{
"cells": [
{
"cell_type": "code",
"execution_count": 55,
"id": "af118d77-d87a-4687-be5b-e810a24c403e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-06-26 13:01:06 +0000 | io:INFO | Loaded TOML config file successfully.\n"
]
}
],
"source": [
"from lang_main import io\n",
"\n",
"from pathlib import Path\n",
"import pickle\n",
"import base64"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "4256081a-6364-4e8f-8cfd-799912ca6b94",
"metadata": {},
"outputs": [],
"source": [
"res_path = Path(r'A:\\Arbeitsaufgaben\\lang-main\\scripts\\results\\test_20240619')\n",
"assert res_path.exists()"
]
},
{
"cell_type": "code",
"execution_count": 121,
"id": "e9a92ad6-5e63-49c4-b9e7-9f81da8549fe",
"metadata": {},
"outputs": [],
"source": [
"# obj = 'TK-GRAPH_POSTPROCESSING.pkl'\n",
"obj = 'TK-GRAPH_ANALYSIS.pkl'\n",
"load_pth = res_path / obj\n",
"assert load_pth.exists()"
]
},
{
"cell_type": "code",
"execution_count": 122,
"id": "c2421d89-ed8c-41dd-b363-ad5b5b716704",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-06-26 13:22:38 +0000 | io:INFO | Loaded file successfully.\n"
]
}
],
"source": [
"ret = io.load_pickle(load_pth)"
]
},
{
"cell_type": "code",
"execution_count": 123,
"id": "ca25a7f2-84af-4b5e-89d6-b139fca35617",
"metadata": {},
"outputs": [],
"source": [
"tkg = ret[0]"
]
},
{
"cell_type": "code",
"execution_count": 124,
"id": "ff7e7ab6-67d9-4a2c-b668-cf10740f7542",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"TokenGraph(name: TokenGraph, number of nodes: 143, number of edges: 163)"
]
},
"execution_count": 124,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tkg"
]
},
{
"cell_type": "code",
"execution_count": 125,
"id": "f0df3580-cea5-48cc-bdbc-2927dd446e1b",
"metadata": {},
"outputs": [],
"source": [
"import networkx as nx\n",
"from alph import alph, layout\n",
"import altair as alt"
]
},
{
"cell_type": "markdown",
"id": "f042b302-fa3c-45b0-8d7a-7a68b66bf595",
"metadata": {},
"source": [
"layout_fn=lambda g: nx.spring_layout(\n",
" g,\n",
" weight=\"weight\",\n",
" k=20,\n",
" iterations=5000,\n",
" seed=42\n",
" ),\n",
"layout_fn=lambda g: layout.force_atlas_sknet(\n",
" g,\n",
" n_iter=100,\n",
" gravity_factor=0.01,\n",
" repulsive_factor=0.1,\n",
" init_seed=42,\n",
" ),"
]
},
{
"cell_type": "code",
"execution_count": 257,
"id": "04d3d857-37cb-420e-8426-b1465d94efae",
"metadata": {},
"outputs": [],
"source": [
"alph_params = dict(\n",
" weight_attr=\"weight\",\n",
" layout_fn=lambda g: nx.nx_agraph.pygraphviz_layout(\n",
" g,\n",
" prog=\"fdp\",\n",
" args='-GK=5'\n",
" ),\n",
" node_args=dict(\n",
" size=alt.Size(\n",
" \"degree_centrality\",\n",
" scale=alt.Scale(domain=[0,1], range=[12**2, 40**2]),\n",
" legend=None\n",
" ),\n",
" #fill=alt.Color(\n",
" # \"degree_centrality\",\n",
" # scale=alt.Scale(domain=companies, range=palette),\n",
" #),\n",
" stroke=\"#333\",\n",
" strokeWidth=alt.Size(\n",
" \"degree_centrality\",\n",
" scale=alt.Scale(domain=[0,1], range=[2, 5]),\n",
" legend=None\n",
" ),\n",
" tooltip_attrs=[\"id\"],\n",
" label_attr=\"id\",\n",
" ),\n",
" edge_args=dict(\n",
" color=\"#000\",\n",
" ),\n",
" width=800,\n",
" height=600,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 258,
"id": "64e6a5c1-e42d-4ad2-8c32-5cf62bc75852",
"metadata": {},
"outputs": [],
"source": [
"nx.set_node_attributes(tkg, {\n",
" n: {\n",
" \"id\": n,\n",
" } for n in tkg.nodes\n",
"})"
]
},
{
"cell_type": "code",
"execution_count": 259,
"id": "7e895f70-74a2-433c-91c2-a440303ab81a",
"metadata": {},
"outputs": [],
"source": [
"nx.set_node_attributes(tkg, nx.degree_centrality(tkg), \"degree_centrality\")"
]
},
{
"cell_type": "code",
"execution_count": 260,
"id": "a13cc710-01d8-4f52-b066-3796b4609118",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
""
],
"text/plain": [
"alt.LayerChart(...)"
]
},
"execution_count": 260,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"alph(tkg, **alph_params).configure_view(strokeWidth=0)"
]
},
{
"cell_type": "code",
"execution_count": 261,
"id": "842e01fa-29cd-4028-9461-c7af24e01c33",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'id': 'Wartungstätigkeit', 'degree_centrality': 0.04225352112676056}"
]
},
"execution_count": 261,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tkg.nodes['Wartungstätigkeit']"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8d36d22e-73fd-44fe-ab08-98f8186bc6b2",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "7f6d1b73-7378-4c98-aeed-b72bf27a942e",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}