 100%;\n                 height: 600px;\n                 background-color:rgba(200,200,200,0.8);\n                 -webkit-transition: all 0.5s ease;\n                 -moz-transition: all 0.5s ease;\n                 -ms-transition: all 0.5s ease;\n                 -o-transition: all 0.5s ease;\n                 transition: all 0.5s ease;\n                 opacity:1;\n             }\n\n             #bar {\n                 position:absolute;\n                 top:0px;\n                 left:0px;\n                 width:20px;\n                 height:20px;\n                 margin:auto auto auto auto;\n                 border-radius:11px;\n                 border:2px solid rgba(30,30,30,0.05);\n                 background: rgb(0, 173, 246); /* Old browsers */\n                 box-shadow: 2px 0px 4px rgba(0,0,0,0.4);\n             }\n\n             #border {\n                 position:absolute;\n                 top:10px;\n                 left:10px;\n                 width:500px;\n                 height:23px;\n                 margin:auto auto auto auto;\n                 box-shadow: 0px 0px 4px rgba(0,0,0,0.2);\n                 border-radius:10px;\n             }\n\n             #text {\n                 position:absolute;\n                 top:8px;\n                 left:530px;\n                 width:30px;\n                 height:50px;\n                 margin:auto auto auto auto;\n                 font-size:22px;\n                 color: #000000;\n             }\n\n             div.outerBorder {\n                 position:relative;\n                 top:400px;\n                 width:600px;\n                 height:44px;\n                 margin:auto auto auto auto;\n                 border:8px solid rgba(0,0,0,0.1);\n                 background: rgb(252,252,252); /* Old browsers */\n                 background: -moz-linear-gradient(top,  rgba(252,252,252,1) 0%, rgba(237,237,237,1) 100%); /* FF3.6+ */\n                 background: -webkit-gradient(linear, left top, left bottom, color-stop(0%,rgba(252,252,252,1)), color-stop(100%,rgba(237,237,237,1))); /* Chrome,Safari4+ */\n                 background: -webkit-linear-gradient(top,  rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Chrome10+,Safari5.1+ */\n                 background: -o-linear-gradient(top,  rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Opera 11.10+ */\n                 background: -ms-linear-gradient(top,  rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* IE10+ */\n                 background: linear-gradient(to bottom,  rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* W3C */\n                 filter: progid:DXImageTransform.Microsoft.gradient( startColorstr=\'#fcfcfc\', endColorstr=\'#ededed\',GradientType=0 ); /* IE6-9 */\n                 border-radius:72px;\n                 box-shadow: 0px 0px 10px rgba(0,0,0,0.2);\n             }\n             \n\n             \n             #config {\n                 float: left;\n                 width: 400px;\n                 height: 600px;\n             }\n             \n\n             \n        </style>\n    </head>\n\n\n    <body>\n        <div class="card" style="width: 100%">\n            \n            \n            <div id="mynetwork" class="card-body"></div>\n        </div>\n\n        \n            <div id="loadingBar">\n              <div class="outerBorder">\n                <div id="text">0%</div>\n                <div id="border">\n                  <div id="bar"></div>\n                </div>\n              </div>\n            </div>\n        \n        \n            <div id="config"></div>\n        \n\n        <script type="text/javascript">\n\n              // initialize global variables.\n              var edges;\n              var nodes;\n              var allNodes;\n              var allEdges;\n              var nodeColors;\n              var originalNodes;\n              var network;\n              var container;\n              var options, data;\n              var filter = {\n                  item : \'\',\n                  property : \'\',\n                  value : []\n              };\n\n              \n\n              \n\n              // This method is responsible for drawing the graph, returns the drawn network\n              function drawGraph() {\n                  var container = document.getElementById(\'mynetwork\');\n\n                  \n\n                  // parsing and collecting nodes and edges from the python\n                  nodes = new vis.DataSet([{"color": "blue", "font": {"color": "black"}, "id": "person_1", "label": "Nicolas, Tetau", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_1", "label": "0 10 24 Telefondienste GmbH", "shape": "dot", "size": 10, "type": "Company"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_4", "label": "01050.com GmbH", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_2", "label": "Lutz, Dammast", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_3", "label": "Rosemarie, Tutsch", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_2", "label": "1. Staiger Grundst\\u00fccksverwaltung GmbH \\u0026 