{ "cells": [ { "cell_type": "code", "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2018-02-10T21:56:20.473230Z", "start_time": "2018-02-10T21:56:20.367985Z" }, "collapsed": false }, "outputs": [ { "data": { "text/html": [ "" ], "text/vnd.plotly.v1+html": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#a bunch of import statements for the functions we'll be using\n", "from sklearn.cluster import KMeans, AgglomerativeClustering\n", "from scipy.cluster.hierarchy import dendrogram, linkage\n", "from sklearn.feature_selection import SelectKBest\n", "from sklearn.feature_extraction.text import CountVectorizer\n", "from sklearn.metrics import pairwise\n", "from sklearn.manifold import MDS\n", "\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "\n", "import seaborn as sns\n", "import plotly.offline as py\n", "import plotly.graph_objs as go\n", "py.init_notebook_mode()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2018-02-10T21:56:20.985206Z", "start_time": "2018-02-10T21:56:20.475262Z" }, "collapsed": false, "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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c.4.12.2A hymn to Martu (Martu B)A hymn to Martu (Martu
c.4.12.1A šir-gida to Martu (Martu A)A šir-gida to Martu (Ma
c.4.29.1A šir-gida to Nuska (Nuska A)A šir-gida to Nuska (Nu
c.4.29.2A šir-gida to Nuska (Nuska B)A šir-gida to Nuska (Nu
c.4.08.31A balbale to Inana (Dumuzid-Inana E1)A balbale to Inana (Dum
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hymn to Martu (Martu \n", "c.4.12.1 A šir-gida to Martu (Ma\n", "c.4.29.1 A šir-gida to Nuska (Nu\n", "c.4.29.2 A šir-gida to Nuska (Nu\n", "c.4.08.31 A balbale to Inana (Dum\n", "Name: display title, dtype: object" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "labels = names[\"display title\"]\n", "fulltitles = names[\"Full title\"]\n", "labels.head()" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "ExecuteTime": { "end_time": "2018-02-10T21:56:21.188219Z", "start_time": "2018-02-10T21:56:21.169668Z" }, "collapsed": true }, "outputs": [], "source": [ "cluster_0 = ['c.1.4.1.3', 'c.2.4.1.7', 'c.2.4.2.14', 'c.2.4.2.26', 'c.2.4.4.1', 'c.2.4.4.2', 'c.2.4.4.3', 'c.4.07.6', 'c.4.07.7', 'c.4.07.8', 'c.4.07.9', 'c.4.08.01', 'c.4.08.02', 'c.4.08.03', 'c.4.08.04', 'c.4.08.05', 'c.4.08.07', 'c.4.08.08', 'c.4.08.18', 'c.4.08.25', 'c.4.08.26', 'c.4.08.28', 'c.4.08.29', 'c.4.08.30', 'c.4.08.32', 'c.4.08.33', 'c.4.13.02', 'c.4.22.2', 'c.5.5.5']\n", "cluster_1 = ['c.0.1.2', 'c.0.2.01', 'c.0.2.02', 'c.0.2.03', 'c.0.2.04', 'c.0.2.06', 