spaCy/spaCy_networkx3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a56c4043-52ec-44c3-b01d-48899a39f27a",
   "metadata": {},
   "source": [
    "# spaCy and networkx その３\n",
    "\n",
    "名前列挙に対する動的な重みづけに対応：[人名列挙の探索](finding_group.ipynb)\n",
    "\n",
    "パラグラフ単位でのコンビネーションと名前列挙に対する動的な重みづけを行なった結果、J.S.Bachと他の音楽家の関係やJ.S.Bachと家族の関係をうまく抽出することが出来るようになった。伝記に対しては、このような手法の方が良い結果となる。\n",
    "\n",
    "\n",
    "Date: 2023/12/26-2023/12/27, 2024/01/04-2024/01/05\n",
    "\n",
    "Reference: https://youtu.be/fAHkJ_Dhr50\n",
    "\n",
    "Free book \"Johann Sebastian Bach: His Life, Art, and Work\" from Project Gutenberg: https://www.gutenberg.org/ebooks/35041"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7b4e4c39-9d3c-49cf-b729-d01db4e617f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.\n",
      "  warn(\"The installed version of bitsandbytes was compiled without GPU support. \"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'NoneType' object has no attribute 'cadam32bit_grad_fp32'\n"
     ]
    }
   ],
   "source": [
    "import spacy\n",
    "from spacy import displacy\n",
    "import re\n",
    "nlp = spacy.load('en_core_web_trf')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82613bb2-e12a-4741-b896-8004264cbaf3",
   "metadata": {},
   "source": [
    "## 原文への前処理とパラグラフ単位で分割"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1d24b78c-dade-44b7-b733-e31a6f0cdab5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Carl Philipp Emmanuel, in the preface to his father\\'s Vierstimmige Choralgesänge (\"Four-part Hymn-tunes\"), which he edited, says that the world was accustomed to look for nothing but masterpieces from Bach. Some reviewers thought this praise exaggerated.  But if the term \"masterpiece\" is restricted to works written during the years of Bach\\'s maturity it is nothing less than the truth.  Others have produced masterpieces in various forms which may be placed honourably by the side of his.  For instance, certain Allemandes, Courantes, etc., by Handel and others are not less beautiful, though less richly wrought, than Bach\\'s. But in Fugue, Counterpoint, and Canon he stands alone, in a grandeur so isolated that all around him seems desert and void.  No one ever wrote Fugues to compare with his; indeed, persons unacquainted with them cannot imagine what a Fugue is and ought to be.  The ordinary Fugue follows a rule of thumb development.  It takes a theme, puts another beside it, passes them into related keys, and writes other parts round them over a Continuo.  Certainly this is Fugue: but of what merit?  Persons who know no other not unnaturally hold the whole species in little esteem, and the player who hopes to make such commonplace material convincing will need all his skill and imagination.',\n",
       " \"Bach's Fugue is of quite another kind.  It presents all the characteristics we are accustomed to in freer musical forms: a flowing and distinctive melody, ease, clarity, and facility in the progression of the parts, inexhaustible variety of modulation, purest harmony, the exclusion of every jarring or unnecessary note, unity of form and variety of style, rhythm, and measure, and such superabundant animation that the hearer may well ask himself whether every note is not actually alive.  Such are the properties of Bach's Fugues, properties which excite the admiration and astonishment of all who can appreciate the intellectual calibre their composition demands. How great a tribute of homage is due to work of this kind, which exhibits all the qualities which lend distinction to compositions in other musical forms!  Moreover, while all Bach's Fugues of his mature period have the foregoing properties in common, each is endowed with peculiar excellencies of its own, has its own distinctive individuality, and displays a melodic and harmonic scheme in keeping with it.  The man who can play one of Bach's Fugues is familiar with, and can play, one only; whereas knowing one, we can perform portfolios of Fugues by other performers of Bach's period.\",\n",
       " \"To what a height was the art of Counterpoint carried by Bach's genius!  It enabled him to develop out of a given subject a whole family of related and contrasted themes, of every form and design.  It taught him to develop an idea logically from the beginning to the end.  It gave him such a command of harmony and its infinite combinations that he could invert whole themes, note by note, in every part, without impairing in the least the flow of melody or purity of his harmony.  It taught him to write in canon at all intervals and in movements of all kinds so easily and naturally that the workmanship is not perceptible and the composition sounds as smoothly as though it were in the free style. Lastly, it has given to posterity a legacy of works immensely various, which are, and will remain, models of contrapuntal form as long as music endures.\",\n",
       " \"I have written exclusively so far of Bach's Clavier and Organ work.  But in its expression music has two branches, instrumental and vocal, and as Bach excels in both of them, the reader will desire to hear somewhat respecting his vocal writings.\",\n",
       " 'It was at Weimar that Bach first had occasion to write for the voice, upon his appointment to the Kapelle, which imposed on him the provision of music for the ducal chapel.  His church music, like his Organ works, is devout and serious, and in every respect what church music ought to be. He makes a point also of not elaborating individual words, which leads to mere trifling, but interprets the text as a whole. His choruses invariably are magnificent and impressive, and he frequently introduces Chorals into them, making the other parts accompany their Cantus fugally, as was the practice in a Motet.  As elsewhere in his works, the harmonic structure of his voice parts and instrumental accompaniment is rich.  The declamation of the recitatives is expressive, and the latter have fine Continuo parts. In his Arias, hardly one of which is not beautiful and expressive, Bach seems to have been handicapped by the inefficiency of his singers and instrumentalists, who constantly complained of the difficulty of his music.  If he had been fortunate enough to have capable performers the merits of his church music would have been established and, like his other works, they would still be sung and admired; for they contain treasures which deserve immortality.']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open('../data/pg35041_.txt') as f:\n",