Co. KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_4", "label": "Marc, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_5", "label": "Michaela, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_6", "label": "Margarete, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_7", "label": "Bruno, Staiger", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_8", "label": "Nicole, Hofmann", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_9", "label": "Steffen, Autenrieth", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_3", "label": "1 A Autenrieth Kunststofftechnik GmbH \\u0026 Co. KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_10", "label": "Stefanie, Bischoff", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_2213", "label": "Multi-Center Warenvertriebs GmbH", "shape": "dot", "size": 10, "type": "Company"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_5", "label": "2. Schaper Objekt GmbH \\u0026 Co. Kiel KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_11", "label": "Christel, Achilles", "shape": "dot", "size": 10, "type": "Person"}, {"color": "#729b79ff", "font": {"color": "black"}, "id": "company_6", "label": "AASP Filmproduktionsgesellschaft mbH \\u0026 Co. Leonie KG", "shape": "dot", "size": 10, "type": "Company"}, {"color": "blue", "font": {"color": "black"}, "id": "person_12", "label": "Wilhelm, Ackermann", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_13", "label": "Harald, Ahrens", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_14", "label": "Mohamed Maged, Al Sibai", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_15", "label": "Salim, Al-Bazaz", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_16", "label": "Marina, Attawar", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_17", "label": "Ankica, Babic-Pavicic", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_18", "label": "Ingo, Bak", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_19", "label": "Christoph, Becker", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_20", "label": "Olaf, Becker", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_21", "label": "Rainer, Berg", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_22", "label": "Pieter, Berkhout", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_23", "label": "Bernhard, Berns", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_24", "label": "Franz-Hartwig, Betz", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_25", "label": "Claus, Birken", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_26", "label": "Helmut, Blessing", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_27", "label": "Heinz G., Bohnet", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_28", "label": "Peter, Boldt", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_29", "label": "Thomas, Bone-Winkel", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_30", "label": "Wolfgang, Bongartz", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_31", "label": "Heinz, Bongartz", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_32", "label": "Hans-Dieter, Brasse", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_33", "label": "Frank, Breman", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_34", "label": "Harald C. H., Bremer", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_35", "label": "Franz-Josef, Bruns", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_36", "label": "Norbert, Busch jun.", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_37", "label": "Georg, Butter", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_38", "label": "Kerstin, Butz-Scharf", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_39", "label": "Michael, B\\u00f6s", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_40", "label": "Volker, Canis", "shape": "dot", "size": 10, "type": "Person"}, {"color": "blue", "font": {"color": "black"}, "id": "person_41", "label": "Alfred, 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"to": "person_727", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_728", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_729", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_730", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_731", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_732", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_733", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_734", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_735", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_736", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_737", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_738", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_739", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_740", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_741", "width": 1}, {"from": "company_65", "label": "Kommanditist(in)", "to": "person_742", "width": 1}, {"from": "person_743", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_66", "width": 1}, {"from": "company_66", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_744", "width": 1}, {"from": "person_745", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_67", "width": 1}, {"from": "company_67", "label": "Prokurist(in)", "to": "person_746", "width": 1}, {"from": "company_67", "label": "Prokurist(in)", "to": "person_747", "width": 