    "    text_ = f.read()\n",
    "\n",
    "text_ = re.sub(r'_*\\(\\d+\\)|_', '', text_)\n",
    "text_ = re.sub(r'\\d+\\.\\s', '\\n', text_)\n",
    "text_ = re.sub(r'\\s{6}', '', text_)\n",
    "text = re.sub(r'\\n{2}', '|', text_)\n",
    "\n",
    "paragraphs = text.replace('\\n$', ' ').replace('\\n', ' ').split('|')\n",
    "paragraphs[100:105]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c6c5f25e-3b54-4565-b344-124a5d842725",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<span class=\"tex2jax_ignore\"><div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">As Cantor \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Bach\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " had an official residence in the left wing of \n",
       "<mark class=\"entity\" style=\"background: #9cc9cc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    the School House\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">FAC</span>\n",
       "</mark>\n",
       ".  In \n",
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       "    1723\n",
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       "</mark>\n",
       ", the \n",
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       " storeys only, dwarfed by the greater elevation of the main edifice and under the shadow of the church. \n",
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       " brought to \n",
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       "    Leipzig\n",
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       " \n",
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       "    four\n",
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       "    first\n",
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       " marriage, and his \n",
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       "    second\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORDINAL</span>\n",
       "</mark>\n",
       " wife, \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Anna Magdalena\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       ", presented him with a son or daughter annually from \n",
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       "    1723\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       " to   The accommodation of the \n",
       "<mark class=\"entity\" style=\"background: #9cc9cc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Cantor\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">FAC</span>\n",
       "</mark>\n",
       "'s lodging therefore rapidly became inadequate.  In \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    the spring of 1731\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       " \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Bach\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " found a house elsewhere while an additional storey was added to it, which provided a new music-room, a good-sized apartment whence a passage led to the big schoolroom in the main building.  The new wing was formally opened and dedicated on \n",
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       "    June 5, 1732\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       ", when \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Bach\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       "'s secular \n",
       "<mark class=\"entity\" style=\"background: #f0d0ff; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Cantata Froher Tag\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">WORK_OF_ART</span>\n",
       "</mark>\n",
       ", verlangte Stunden was performed; the libretto being by his colleague \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Winkler\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       ".  From thenceforward till his death \n",
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       "    eighteen years later\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       " \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Bach\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       "'s occupancy was not disturbed.  The wing continued to be the official residence of the \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Cantor\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " until the \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    School\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " moved to the suburbs of the city in </div></span>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "doc = nlp(paragraphs[36])\n",
    "displacy.render(doc, style=\"ent\", jupyter=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "905a9673-fd63-4228-804f-696c92f29851",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'AGRICOLA',\n",
       " 'ALTNIKOL',\n",
       " 'Allemandes',\n",
       " 'Altnikol',\n",
       " 'Anna Magdalena',\n",
       " 'Anspach',\n",
       " 'August Friedrich Müller',\n",
       " 'Augustus II.',\n",
       " 'Augustus III',\n",
       " 'B A C H. Bach',\n",
       " 'BACH',\n",
       " 'BACH THE ORGANIST',\n",
       " 'Bach',\n",
       " 'Bachs',\n",
       " 'Balthasar Schmidt',\n",
       " 'Bass',\n",
       " 'Beethoven',\n",
       " 'Benda',\n",
       " 'Benedictus',\n",
       " 'Berardi',\n",
       " 'Bruhns',\n",
       " 'Buononcini',\n",
       " 'Buxtehude',\n",
       " 'Böhm',\n",
       " 'CARL PHILIPP EMMANUEL BACH',\n",
       " 'Caldara',\n",
       " 'Cantor',\n",
       " 'Carl Philipp',\n",
       " 'Carl Philipp Emmanuel',\n",
       " \"Carl Philipp Emmanuel Bach's\",\n",
       " \"Carl Philipp Emmanuel's\",\n",
       " \"Carl Philipp's\",\n",
       " 'Charles',\n",
       " 'Charles III.',\n",
       " 'Christian',\n",
       " 'Christian Weiss',\n",
       " 'Christiana Eberhardine',\n",
       " 'Christopher Weigel, Junior',\n",
       " 'Clavichord',\n",
       " 'Clavier',\n",
       " 'Claviers',\n",
       " 'Contrabasso',\n",
       " 'Couperin',\n",
       " 'Courantes',\n",
       " 'Dietrich Buxtehude',\n",
       " 'Dresden',\n",
       " 'Elias Gottlieb Haussmann',\n",
       " 'Erdmann',\n",
       " 'Ernesti',\n",
       " 'Ernst August',\n",
       " 'Fagotti',\n",
       " 'Faustina',\n",
       " 'Fischer',\n",
       " 'Flemming',\n",
       " 'Flutes',\n",
       " 'Frederick II.',\n",
       " 'Frederick the Great',\n",
       " 'Frescobaldi',\n",
       " 'Friedemann',\n",
       " 'Fritz    Volbach',\n",
       " 'Fritz    VolbachCHAPTER',\n",
       " 'Fritz Volbach',\n",
       " 'Froberger',\n",
       " 'Fux',\n",
       " 'GOLDBERG',\n",
       " 'Georg Philipp Telemann',\n",
       " 'Gesner',\n",
       " 'Goldberg',\n",
       " 'Gottes Sohn',\n",
       " 'Gottlieb Kortte',\n",
       " 'Grauns',\n",
       " 'Görner',\n",
       " 'HOMILIUS',\n",
       " 'Handel',\n",
       " 'Harpsichord',\n",
       " 'Hasse',\n",
       " 'Haussmann',\n",
       " 'Herrn',\n",
       " 'Hoffmeister',\n",
       " 'Hurlebusch',\n",
       " 'Hymn',\n",
       " 'J. C. Gottsched',\n",
       " 'JOHANN CASPAR VOGLER',\n",
       " 'JOHANN CHRISTIAN BACH',\n",
       " 'JOHANN CHRISTOPH FRIEDRICH BACH',\n",
       " 'Jesu',\n",
       " 'Johann Abraham Birnbaum',\n",
       " 'Johann Adam Reinken',\n",
       " 'Johann Ambrosius',\n",
       " 'Johann Ambrosius Bach',\n",
       " 'Johann August Ernesti',\n",
       " 'Johann Bernhard Bach',\n",
       " 'Johann Caspar Kerl',\n",
       " 'Johann Christian Hoffmann',\n",
       " 'Johann Christoph',\n",
       " 'Johann Christoph Bach',\n",
       " \"Johann Christoph Friedrich's\",\n",
       " 'Johann G. Schübler',\n",
       " 'Johann Gottlieb Görner',\n",
       " 'Johann Heinrich Ernesti',\n",
       " 'Johann Matthias Gesner',\n",
       " 'Johann Michael Bach',\n",
       " 'Johann Sebastian',\n",
       " 'Johann Sebastian Bach',\n",
       " \"Johann Sebastian Bach's\",\n",
       " 'KIRNBERGER',\n",
       " 'KITTEL',\n",
       " 'KREBS',\n",
       " 'Kaiserling',\n",
       " 'Kerl',\n",
       " 'Kirchhoff',\n",
       " 'Kirnberger',\n",
       " 'Kittel',\n",
       " 'Kuhnau',\n",
       " 'Kühnel',\n",
       " 'Leopold',\n",
       " 'Marchand',\n",
       " 'Maria Amalia',\n",
       " 'Marianne von Ziegler',\n",
       " 'Marpurg',\n",
       " 'Michaelmas',\n",
       " 'Mizler',\n",
       " 'MÜTHEL',\n",
       " 'Müller',\n",
       " 'Nimm',\n",
       " 'Nürnberg',\n",
       " 'Oboe',\n",
       " 'Oboi',\n",
       " 'Ohrdruf',\n",
       " 'Organ',\n",
       " 'Organist',\n",
       " 'Osanna',\n",
       " 'Pachelbel',\n",
       " 'Peters',\n",
       " 'Picander',\n",
       " 'Preludes',\n",
       " 'Professoriate',\n",
       " 'Providence',\n",
       " 'Quantz',\n",
       " 'Quartet',\n",
       " 'Rector',\n",
       " 'Regine Susanna',\n",
       " 'Reinhard Keiser',\n",
       " 'Reinken',\n",
       " 'SCHUBART',\n",
       " 'Sarabandes',\n",
       " 'Scheibe',\n",
       " 'Schiller',\n",
       " 'Silbermann',\n",
       " 'Sorge',\n",
       " 'Strungk',\n",
       " 'TRANSCHEL',\n",
       " 'Taille',\n",
       " 'Telemann',\n",
       " 'Timpani',\n",
       " 'Tosi',\n",
       " 'Trombe',\n",
       " 'Tönet',\n",
       " 'VOIGT',\n",
       " 'Veit Bach',\n",
       " \"Veit Bach's\",\n",
       " 'Viola',\n",
       " 'Violas',\n",
       " 'Violin',\n",
       " 'Violins',\n",
       " 'Violoncelli',\n",
       " 'Violoncello',\n",
       " 'Vivaldi',\n",
       " 'Volumier',\n",
       " 'WILHELM FRIEDEMANN BACH',\n",
       " 'Wilhelm Friedemann',\n",
       " 'Wilhelm Friedemann Bach',\n",
       " 'Winkler',\n",
       " 'Zachau',\n",
       " 'Zelenka',\n",
       " 'ihr Pauken'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_names = set()\n",
    "for doc in nlp.pipe(paragraphs):\n",
    "    for name in [ent.text for ent in doc.ents if ent.label_ == 'PERSON']:\n",
    "        all_names.add(name)\n",
    "all_names"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ecc5b28-b820-4a03-967d-4fabfafc4f54",
   "metadata": {},
   "source": [
    "Clavier（ピアノ）など、名前として誤検知されているものがある。以降で、これらを取り除く。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d81bb0c-5dfd-49de-b1bb-b7ceff39e17b",
   "metadata": {},
   "source": [
    "## 列挙探索関数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bf7cfea1-1d63-45b4-bb0b-e12f853f9e46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Johann Sebastian Bach', 'Carl Philipp Emanuel Bach']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# spaCyがPERSONとして誤検知したNamed Entityを削除するための人名リスト\n",
    "CLEANED_NAMES =['Anna Magdalena',\n",
    " 'Bach',\n",
    " 'Beethoven',\n",
    " 'Böhm',\n",
    " 'Bruhns',\n",
    " 'Buxtehude',\n",
    " 'Carl Philipp',\n",
    " 'Carl Philipp Emmanuel',\n",
    " 'Caspar Kerl',\n",
    " 'Charles III',\n",
    " 'Charles of Sicily',\n",
    " 'Christopher Weigel',\n",
    " 'Count Kaiserling',\n",
    " 'Couperin',\n",
    " 'Duke Christian of Weissenfels',\n",
    " 'Duke Ernst',\n",
    " 'Elias Gottlieb Haussmann',\n",
    " 'Emmanuel Bach',\n",
    " 'Forkel',\n",
    " 'Fischer',\n",
    " 'Frederick II',\n",
    " 'Frescobaldi',\n",
    " 'Friedemann',\n",
    " 'Friedrich Müller',\n",
    " 'Fritz',\n",
    " 'Fritz Volbach',\n",
    " 'Froberger',\n",
    " 'Georg Philipp Telemann',\n",
    " 'Gottfried Baron van Swieten',\n",
    " 'Görner',\n",
    " 'Handel',\n",
    " 'Hasse',\n",
    " 'Haussmann',\n",
    " 'Haydn',\n",
    " 'Hence Bach',\n",
    " 'Herein Bach',\n",
    " 'Hoffmeister',\n",
    " 'J. C. Gottsched',\n",
    " 'Johann Ambrosius',\n",
    " 'Johann Abraham Birnbaum',\n",
    " 'Johann Adam Reinken',\n",