1}, {"from": "company_67", "label": "Prokurist(in)", "to": "person_748", "width": 1}, {"from": "company_67", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_749", "width": 1}, {"from": "person_750", "label": "Prokurist(in)", "to": "company_68", "width": 1}, {"from": "company_68", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_751", "width": 1}, {"from": "company_68", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_752", "width": 1}, {"from": "company_68", "label": "Prokurist(in)", "to": "person_753", "width": 1}, {"from": "company_163", "label": "Pers\\u00f6nlich haftende(r) Gesellschafter(in)", "to": "company_74", "width": 1}, {"from": "company_80", "label": "Pers\\u00f6nlich haftende(r) Gesellschafter(in)", "to": "company_77", "width": 1}, {"from": "company_80", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_758", "width": 1}, {"from": "company_80", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_760", "width": 1}, {"from": "company_77", "label": "Kommanditist(in)", "to": "person_754", "width": 1}, {"from": "company_77", "label": "Kommanditist(in)", "to": "person_755", "width": 1}, {"from": "company_77", "label": "Kommanditist(in)", "to": "person_756", "width": 1}, {"from": "company_77", "label": "Kommanditist(in)", "to": "person_757", "width": 1}, {"from": "company_77", "label": "Pers\\u00f6nlich haftende(r) Gesellschafter(in)", "to": "person_758", "width": 1}, {"from": "person_759", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_79", "width": 1}, {"from": "person_761", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_81", "width": 1}, {"from": "person_762", "label": "Liquidator(in)", "to": "company_82", "width": 1}, {"from": "person_763", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_83", "width": 1}, {"from": "person_764", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_85", "width": 1}, {"from": "person_765", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_86", "width": 1}, {"from": "company_86", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_766", "width": 1}, {"from": "person_767", "label": "Prokurist(in)", "to": "company_87", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_768", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_769", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_770", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_771", "width": 1}, {"from": "company_87", "label": "Vorstand", "to": "person_772", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_773", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_774", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_775", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_776", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_777", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_778", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_779", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_780", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_781", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_782", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_783", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_784", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_785", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_786", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_787", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_788", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_789", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_790", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_791", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_792", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_793", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_794", "width": 1}, {"from": "company_87", "label": "Vorstand", "to": "person_795", "width": 1}, {"from": "company_87", "label": "Vorstand", "to": "person_796", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_797", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_798", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_799", "width": 1}, {"from": "company_87", "label": "Vorstand", "to": "person_800", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_801", "width": 1}, {"from": "company_87", "label": "Vorstand", "to": "person_802", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_803", "width": 1}, {"from": "company_87", "label": "Prokurist(in)", "to": "person_804", "width": 1}, {"from": "person_805", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_88", "width": 1}, {"from": "person_806", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_89", "width": 1}, {"from": "company_89", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_807", "width": 1}, {"from": "company_89", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_808", "width": 1}, {"from": "company_89", "label": "Prokurist(in)", "to": "person_809", "width": 1}, {"from": "company_89", "label": "Prokurist(in)", "to": "person_810", "width": 1}, {"from": "company_91", "label": "Prokurist(in)", "to": "person_811", "width": 1}, {"from": "company_92", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_812", "width": 1}, {"from": "company_92", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_813", "width": 