    " 'Johann Ambrosius Bach',\n",
    " 'Johann Bernhard Bach',\n",
    " 'Johanna Caroline',\n",
    " 'Johann Christian Hoffmann',\n",
    " 'Johann Christoph',\n",
    " 'Johann Christoph Bach',\n",
    " \"Johann Christoph Friedrich's\",\n",
    " 'Johann G. Schübler',\n",
    " 'Johann Gottlieb Görner',\n",
    " 'Johann Caspar Kerl',               \n",
    " 'Johann Heinrich Ernesti',\n",
    " 'Johann Matthias Gesner',\n",
    " 'Johann Michael Bach',\n",
    " 'Johann Sebastian',\n",
    " 'Johann Sebastian Bach',\n",
    " 'Kühnel',\n",
    " 'Kerl',\n",
    " 'Maria Amalia',\n",
    " 'Marianne von Ziegler',\n",
    " 'Messrs',\n",
    " 'Mozart',\n",
    " 'Müller',\n",
    " 'Nicolas',\n",
    " 'Pachelbel',\n",
    " 'Paul Wagner',\n",
    " 'Peters',\n",
    " 'Philipp Telemann',\n",
    " 'Regine Susanna',\n",
    " 'Reinhard Keiser',\n",
    " 'Sebastian Bach',\n",
    " 'Veit Bach',\n",
    " 'Vereinigte Zwietracht',\n",
    " 'Vierstimmige Choralgesänge',\n",
    " 'Vivaldi',\n",
    " 'Vom Himmel',\n",
    " 'Wahre Grundsätze',\n",
    " 'Wasserflüssen Babylon',\n",
    " 'Wilhelm Friedemann']\n",
    "\n",
    "# Bach家系の名前をフルネームへ変換するためのリスト\n",
    "REPLACE = {'Bach': 'Johann Sebastian Bach',\n",
    "           'Johann Sebastian': 'Johann Sebastian Bach',\n",
    "           'Sebastian Bach': 'Johann Sebastian Bach',\n",
    "           'Carl Philipp': 'Carl Philipp Emanuel Bach',\n",
    "           'Carl Philipp Emanuel': 'Carl Philipp Emanuel Bach',\n",
    "           'Carl Philipp Emmanuel': 'Carl Philipp Emanuel Bach', \n",
    "           'Emmanuel Bach': 'Carl Philipp Emanuel Bach',            \n",
    "           'Wilhelm Friedemann': 'Wilhelm Friedemann Bach',\n",
    "           'Friedemann': 'Wilhelm Friedemann Bach',\n",
    "           'Johann Christoph': 'Johann Christoph Bach',\n",
    "           'Anna Magdalena': 'Anna Magdalena Bach',\n",
    "           'Regine Susanna': 'Regine Susanna Bach',\n",
    "           'Johann Ambrosius': 'Johann Ambrosius Bach'\n",
    "          }\n",
    "\n",
    "def align_names(namelist):\n",
    "    namelist_ = [name.replace(\"'s\", \"\") for name in namelist]\n",
    "    return [REPLACE[name] if name in REPLACE else name for name in namelist_]\n",
    "\n",
    "# Test\n",
    "align_names(['Bach', 'Carl Philipp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f2f8583f-5033-418f-bc9f-2aeb7417d4e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# グループの先頭のTokenを探索\n",
    "def findHead(token, head):\n",
    "    if token.dep_ == 'conj':\n",
    "        findHead(token.head, head)\n",
    "    else:\n",
    "        head.append(token)\n",
    "\n",
    "# PROPNで列挙されるTokenを探索\n",
    "def findGroup(token, groups):\n",
    "    for t in token.children:\n",
    "        if (t.pos_ == 'PROPN' and t.dep_ == 'conj'):\n",
    "            #print(t.head.text, t.text)\n",
    "            head = []\n",
    "            findHead(t, head)\n",
    "            #print(head)\n",
    "            head_ = head[0]\n",
    "            if not head_ in groups:\n",
    "                groups[head_] = [head_]\n",
    "            groups[head_].append(t)\n",
    "        try:\n",
    "            first = next(t.children)\n",
    "            findGroup(t, groups)\n",
    "        except StopIteration:\n",
    "            pass\n",
    "\n",
    "# フルネームを得るため、compoundの関係で結ばれるPROPNを全て接続\n",
    "def fullname(token, text=False):\n",
    "    name = []\n",
    "    for t in token.children:\n",
    "        if t.dep_ == 'compound':\n",
    "            name.append(t)\n",
    "    name.append(token)\n",
    "    if text:\n",
    "        return ' '.join([token.text for token in name])\n",
    "    else:\n",
    "        return name\n",
    "\n",
    "# 文の中で名前の列挙を探索し列挙グループの配列と列挙グループに含まれない名前の配列を返す\n",
    "def findPersonsInGroup(doc, all_names=False, cleaned_names=False):\n",
    "    groups = []\n",
    "\n",
    "    # CLEANED_NAMESにない名前を除去\n",
    "    if cleaned_names:\n",
    "        doc.ents = [ent for ent in doc.ents if ent.label_ == 'PERSON' and ent.text in CLEANED_NAMES]\n",
    "    \n",
    "    persons_ = [ent.text for ent in doc.ents if ent.label_ == 'PERSON']\n",
    "    spans = [[ent.start_char, ent.end_char] for ent in doc.ents]\n",
    "    \n",
    "    persons_ = align_names(persons_)\n",
    "    persons = set(persons_)\n",
    "    for token in doc:\n",
    "        if token.dep_ == 'ROOT':\n",
    "            root = token\n",
    "            groups_ = {}\n",
    "            findGroup(root, groups_)\n",
    "            for group in groups_.values():\n",
    "                fullname_list = [fullname(token, text=True) for token in group]\n",
    "                fullname_list = align_names(fullname_list)\n",
    "                # PERSONのみ抽出\n",
    "                persons_fullname_list = [name for name in fullname_list if name in persons]\n",
    "                #print(persons_fullname_list)\n",
    "                if len(persons_fullname_list) > 0:\n",
    "                    groups.append(set(persons_fullname_list))\n",
    "    if not all_names:\n",
    "        for group in groups:\n",
    "            for name in group:\n",
    "                persons.remove(name)\n",
    "    return (groups, persons, spans)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68a4fec6-5169-4e89-9d25-006b39ceb12b",
   "metadata": {},
   "source": [
    "## Paragraph単位で weight付き node - edge - node のペア生成"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "110b6c0e-9b36-479f-89d0-82a2a8636e28",
   "metadata": {},
   "outputs": [],
   "source": [
    "import itertools\n",
    "\n",
    "def isPairInGroup(node_a, node_b, groups):\n",
    "    is_group_member = False\n",
    "    for group in groups:\n",
    "        if node_a in group and node_b in group:\n",
    "            is_group_member = True\n",
    "            break\n",
    "    if is_group_member:\n",
    "        weight = 2/len(group)  # グループ内メンバ間のweightは反比例の関係\n",
    "    else:\n",
    "        weight = 1  # グループ外では常にweightを1とする\n",
    "    return (is_group_member, weight)\n",
    "\n",
    "network = []\n",
    "spans_in_paragraph = {}\n",
    "p_idx = 0\n",
    "for doc in nlp.pipe(paragraphs):\n",
    "    for cleaned_names in (True, ):  # CLEANED_NAMESに人名漏れないかチェックしたいときには (True, False)にする\n",
    "        groups, persons, spans = findPersonsInGroup(doc, all_names=True, cleaned_names=cleaned_names)\n",
    "        spans_in_paragraph[p_idx] = spans\n",
    "        for node_pair in itertools.combinations(persons, r=2):\n",
    "            weight = isPairInGroup(node_pair[0], node_pair[1], groups)\n",
    "            network.append([p_idx, node_pair[0], node_pair[1], weight[1]])\n",
    "    p_idx += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7ac22a57-a9a6-4c46-9eb4-e8cbb7f65d38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>p_idx</th>\n",
       "      <th>source</th>\n",
       "      <th>target</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>53</td>\n",
       "      <td>Johann Christian Hoffmann</td>\n",
       "      <td>Marianne von Ziegler</td>\n",
       "      <td>0.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>9</td>\n",
       "      <td>Bruhns</td>\n",
       "      <td>Froberger</td>\n",
       "      <td>0.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>81</td>\n",
       "      <td>Pachelbel</td>\n",
       "      <td>Kerl</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>64</td>\n",
       "      <td>Carl Philipp Emanuel Bach</td>\n",
       "      <td>Johann Sebastian Bach</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>57</td>\n",
       "      <td>Haussmann</td>\n",
       "      <td>Johann Sebastian Bach</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>14</td>\n",
       "      <td>Johann Sebastian Bach</td>\n",
       "      <td>Handel</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>9</td>\n",
       "      <td>Pachelbel</td>\n",
       "      <td>Fischer</td>\n",
       "      <td>0.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9</td>\n",
       "      <td>Bruhns</td>\n",
       "      <td>Böhm</td>\n",
       "      <td>0.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Johann Michael Bach</td>\n",
       "      <td>Carl Philipp Emanuel Bach</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>81</td>\n",
       "      <td>Bruhns</td>\n",
       "      <td>Buxtehude</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     p_idx                     source                     target  weight\n",
       "69      53  Johann Christian Hoffmann       Marianne von Ziegler    0.67\n",
       "22       9                     Bruhns                  Froberger    0.29\n",
       "117     81                  Pachelbel                       Kerl    0.25\n",
       "109     64  Carl Philipp Emanuel Bach      Johann Sebastian Bach    1.00\n",
       "105     57                  Haussmann      Johann Sebastian Bach    1.00\n",
       "45      14      Johann Sebastian Bach                     Handel    1.00\n",
       "14       9                  Pachelbel                    Fischer    0.29\n",
       "17       9                     Bruhns                       Böhm    0.29\n",
       "3        4        Johann Michael Bach  Carl Philipp Emanuel Bach    1.00\n",
       "124     81                     Bruhns                  Buxtehude    0.25"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.DataFrame(network, columns=['p_idx', 'source', 'target', 'weight']).round(2)\n",
    "df.sample(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73782792-e8a0-4e95-b17c-180972027257",
   "metadata": {},
   "source": [
    "## Paragraphの出力"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "64d0ac75-72c6-4737-a29e-97834eb51259",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[0, []], [1, [[100, 104]]], [2, [[0, 9]]]]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[[key, spans_in_paragraph[key]] for key in list(spans_in_paragraph.keys())[:3]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "28aa2439-be08-48e6-a728-525abb1dcf24",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('../docs/paragraphs.js', 'w', encoding='utf-8') as f:\n",
    "    f.write(f'var paragraphs = {paragraphs};\\n\\nvar spans = {spans_in_paragraph};')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09ecd501-0228-43a9-b5a4-dcd9cf7e404f",
   "metadata": {},
   "source": [
    "## node - edge - node ペアでアルファベット順に source と target を並び替え"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3b27385c-853f-4e63-8e43-b6977bf3f156",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>p_idx</th>\n",
       "      <th>source</th>\n",
       "      <th>target</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>81</td>\n",
       "      <td>Fischer</td>\n",
       "      <td>Kerl</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>48</td>\n",
       "      <td>Johann Matthias Gesner</td>\n",
       "      <td>Johann Sebastian Bach</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>119</td>\n",
       "      <td>Carl Philipp Emanuel Bach</td>\n",
       "      <td>Johann Sebastian Bach</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>81</td>\n",
       "      <td>Buxtehude</td>\n",
       "      <td>Johann Sebastian Bach</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>130</td>\n",
       "      <td>Hasse</td>\n",
       "      <td>Reinhard Keiser</td>\n",
       "      <td>0.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>55</td>\n",
       "      <td>Fritz Volbach</td>\n",
       "      <td>Peters</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>137</td>\n",
       "      <td>Johann G. Schübler</td>\n",
       "      <td>Wilhelm Friedemann Bach</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>81</td>\n",
       "      <td>Bruhns</td>\n",
       "      <td>Böhm</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>9</td>\n",
       "      <td>Böhm</td>\n",
       "      <td>Johann Caspar Kerl</td>\n",
       "      <td>0.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>53</td>\n",