1}, {"from": "company_92", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_814", "width": 1}, {"from": "company_92", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_815", "width": 1}, {"from": "person_816", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_93", "width": 1}, {"from": "company_93", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_817", "width": 1}, {"from": "person_818", "label": "Vorstand", "to": "company_96", "width": 1}, {"from": "company_96", "label": "Vorstand", "to": "person_819", "width": 1}, {"from": "company_96", "label": "Vorstand", "to": "person_820", "width": 1}, {"from": "company_96", "label": "Vorstand", "to": "person_821", "width": 1}, {"from": "person_822", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_97", "width": 1}, {"from": "company_97", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_823", "width": 1}, {"from": "person_824", "label": "Prokurist(in)", "to": "company_98", "width": 1}, {"from": "company_98", "label": "Prokurist(in)", "to": "person_825", "width": 1}, {"from": "company_98", "label": "Prokurist(in)", "to": "person_826", "width": 1}, {"from": "company_98", "label": "Prokurist(in)", "to": "person_827", "width": 1}, {"from": "person_828", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_100", "width": 1}, {"from": "person_829", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_109", "width": 1}, {"from": "company_109", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_830", "width": 1}, {"from": "person_831", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_110", "width": 1}, {"from": "company_110", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_832", "width": 1}, {"from": "company_110", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_833", "width": 1}, {"from": "company_110", "label": "Prokurist(in)", "to": "person_834", "width": 1}, {"from": "company_110", "label": "Prokurist(in)", "to": "person_835", "width": 1}, {"from": "company_110", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_836", "width": 1}, {"from": "company_110", "label": "Prokurist(in)", "to": "person_837", "width": 1}, {"from": "company_110", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_838", "width": 1}, {"from": "company_110", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_839", "width": 1}, {"from": "company_110", "label": "Prokurist(in)", "to": "person_840", "width": 1}, {"from": "person_841", "label": "Kommanditist(in)", "to": "company_111", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_842", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_843", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_844", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_845", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_846", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_847", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_848", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_849", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_850", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_851", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_852", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_853", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_854", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_855", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_856", "width": 1}, {"from": "company_111", "label": "Kommanditist(in)", "to": "person_857", "width": 1}, {"from": "person_858", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_112", "width": 1}, {"from": "person_859", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "company_113", "width": 1}, {"from": "company_113", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_860", "width": 1}, {"from": "person_861", "label": "Prokurist(in)", "to": "company_114", "width": 1}, {"from": "company_114", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_862", "width": 1}, {"from": "company_114", "label": "Gesch\\u00e4ftsf\\u00fchrer(in)", "to": "person_863", "width": 1}]);\n\n                  nodeColors = {};\n                  allNodes = nodes.get({ returnType: "Object" });\n                  for (nodeId in allNodes) {\n                    nodeColors[nodeId] = allNodes[nodeId].color;\n                  }\n                  allEdges = edges.get({ returnType: "Object" });\n                  // adding nodes and edges to the graph\n                  data = {nodes: nodes, edges: edges};\n\n                  var options = {\n    "configure": {\n        "enabled": true\n    },\n    "edges": {\n        "color": {\n            "inherit": false\n        },\n        "smooth": {\n            "enabled": true,\n            "type": "dynamic"\n        }\n    },\n    "interaction": {\n        "dragNodes": true,\n        "hideEdgesOnDrag": false,\n        "hideNodesOnDrag": false\n    },\n    "physics": {\n        "enabled": true,\n        "repulsion": {\n            "centralGravity": 0.2,\n            "damping": 0.09,\n            "nodeDistance": 100,\n            "springConstant": 0.05,\n            "springLength": 200\n        },\n        "solver": "repulsion",\n        "stabilization": {\n            "enabled": true,\n            "fit": true,\n            "iterations": 1000,\n            "onlyDynamicEdges": false,\n            "updateInterval": 50\n        }\n    }\n};\n\n                  \n\n\n                  \n                  // if this network requires displaying the configure window,\n                  // put it in its div\n                  options.configure["container"] = document.getElementById("config");\n                  \n\n                  network = new vis.Network(container, data, options);\n\n                  \n                    network.on("click", neighbourhoodHighlight);\n                  \n\n                  \n\n                  \n\n\n                  \n                      network.on("stabilizationProgress", function(params) {\n                          document.getElementById(\'loadingBar\').removeAttribute("style");\n                          var maxWidth = 496;\n                          var minWidth = 20;\n                          var widthFactor = params.iterations/params.total;\n                          var width = Math.max(minWidth,maxWidth * widthFactor);\n                          document.getElementById(\'bar\').style.width = width + \'px\';\n                          document.getElementById(\'text\').innerHTML = Math.round(widthFactor*100) + \'%\';\n                      });\n                      network.once("stabilizationIterationsDone", function() {\n                          document.getElementById(\'text\').innerHTML = \'100%\';\n                          document.getElementById(\'bar\').style.width = \'496px\';\n                          document.getElementById(\'loadingBar\').style.opacity = 0;\n                          // really clean the dom element\n                          setTimeout(function () {document.getElementById(\'loadingBar\').style.display = \'none\';}, 500);\n                      });\n                  \n\n                  return network;\n\n              }\n              drawGraph();\n        </script>\n    </body>\n</html>'
In [53]:
import plotly.graph_objects as go

import networkx as nx

G = graph
pos = nx.fruchterman_reingold_layout(G)
pos
Out[53]:
{'person_1': array([-0.94645625, -0.09531674]),
 'company_1': array([-0.94813806, -0.08389861]),
 'person_2': array([-0.97526002, -0.0871018 ]),
 'person_3': array([0.54134536, 0.64503521]),
 'company_2': array([0.51604873, 0.62229675]),
 'person_4': array([0.5037812 , 0.62973112]),
 'person_5': array([0.5285213 , 0.65385073]),
 'person_6': array([0.52969128, 0.61765826]),
 'person_7': array([0.49968848, 0.60013074]),
 'person_8': array([0.5363701 , 0.65151918]),
 'person_9': array([-0.77727145,  0.30530825]),
 'company_3': array([-0.81598961,  0.32018232]),
 'person_10': array([-0.8483026,  0.332434 ]),
 'company_4': array([-0.97412682, -0.09859657]),
 'company_2213': array([ 0.38867021, -0.93487197]),
 'company_5': array([ 0.39772275, -0.94155639]),
 'person_11': array([-0.29175109, -0.17030789]),
 'company_6': array([-0.29339093, -0.13240719]),
 'person_12': array([-0.29848012, -0.19507937]),
 'person_13': array([-0.32924238, -0.13631371]),
 'person_14': array([-0.35154879, -0.12680687]),
 'person_15': array([-0.34310305, -0.10627093]),
 'person_16': array([-0.23552611, -0.16592056]),
 'person_17': array([-0.24874705, -0.18067214]),
 'person_18': array([-0.32502359, -0.14743052]),
 'person_19': array([-0.31562042, -0.09711537]),
 'person_20': array([-0.34951004, -0.12192237]),
 'person_21': array([-0.33635387, -0.18849233]),
 'person_22': array([-0.33080184, -0.12710813]),
 'person_23': array([-0.24246007, -0.16528203]),
 'person_24': array([-0.26356915, -0.09336084]),
 'person_25': array([-0.23849528, -0.12071636]),
 'person_26': array([-0.30277765, -0.14981653]),
 'person_27': array([-0.34759021, -0.09525438]),
 'person_28': array([-0.22937499, -0.1492146 ]),
 'person_29': array([-0.25415164, -0.17853956]),
 'person_30': array([-0.27666426, -0.18549836]),
 'person_31': array([-0.27674809, -0.17531732]),
 'person_32': array([-0.35591117, -0.15576491]),
 'person_33': array([-0.27401137, -0.07199298]),
 'person_34': array([-0.34639099, -0.17925061]),
 'person_35': array([-0.23612511, -0.15300302]),
 'person_36': array([-0.34957319, -0.15907429]),
 'person_37': array([-0.2585243 , -0.14643718]),
 'person_38': array([-0.27503318, -0.16592352]),
 'person_39': array([-0.2268457 , -0.14214373]),
 'person_40': array([-0.33319759, -0.08393148]),
 'person_41': array([-0.25063512, -0.08446116]),
 'person_42': array([-0.36065874, -0.14271824]),
 'person_43': array([-0.2559768 , -0.08336009]),
 'person_44': array([-0.29265791, -0.11994884]),
 'person_45': array([-0.28746808, -0.09585708]),
 'person_46': array([-0.30676436, -0.10049116]),
 'person_47': array([-0.33626893, -0.10389478]),
 'person_48': array([-0.29634419, -0.1066076 ]),
 'person_49': array([-0.25568298, -0.17198077]),
 'person_50': array([-0.28405654, -0.06668834]),
 'person_51': array([-0.32179609, -0.13053083]),
 'person_52': array([-0.2653006 , -0.18520828]),
 'person_53': array([-0.28927353, -0.20091902]),
 'person_54': array([-0.28396797, -0.17398784]),
 'person_55': array([-0.24099757, -0.09950114]),
 'person_56': array([-0.26412135, -0.11836554]),
 'person_57': array([-0.33753172, -0.11729389]),