       "      <td>Johann Christian Hoffmann</td>\n",
       "      <td>Marianne von Ziegler</td>\n",
       "      <td>0.67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     p_idx                     source                   target  weight\n",
       "151     81                    Fischer                     Kerl    0.25\n",
       "59      48     Johann Matthias Gesner    Johann Sebastian Bach    1.00\n",
       "167    119  Carl Philipp Emanuel Bach    Johann Sebastian Bach    1.00\n",
       "150     81                  Buxtehude    Johann Sebastian Bach    1.00\n",
       "171    130                      Hasse          Reinhard Keiser    0.67\n",
       "75      55              Fritz Volbach                   Peters    1.00\n",
       "187    137         Johann G. Schübler  Wilhelm Friedemann Bach    1.00\n",
       "121     81                     Bruhns                     Böhm    0.25\n",
       "25       9                       Böhm       Johann Caspar Kerl    0.29\n",
       "69      53  Johann Christian Hoffmann     Marianne von Ziegler    0.67"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def swap(row):\n",
    "    if row.source > row.target:  # target is lphabetically before source\n",
    "        source = row.source\n",
    "        row.source = row.target\n",
    "        row.target = source\n",
    "    return row\n",
    "\n",
    "df = df.apply(swap, axis=1)\n",
    "df.sample(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22049af2-931a-4452-b9d5-bcb061e80fdc",
   "metadata": {},
   "source": [
    "## source - target でグループ化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "da262abf-bfa2-4604-851b-986376907607",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>source</th>\n",
       "      <th>target</th>\n",
       "      <th>p_idx</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Georg Philipp Telemann</td>\n",
       "      <td>Görner</td>\n",
       "      <td>[27]</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Görner</td>\n",
       "      <td>Johann Gottlieb Görner</td>\n",
       "      <td>[27]</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Carl Philipp Emanuel Bach</td>\n",
       "      <td>Regine Susanna Bach</td>\n",
       "      <td>[56]</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bruhns</td>\n",
       "      <td>Froberger</td>\n",
       "      <td>[9, 81]</td>\n",
       "      <td>0.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>Kerl</td>\n",
       "      <td>Pachelbel</td>\n",
       "      <td>[81]</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Johann Bernhard Bach</td>\n",
       "      <td>Johann Christoph Bach</td>\n",
       "      <td>[4]</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Fritz Volbach</td>\n",
       "      <td>Johann Sebastian Bach</td>\n",
       "      <td>[55]</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Johann Heinrich Ernesti</td>\n",
       "      <td>Johann Sebastian Bach</td>\n",
       "      <td>[39]</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>Johann Christian Hoffmann</td>\n",
       "      <td>Johann Sebastian Bach</td>\n",
       "      <td>[53]</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Johann Abraham Birnbaum</td>\n",
       "      <td>Johann Sebastian Bach</td>\n",
       "      <td>[53]</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        source                  target    p_idx  weight\n",
       "78      Georg Philipp Telemann                  Görner     [27]    1.00\n",
       "81                      Görner  Johann Gottlieb Görner     [27]    1.00\n",
       "49   Carl Philipp Emanuel Bach     Regine Susanna Bach     [56]    1.00\n",
       "15                      Bruhns               Froberger  [9, 81]    0.54\n",
       "132                       Kerl               Pachelbel     [81]    0.25\n",
       "103       Johann Bernhard Bach   Johann Christoph Bach      [4]    1.00\n",
       "70               Fritz Volbach   Johann Sebastian Bach     [55]    1.00\n",
       "119    Johann Heinrich Ernesti   Johann Sebastian Bach     [39]    1.00\n",
       "108  Johann Christian Hoffmann   Johann Sebastian Bach     [53]    1.00\n",
       "99     Johann Abraham Birnbaum   Johann Sebastian Bach     [53]    1.00"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "relationships_df = df.reset_index().groupby(['source', 'target'])[['p_idx', 'weight']].agg(list)\n",
    "relationships_df['weight'] = relationships_df['weight'].apply(sum)\n",
    "relationships_df = relationships_df.reset_index()\n",
    "relationships_df.sample(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97db7aa0-da4e-4122-88cd-26bc39e2f4bf",
   "metadata": {},
   "source": [
    "## networkxで関係図を描画"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "680fb3bd-9628-496a-9d78-17f1c2a130bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "G = nx.from_pandas_edgelist(relationships_df,\n",
    "                            source = 'source',\n",
    "                            target = 'target',\n",
    "                            edge_attr = ['weight', 'p_idx'],\n",
    "                            create_using=nx.Graph())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "97c9bb43-6908-4774-a89c-55efbd290662",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "pos = nx.kamada_kawai_layout(G)\n",
    "nx.draw(G, ax=ax, with_labels=True, node_color='skyblue', edge_cmap=plt.cm.Blues, pos=pos)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9161cbf-6749-4153-9df3-cc62c10bb5fe",
   "metadata": {},
   "source": [
    "## pyvisで関係図を描画"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "33464e38-3c3f-4fa2-ac5f-859a7c3a822a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bach.html\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"1000px\"\n",
       "            height=\"700px\"\n",
       "            src=\"bach.html\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x2cecbaed0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyvis.network import Network\n",
    "net = Network(notebook=True, width='1000px', height='700px', bgcolor='#222222', font_color='white', cdn_resources='in_line')\n",
    "\n",
    "node_degree = dict(G.degree)\n",
    "nx.set_node_attributes(G, node_degree, 'size')\n",
    "\n",
    "net.from_nx(G, edge_scaling=True, show_edge_weights=True)\n",
    "net.show('bach.html')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffa9f18a-0d7d-48c6-af44-3990c08ce3f7",
   "metadata": {},
   "source": [
    "## Centrality"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f29ece90-0ee0-4c17-9d73-77eab74c9a6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "degree_dict = nx.degree_centrality(G)\n",
    "degree_df = pd.DataFrame.from_dict(degree_dict, orient='index', columns=['centrality'])\n",
    "degree_df.sort_values('centrality', ascending=False)[:10].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a26dc731-a8ab-4cf6-99b3-b5d0cc63948b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "betweenness_dict = nx.betweenness_centrality(G)\n",
    "betweenness_df = pd.DataFrame.from_dict(betweenness_dict, orient='index', columns=['centrality'])\n",
    "betweenness_df.sort_values('centrality', ascending=False)[:10].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fd799bc6-5f67-4c50-a174-874d7656b22f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "closeness_dict = nx.closeness_centrality(G)\n",
    "closeness_df = pd.DataFrame.from_dict(closeness_dict, orient='index', columns=['centrality'])\n",
    "closeness_df.sort_values('centrality', ascending=False)[:10].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f42fff4-f939-4403-810f-e691faad642b",
   "metadata": {},
   "source": [
    "## Community検出"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a77b6fc5-d6ee-4289-b049-a6db03b9905d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bach_communities.html\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"1000px\"\n",
       "            height=\"700px\"\n",
       "            src=\"bach_communities.html\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x2cf09c310>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from community import community_louvain\n",
    "\n",
    "communities = community_louvain.best_partition(G)\n",
    "MAX_COMMUNITY_IDX = max(communities.values())\n",
    "\n",
    "nx.set_node_attributes(G, communities, 'group')\n",
    "\n",
    "com_net = Network(notebook = True, width=\"1000px\", height=\"700px\", bgcolor='#222222', font_color='white', cdn_resources='in_line')\n",
    "com_net.from_nx(G)\n",
    "com_net.show_buttons(filter_=['physics'])\n",
    "com_net.show(\"bach_communities.html\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17182d2c-c1d2-46be-b352-a83a11dafc7d",
   "metadata": {},
   "source": [
    "## Community 向け HTML Colorリスト生成関数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c7ba6b66-1376-4d9f-805b-5e67e7aca33a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import random\n",
    "\n",
    "def html_colors(max_group_index, cmap='rainbow'):\n",
    "\n",
    "    def rgb2hex(cmap_color):\n",
    "        r = int(cmap_color[0]*255)\n",
    "        g = int(cmap_color[1]*255)\n",
    "        b = int(cmap_color[2]*255)\n",
    "        return \"#{:02x}{:02x}{:02x}\".format(r,g,b)\n",
    "    \n",
    "    cmap_idx = [i / max_group_index for i in range(0, max_group_index + 1 )]\n",
    "    random.shuffle(cmap_idx)\n",
    "    return [rgb2hex(plt.get_cmap(cmap)(i)) for i in cmap_idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d2e7365d-1def-421e-91a3-8b41273d0ec0",
   "metadata": {},
   "outputs": [],
   "source": [
    "colors = html_colors(MAX_COMMUNITY_IDX, 'Pastel1')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f153f0b-f85b-4f09-9572-c63e832489e2",
   "metadata": {},
   "source": [
    "## graphology.js向けにデータ出力"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4cebdf23-f103-4fa7-95e2-81a2e5fe2009",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'key': 'Anna Magdalena Bach',\n",
       "  'attributes': {'value': 6, 'group': 0, 'color': '#ccebc5'}},\n",
       " {'key': 'Beethoven',\n",
       "  'attributes': {'value': 6, 'group': 0, 'color': '#ccebc5'}},\n",
       " {'key': 'Carl Philipp Emanuel Bach',\n",
       "  'attributes': {'value': 12, 'group': 0, 'color': '#ccebc5'}},\n",
       " {'key': 'Johann Christoph Friedrich',\n",
       "  'attributes': {'value': 6, 'group': 0, 'color': '#ccebc5'}},\n",
       " {'key': 'Johann Sebastian Bach',\n",
       "  'attributes': {'value': 40, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Regine Susanna Bach',\n",
       "  'attributes': {'value': 6, 'group': 0, 'color': '#ccebc5'}},\n",
       " {'key': 'Wilhelm Friedemann Bach',\n",
       "  'attributes': {'value': 10, 'group': 0, 'color': '#ccebc5'}},\n",
       " {'key': 'Bruhns',\n",
       "  'attributes': {'value': 11, 'group': 2, 'color': '#fed9a6'}},\n",
       " {'key': 'Buxtehude',\n",
       "  'attributes': {'value': 11, 'group': 2, 'color': '#fed9a6'}},\n",
       " {'key': 'Böhm', 'attributes': {'value': 11, 'group': 2, 'color': '#fed9a6'}},\n",
       " {'key': 'Fischer',\n",
       "  'attributes': {'value': 11, 'group': 2, 'color': '#fed9a6'}},\n",
       " {'key': 'Frescobaldi',\n",
       "  'attributes': {'value': 9, 'group': 2, 'color': '#fed9a6'}},\n",
       " {'key': 'Froberger',\n",
       "  'attributes': {'value': 11, 'group': 2, 'color': '#fed9a6'}},\n",
       " {'key': 'Johann Caspar Kerl',\n",
       "  'attributes': {'value': 8, 'group': 2, 'color': '#fed9a6'}},\n",
       " {'key': 'Johann Christoph Bach',\n",
       "  'attributes': {'value': 12, 'group': 3, 'color': '#f2f2f2'}},\n",
       " {'key': 'Kerl', 'attributes': {'value': 9, 'group': 2, 'color': '#fed9a6'}},\n",
       " {'key': 'Pachelbel',\n",
       "  'attributes': {'value': 11, 'group': 2, 'color': '#fed9a6'}},\n",
       " {'key': 'Vivaldi',\n",
       "  'attributes': {'value': 9, 'group': 2, 'color': '#fed9a6'}},\n",
       " {'key': 'Couperin',\n",
       "  'attributes': {'value': 2, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Handel', 'attributes': {'value': 5, 'group': 0, 'color': '#ccebc5'}},\n",