 'person_58': array([-0.34249121, -0.18461512]),
 'person_59': array([-0.24211307, -0.10677598]),
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 'person_705': array([-0.34908327,  0.47358245]),
 'person_706': array([-0.40671927,  0.48400214]),
 'person_707': array([-0.37574211,  0.45579386]),
 'person_708': array([-0.41819423,  0.51135141]),
 'person_709': array([-0.33166271,  0.49203119]),
 'person_710': array([-0.36924329,  0.4577809 ]),
 'person_711': array([-0.38334072,  0.48985517]),
 'person_712': array([-0.33379477,  0.47466019]),
 'person_713': array([-0.39355388,  0.52673769]),
 'person_714': array([-0.33116809,  0.48392671]),
 'person_715': array([-0.38865703,  0.47680372]),
 'person_716': array([-0.35817987,  0.54381442]),
 'person_717': array([-0.38167745,  0.47315773]),
 'person_718': array([-0.38788182,  0.54964083]),
 'person_719': array([-0.37285116,  0.53114301]),
 'person_720': array([-0.35134482,  0.55410147]),
 'person_721': array([-0.40745929,  0.51074785]),
 'person_722': array([-0.33881909,  0.54961312]),
 'person_723': array([-0.40848666,  0.53229785]),
 'person_724': array([-0.36156163,  0.46845531]),
 'person_725': array([-0.37964672,  0.53681076]),
 'person_726': array([-0.3521046 ,  0.51313174]),
 'person_727': array([-0.32349655,  0.50014853]),
 'person_728': array([-0.34182885,  0.50723195]),
 'person_729': array([-0.33960086,  0.52470899]),
 'person_730': array([-0.32616264,  0.50780821]),
 'person_731': array([-0.40327337,  0.49051988]),
 'person_732': array([-0.31946054,  0.5332405 ]),
 'person_733': array([-0.42006826,  0.50417507]),
 'person_734': array([-0.41393581,  0.48992458]),
 'person_735': array([-0.34178501,  0.54228854]),
 'person_736': array([-0.40217781,  0.49792102]),
 'person_737': array([-0.3317931 ,  0.53524482]),
 'person_738': array([-0.37301499,  0.47273538]),
 'person_739': array([-0.39265776,  0.49601743]),
 'person_740': array([-0.34653988,  0.48592418]),
 'person_741': array([-0.39556891,  0.53945678]),
 'person_742': array([-0.35598746,  0.4841516 ]),
 'person_743': array([0.87209696, 0.30639172]),
 'company_66': array([0.89883834, 0.32141978]),
 'person_744': array([0.89351285, 0.33237156]),
 'person_745': array([0.31651887, 0.66914439]),
 'company_67': array([0.3257446, 0.6836378]),
 'person_746': array([0.34715885, 0.707982  ]),
 'person_747': array([0.34118217, 0.7134003 ]),
 'person_748': array([0.30574933, 0.6454162 ]),
 'person_749': array([0.33325514, 0.71497267]),
 'person_750': array([-0.00372807,  0.73170638]),
 'company_68': array([4.54644556e-04, 7.80857265e-01]),
 'person_751': array([-0.00388265,  0.81329817]),
 'person_752': array([0.0097886, 0.8101123]),
 'person_753': array([0.00425949, 0.81651282]),
 'company_70': array([ 0.29980871, -0.69373077]),
 'company_71': array([ 0.32750151, -0.69562155]),
 'company_72': array([ 0.31857941, -0.69610423]),
 'company_73': array([ 0.2885364 , -0.62755293]),
 'company_163': array([-0.54674244, -0.83015478]),
 'company_74': array([-0.52797377, -0.80334556]),
 'company_75': array([-0.14733453, -0.73577708]),
 'company_76': array([ 0.32541898, -0.67106247]),
 'company_80': array([0.68770343, 0.31996116]),
 'company_77': array([0.68218756, 0.33777472]),
 'person_754': array([0.69035429, 0.3559424 ]),
 'person_755': array([0.71286774, 0.36032134]),
 'person_756': array([0.66552877, 0.34192574]),
 'person_757': array([0.71337616, 0.35137954]),
 'person_758': array([0.70655304, 0.33676568]),
 'company_78': array([ 0.33488458, -0.67130208]),
 'person_759': array([-0.79451728, -0.51925284]),
 'company_79': array([-0.7749061 , -0.50559825]),
 'person_760': array([0.7068612 , 0.31264541]),
 'person_761': array([ 0.89590758, -0.27166176]),
 'company_81': array([ 0.91913521, -0.27762154]),
 'person_762': array([ 0.88191408, -0.11768923]),
 'company_82': array([ 0.88409591, -0.12875454]),
 'person_763': array([ 0.75653118, -0.61609399]),
 'company_83': array([ 0.7445817 , -0.61464059]),
 'company_84': array([0.04371433, 0.25680631]),
 'person_764': array([0.20910533, 0.7143811 ]),
 'company_85': array([0.20781709, 0.70205963]),
 'person_765': array([-0.06244666,  0.92246252]),
 'company_86': array([-0.06379367,  0.89021957]),
 'person_766': array([-0.06553224,  0.84942454]),
 'person_767': array([ 0.34501526, -0.3445237 ]),
 'company_87': array([ 0.31671801, -0.31850669]),
 'person_768': array([ 0.29499701, -0.31001022]),
 'person_769': array([ 0.34851032, -0.30415866]),
 'person_770': array([ 0.33692113, -0.33850551]),
 'person_771': array([ 0.33260912, -0.29866493]),
 'person_772': array([ 0.30774605, -0.33399028]),
 'person_773': array([ 0.33422875, -0.3580094 ]),
 'person_774': array([ 0.29939175, -0.35188952]),
 'person_775': array([ 0.32615072, -0.35718265]),
 'person_776': array([ 0.2875115 , -0.32489243]),
 'person_777': array([ 0.34300739, -0.32244605]),
 'person_778': array([ 0.29508689, -0.32147229]),
 'person_779': array([ 0.32815602, -0.3398506 ]),
 'person_780': array([ 0.35550004, -0.32821801]),
 'person_781': array([ 0.31706885, -0.34175515]),
 'person_782': array([ 0.29885826, -0.33737326]),
 'person_783': array([ 0.28980651, -0.33244795]),
 'person_784': array([ 0.35434473, -0.31455606]),
 'person_785': array([ 0.34278166, -0.33177772]),