       " {'key': 'Johann Bernhard Bach',\n",
       "  'attributes': {'value': 3, 'group': 3, 'color': '#f2f2f2'}},\n",
       " {'key': 'Johann G. Schübler',\n",
       "  'attributes': {'value': 3, 'group': 0, 'color': '#ccebc5'}},\n",
       " {'key': 'Johann Michael Bach',\n",
       "  'attributes': {'value': 3, 'group': 3, 'color': '#f2f2f2'}},\n",
       " {'key': 'Elias Gottlieb Haussmann',\n",
       "  'attributes': {'value': 4, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Fritz Volbach',\n",
       "  'attributes': {'value': 4, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Haussmann',\n",
       "  'attributes': {'value': 4, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Peters', 'attributes': {'value': 4, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Georg Philipp Telemann',\n",
       "  'attributes': {'value': 3, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Görner', 'attributes': {'value': 3, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Johann Gottlieb Görner',\n",
       "  'attributes': {'value': 3, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Hasse', 'attributes': {'value': 4, 'group': 0, 'color': '#ccebc5'}},\n",
       " {'key': 'Reinhard Keiser',\n",
       "  'attributes': {'value': 4, 'group': 0, 'color': '#ccebc5'}},\n",
       " {'key': 'Hoffmeister',\n",
       "  'attributes': {'value': 2, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Kühnel', 'attributes': {'value': 2, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'J. C. Gottsched',\n",
       "  'attributes': {'value': 4, 'group': 4, 'color': '#fbb4ae'}},\n",
       " {'key': 'Johann Abraham Birnbaum',\n",
       "  'attributes': {'value': 4, 'group': 4, 'color': '#fbb4ae'}},\n",
       " {'key': 'Johann Christian Hoffmann',\n",
       "  'attributes': {'value': 4, 'group': 4, 'color': '#fbb4ae'}},\n",
       " {'key': 'Marianne von Ziegler',\n",
       "  'attributes': {'value': 4, 'group': 4, 'color': '#fbb4ae'}},\n",
       " {'key': 'Johann Ambrosius Bach',\n",
       "  'attributes': {'value': 2, 'group': 3, 'color': '#f2f2f2'}},\n",
       " {'key': 'Johann Heinrich Ernesti',\n",
       "  'attributes': {'value': 1, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Johann Matthias Gesner',\n",
       "  'attributes': {'value': 1, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Maria Amalia',\n",
       "  'attributes': {'value': 2, 'group': 1, 'color': '#e5d8bd'}},\n",
       " {'key': 'Müller', 'attributes': {'value': 2, 'group': 1, 'color': '#e5d8bd'}}]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nodes = []\n",
    "for node in G.nodes.data(data=True):\n",
    "    value = node[1]['size']\n",
    "    group = node[1]['group']\n",
    "    color = colors[group]\n",
    "    nodes.append({'key': node[0], 'attributes': {'value': value, 'group': group, 'color': color}})\n",
    "nodes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2605f00b-328f-4109-9d37-e6916c3b16e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'key': 'Anna Magdalena Bach:Beethoven',\n",
       "  'source': 'Anna Magdalena Bach',\n",
       "  'target': 'Beethoven',\n",
       "  'attributes': {'value': 1.0, 'pIdx': [56]}},\n",
       " {'key': 'Anna Magdalena Bach:Carl Philipp Emanuel Bach',\n",
       "  'source': 'Anna Magdalena Bach',\n",
       "  'target': 'Carl Philipp Emanuel Bach',\n",
       "  'attributes': {'value': 1.0, 'pIdx': [56]}},\n",
       " {'key': 'Anna Magdalena Bach:Johann Christoph Friedrich',\n",
       "  'source': 'Anna Magdalena Bach',\n",
       "  'target': 'Johann Christoph Friedrich',\n",
       "  'attributes': {'value': 1.0, 'pIdx': [56]}},\n",
       " {'key': 'Anna Magdalena Bach:Johann Sebastian Bach',\n",
       "  'source': 'Anna Magdalena Bach',\n",
       "  'target': 'Johann Sebastian Bach',\n",
       "  'attributes': {'value': 3.0, 'pIdx': [36, 38, 56]}},\n",
       " {'key': 'Anna Magdalena Bach:Regine Susanna Bach',\n",
       "  'source': 'Anna Magdalena Bach',\n",
       "  'target': 'Regine Susanna Bach',\n",
       "  'attributes': {'value': 1.0, 'pIdx': [56]}},\n",
       " {'key': 'Anna Magdalena Bach:Wilhelm Friedemann Bach',\n",
       "  'source': 'Anna Magdalena Bach',\n",
       "  'target': 'Wilhelm Friedemann Bach',\n",
       "  'attributes': {'value': 1.0, 'pIdx': [56]}},\n",
       " {'key': 'Beethoven:Carl Philipp Emanuel Bach',\n",
       "  'source': 'Beethoven',\n",
       "  'target': 'Carl Philipp Emanuel Bach',\n",
       "  'attributes': {'value': 1.0, 'pIdx': [56]}},\n",
       " {'key': 'Beethoven:Johann Christoph Friedrich',\n",
       "  'source': 'Beethoven',\n",
       "  'target': 'Johann Christoph Friedrich',\n",
       "  'attributes': {'value': 1.0, 'pIdx': [56]}},\n",
       " {'key': 'Beethoven:Johann Sebastian Bach',\n",
       "  'source': 'Beethoven',\n",
       "  'target': 'Johann Sebastian Bach',\n",
       "  'attributes': {'value': 1.0, 'pIdx': [56]}},\n",
       " {'key': 'Beethoven:Regine Susanna Bach',\n",
       "  'source': 'Beethoven',\n",
       "  'target': 'Regine Susanna Bach',\n",
       "  'attributes': {'value': 1.0, 'pIdx': [56]}}]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edges = []\n",
    "for edge in G.edges.data(data=True):\n",
    "    source = edge[0]\n",
    "    target = edge[1]\n",
    "    value = edge[2]['value']\n",
    "    p_idxs = edge[2]['p_idx']\n",
    "    edges.append({'key': f'{source}:{target}','source': source, 'target': target, 'attributes': {'value': value, 'pIdx': p_idxs}})\n",
    "edges[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "966bbba4-9603-4eb8-b8ce-a266f93148a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('../docs/graph_data.js', 'w', encoding='utf-8') as f:\n",
    "    f.write(f'var nodes = {nodes};\\n\\nvar edges = {edges};')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b28ab97f-6f90-4d2b-ab65-a4fbb2b5742f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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