 'person_786': array([ 0.29717287, -0.34573436]),
 'person_787': array([ 0.3460685 , -0.35224009]),
 'person_788': array([ 0.30896565, -0.34815815]),
 'person_789': array([ 0.3307268 , -0.32509816]),
 'person_790': array([ 0.30896938, -0.30670816]),
 'person_791': array([ 0.31827939, -0.36013141]),
 'person_792': array([ 0.35245338, -0.34234709]),
 'person_793': array([ 0.35238495, -0.32193604]),
 'person_794': array([ 0.30892119, -0.35659122]),
 'person_795': array([ 0.33217731, -0.31081298]),
 'person_796': array([ 0.28900343, -0.34060469]),
 'person_797': array([ 0.31922722, -0.35191718]),
 'person_798': array([ 0.34098998, -0.30196393]),
 'person_799': array([ 0.32327694, -0.30393237]),
 'person_800': array([ 0.3290447 , -0.34817627]),
 'person_801': array([ 0.33839488, -0.3515242 ]),
 'person_802': array([ 0.30358803, -0.3233135 ]),
 'person_803': array([ 0.35180345, -0.33498466]),
 'person_804': array([ 0.34364581, -0.31214663]),
 'person_805': array([-0.33490261,  0.94091052]),
 'company_88': array([-0.32449731,  0.93713093]),
 'person_806': array([-0.74739218,  0.13444334]),
 'company_89': array([-0.7171644 ,  0.12649792]),
 'person_807': array([-0.68995053,  0.12595682]),
 'person_808': array([-0.74146587,  0.12114812]),
 'person_809': array([-0.71740562,  0.14111891]),
 'person_810': array([-0.75181192,  0.12522842]),
 'company_90': array([0.0473983 , 0.25596601]),
 'company_91': array([0.04348825, 0.26270431]),
 'person_811': array([0.04317451, 0.29845279]),
 'company_92': array([ 0.12810065, -0.48173082]),
 'person_812': array([ 0.13292316, -0.50340521]),
 'person_813': array([ 0.11464564, -0.49958941]),
 'person_814': array([ 0.14261502, -0.50079423]),
 'person_815': array([ 0.12381674, -0.50008047]),
 'person_816': array([ 0.84440643, -0.33791053]),
 'company_93': array([ 0.85843205, -0.33472812]),
 'person_817': array([ 0.85963207, -0.32173654]),
 'company_94': array([ 0.32354167, -0.6871652 ]),
 'company_95': array([ 0.29821587, -0.70115811]),
 'person_818': array([ 0.43434018, -0.80767518]),
 'company_96': array([ 0.44198409, -0.82659864]),
 'person_819': array([ 0.43058643, -0.8343811 ]),
 'person_820': array([ 0.45377585, -0.84119254]),
 'person_821': array([ 0.45814887, -0.8592211 ]),
 'person_822': array([ 0.5838787 , -0.53342068]),
 'company_97': array([ 0.55954748, -0.51247764]),
 'person_823': array([ 0.52991509, -0.48623124]),
 'person_824': array([-0.00128766, -0.66886115]),
 'company_98': array([-0.00345409, -0.6999703 ]),
 'person_825': array([ 0.00908746, -0.70366961]),
 'person_826': array([-0.00296119, -0.72972929]),
 'person_827': array([-0.01273154, -0.73023552]),
 'company_99': array([0.0437482 , 0.25671539]),
 'person_828': array([ 0.71812105, -0.01341575]),
 'company_100': array([ 0.74628627, -0.012477  ]),
 'company_101': array([ 0.2898103, -0.6892643]),
 'company_102': array([ 0.3329407 , -0.68573648]),
 'company_103': array([ 0.31697887, -0.6823684 ]),
 'company_104': array([ 0.31765631, -0.70369923]),
 'company_105': array([ 0.32372966, -0.65448493]),
 'company_106': array([ 0.33002514, -0.67894095]),
 'company_107': array([-0.15816711, -0.80716234]),
 'company_108': array([-0.15469636, -0.78985238]),
 'person_829': array([0.58518863, 0.53029549]),
 'company_109': array([0.58851147, 0.51731086]),
 'person_830': array([0.60231179, 0.51653248]),
 'person_831': array([-0.83023608,  0.18837039]),
 'company_110': array([-0.79970765,  0.18261692]),
 'person_832': array([-0.75047344,  0.1740799 ]),
 'person_833': array([-0.82597929,  0.19582444]),
 'person_834': array([-0.83849508,  0.18460344]),
 'person_835': array([-0.82964236,  0.18013996]),
 'person_836': array([-0.77001554,  0.17414036]),
 'person_837': array([-0.83129287,  0.17272225]),
 'person_838': array([-0.82572705,  0.20370243]),
 'person_839': array([-0.77658886,  0.18405917]),
 'person_840': array([-0.83531344,  0.19609429]),
 'person_841': array([-0.39780959, -0.68741232]),
 'company_111': array([-0.37469277, -0.66103411]),
 'person_842': array([-0.38902673, -0.68364   ]),
 'person_843': array([-0.39741868, -0.67866868]),
 'person_844': array([-0.38650751, -0.6912114 ]),
 'person_845': array([-0.39665788, -0.66324258]),
 'person_846': array([-0.40551353, -0.67366964]),
 'person_847': array([-0.37776378, -0.69792807]),
 'person_848': array([-0.37721109, -0.6861825 ]),
 'person_849': array([-0.3662118 , -0.68927139]),
 'person_850': array([-0.35108262, -0.62525022]),
 'person_851': array([-0.38599989, -0.6982885 ]),
 'person_852': array([-0.3692925 , -0.64405262]),
 'person_853': array([-0.35677004, -0.63830072]),
 'person_854': array([-0.3559714 , -0.61819321]),
 'person_855': array([-0.39613199, -0.69571918]),
 'person_856': array([-0.40514314, -0.68293875]),
 'person_857': array([-0.37028682, -0.69501692]),
 'person_858': array([0.00884062, 0.67091918]),
 'company_112': array([0.01073184, 0.69469851]),
 'person_859': array([ 0.78145403, -0.12372371]),
 'company_113': array([ 0.75039798, -0.12216124]),
 'person_860': array([ 0.71012086, -0.12046699]),
 'person_861': array([-0.9509427 ,  0.06077622]),
 'company_114': array([-0.96681267,  0.06762943]),
 'person_862': array([-0.95818782,  0.07840208]),
 'person_863': array([-1.        ,  0.06918829])}
In [57]:
nodes = pd.DataFrame(pos)
nodes
Out[57]:
<style scoped=""> .dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } </style>
person_1 company_1 person_2 person_3 company_2 person_4 person_5 person_6 person_7 person_8 ... person_857 person_858 company_112 person_859 company_113 person_860 person_861 company_114 person_862 person_863
0 -0.946456 -0.948138 -0.975260 0.541345 0.516049 0.503781 0.528521 0.529691 0.499688 0.536370 ... -0.370287 0.008841 0.010732 0.781454 0.750398 0.710121 -0.950943 -0.966813 -0.958188 -1.000000
1 -0.095317 -0.083899 -0.087102 0.645035 0.622297 0.629731 0.653851 0.617658 0.600131 0.651519 ... -0.695017 0.670919 0.694699 -0.123724 -0.122161 -0.120467 0.060776 0.067629 0.078402 0.069188

2 rows × 980 columns

In [ ]:
Xv = [pos[k][0] for k in range(N)]
Yv = [pos[k][1] for k in range(N)]
Xed = []
Yed = []
for edge in E:
    Xed += [pos[edge[0]][0], pos[edge[1]][0], None]
    Yed += [pos[edge[0]][1], pos[edge[1]][1], None]

trace3 = Scatter(
    x=Xed,
    y=Yed,
    mode="lines",
    line=dict(color="rgb(210,210,210)", width=1),
    hoverinfo="none",
)
trace4 = Scatter(
    x=Xv,
    y=Yv,
    mode="markers",
    name="net",
    marker=dict(
        symbol="circle-dot",
        size=5,
        color="#6959CD",
        line=dict(color="rgb(50,50,50)", width=0.5),
    ),
    text=labels,
    hoverinfo="text",
)

annot = (
    "This networkx.Graph has the Fruchterman-Reingold layout<br>Code:"
    + "<a href='http://nbviewer.ipython.org/gist/empet/07ea33b2e4e0b84193bd'> [2]</a>"
)

data1 = [trace3, trace4]
fig1 = Figure(data=data1, layout=layout)
fig1["layout"]["annotations"][0]["text"] = annot
py.iplot(fig1, filename="Coautorship-network-nx")
In [50]:
import plotly.graph_objects as go

import networkx as nx

G = graph
pos = nx.fruchterman_reingold_layout(G)
edge_x = []
edge_y = []
for edge in G.edges():
    x0, y0 = G.nodes[edge[0]]["pos"]
    x1, y1 = G.nodes[edge[1]]["pos"]
    edge_x.append(x0)
    edge_x.append(x1)
    edge_x.append(None)
    edge_y.append(y0)
    edge_y.append(y1)
    edge_y.append(None)

edge_trace = go.Scatter(
    x=edge_x,
    y=edge_y,
    line=dict(width=0.5, color="#888"),
    hoverinfo="none",
    mode="lines",
)

node_x = []
node_y = []
for node in G.nodes():
    x, y = G.nodes[node]["pos"]
    node_x.append(x)
    node_y.append(y)

node_trace = go.Scatter(
    x=node_x,
    y=node_y,
    mode="markers",
    hoverinfo="text",
    marker=dict(
        showscale=True,
        # colorscale options
        #'Greys' | 'YlGnBu' | 'Greens' | 'YlOrRd' | 'Bluered' | 'RdBu' |
        #'Reds' | 'Blues' | 'Picnic' | 'Rainbow' | 'Portland' | 'Jet' |
        #'Hot' | 'Blackbody' | 'Earth' | 'Electric' | 'Viridis' |
        colorscale="YlGnBu",
        reversescale=True,
        color=[],
        size=10,
        colorbar=dict(
            thickness=15, title="Node Connections", xanchor="left", titleside="right"
        ),
        line_width=2,
    ),
)
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
c:\Users\trimr\Projekte\aki_prj23_transparenzregister\src\aki_prj23_transparenzregister\utils\networkx\Dev.ipynb Cell 10 line 9
      <a href='vscode-notebook-cell:/c%3A/Users/trimr/Projekte/aki_prj23_transparenzregister/src/aki_prj23_transparenzregister/utils/networkx/Dev.ipynb#X13sZmlsZQ%3D%3D?line=6'>7</a> edge_y = []
      <a href='vscode-notebook-cell:/c%3A/Users/trimr/Projekte/aki_prj23_transparenzregister/src/aki_prj23_transparenzregister/utils/networkx/Dev.ipynb#X13sZmlsZQ%3D%3D?line=7'>8</a> for edge in G.edges():
----> <a href='vscode-notebook-cell:/c%3A/Users/trimr/Projekte/aki_prj23_transparenzregister/src/aki_prj23_transparenzregister/utils/networkx/Dev.ipynb#X13sZmlsZQ%3D%3D?line=8'>9</a>     x0, y0 = G.nodes[edge[0]]['pos']
     <a href='vscode-notebook-cell:/c%3A/Users/trimr/Projekte/aki_prj23_transparenzregister/src/aki_prj23_transparenzregister/utils/networkx/Dev.ipynb#X13sZmlsZQ%3D%3D?line=9'>10</a>     x1, y1 = G.nodes[edge[1]]['pos']
     <a href='vscode-notebook-cell:/c%3A/Users/trimr/Projekte/aki_prj23_transparenzregister/src/aki_prj23_transparenzregister/utils/networkx/Dev.ipynb#X13sZmlsZQ%3D%3D?line=10'>11</a>     edge_x.append(x0)

KeyError: 'pos'
In [ ]:
node_adjacencies = []
node_text = []
for node, adjacencies in enumerate(G.adjacency()):
    node_adjacencies.append(len(adjacencies[1]))
    node_text.append("# of connections: " + str(len(adjacencies[1])))

node_trace.marker.color = node_adjacencies
node_trace.text = node_text
In [ ]:
fig = go.Figure(
    data=[edge_trace, node_trace],
    layout=go.Layout(
        title="<br>Network graph made with Python",
        titlefont_size=16,
        showlegend=False,
        hovermode="closest",
        margin=dict(b=20, l=5, r=5, t=40),
        annotations=[
            dict(
                text="Python code: <a href='https://plotly.com/ipython-notebooks/network-graphs/'> https://plotly.com/ipython-notebooks/network-graphs/</a>",
                showarrow=False,
                xref="paper",
                yref="paper",
                x=0.005,
                y=-0.002,
            )
        ],
        xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
        yaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
    ),
)
fig.show()