'c.0.2.11', 'c.0.2.13', 'c.1.6.1', 'c.1.6.2', 'c.1.6.3', 'c.2.4.2.20', 'c.2.4.4.4', 'c.2.5.4.15', 'c.2.5.7.1', 'c.4.27.01', 'c.4.27.02', 'c.4.27.03', 'c.4.27.04', 'c.4.27.07', 'c.4.80.2', 'c.5.5.4']\n", "cluster_2 = ['c.1.3.1', 'c.1.3.2', 'c.1.3.3', 'c.1.3.4', 'c.1.3.5', 'c.1.4.1', 'c.1.4.4', 'c.1.8.1.2', 'c.1.8.2.3', 'c.2.1.6', 'c.2.4.2.24', 'c.2.4.2.a', 'c.2.5.1.3', 'c.2.5.3.1', 'c.2.5.4.10', 'c.2.5.4.11', 'c.2.5.6.4', 'c.2.6.9.8', 'c.2.7.1.1', 'c.2.8.2.6', 'c.2.8.3.1', 'c.3.3.01', 'c.3.3.10', 'c.4.07.1', 'c.4.07.2', 'c.4.07.3', 'c.4.07.4', 'c.4.07.5', 'c.4.07.a', 'c.4.08.06', 'c.4.08.09', 'c.4.08.10', 'c.4.08.16', 'c.4.08.20', 'c.4.08.a', 'c.4.19.3', 'c.4.33.2']\n", "cluster_3 = ['c.1.1.3', 'c.1.1.4', 'c.2.1.7', 'c.2.3.1', 'c.2.3.2', 'c.2.4.1.2', 'c.2.4.1.3', 'c.2.4.1.5', 'c.2.4.1.6', 'c.2.4.1.a', 'c.2.4.2.01', 'c.2.4.2.03', 'c.2.4.2.04', 'c.2.4.2.05', 'c.2.4.2.07', 'c.2.4.2.15', 'c.2.4.2.16', 'c.2.4.2.17', 'c.2.4.2.18', 'c.2.4.2.21', 'c.2.4.2.22', 'c.2.4.2.25', 'c.2.4.4.a', 'c.2.4.5.2', 'c.2.5.1.4', 'c.2.5.2.1', 'c.2.5.3.2', 'c.2.5.3.4', 'c.2.5.4.01', 'c.2.5.4.02', 'c.2.5.4.03', 'c.2.5.4.04', 'c.2.5.4.05', 'c.2.5.4.08', 'c.2.5.4.09', 'c.2.5.4.13', 'c.2.5.4.17', 'c.2.5.4.19', 'c.2.5.4.21', 'c.2.5.4.23', 'c.2.5.4.24', 'c.2.5.4.27', 'c.2.5.4.29', 'c.2.5.4.b', 'c.2.5.5.1', 'c.2.5.5.2', 'c.2.5.5.3', 'c.2.5.5.4', 'c.2.5.5.5', 'c.2.5.6.1', 'c.2.5.6.2', 'c.2.5.6.3', 'c.2.5.6.5', 'c.2.5.6.6', 'c.2.5.7.2', 'c.2.5.8.1', 'c.2.6.6.1', 'c.2.6.6.5', 'c.2.6.7.1', 'c.2.6.9.1', 'c.2.6.9.2', 'c.2.6.9.3', 'c.2.6.9.4', 'c.2.6.9.5', 'c.2.6.9.6', 'c.2.6.9.7', 'c.2.8.2.2', 'c.2.8.2.4', 'c.2.8.3.2', 'c.2.8.3.3', 'c.2.8.3.5', 'c.2.8.3.6', 'c.2.8.5.1', 'c.3.3.21', 'c.4.01.1', 'c.4.02.1', 'c.4.03.1', 'c.4.05.1', 'c.4.12.1', 'c.4.12.2', 'c.4.14.1', 'c.4.15.2', 'c.4.15.3', 'c.4.16.1', 'c.4.19.1', 'c.4.21.1', 'c.4.22.1', 'c.4.22.4', 'c.4.22.5', 'c.4.22.6', 'c.4.24.1', 'c.4.25.1', 'c.4.25.2', 'c.4.26.1', 'c.4.27.06', 'c.4.28.1', 'c.4.29.1', 'c.4.29.2', 'c.4.31.1', 'c.4.33.1', 'c.4.80.1', 'c.4.80.4', 'c.5.3.7']\n", "cluster_4 = ['c.0.1.1', 'c.1.7.6', 'c.1.7.7', 'c.2.5.1.2', 'c.3.1.01', 'c.3.1.02', 'c.3.1.03', 'c.3.1.04', 'c.3.1.05', 'c.3.1.06', 'c.3.1.06.1', 'c.3.1.07', 'c.3.1.08', 'c.3.1.11', 'c.3.1.11.1', 'c.3.1.13.2', 'c.3.1.15', 'c.3.1.16', 'c.3.1.17', 'c.3.1.18', 'c.3.1.19', 'c.3.1.20', 'c.3.1.21', 'c.3.2.02', 'c.3.2.03', 'c.3.2.04', 'c.3.3.04', 'c.3.3.05', 'c.3.3.08', 'c.3.3.09', 'c.3.3.11', 'c.4.08.23', 'c.4.08.31', 'c.5.3.1', 'c.5.6.3', 'c.5.6.5', 'c.6.1.18', 'c.6.1.21']\n", "cluster_5 = ['c.2.4.2.b', 'c.2.4.4.6', 'c.2.4.5.1', 'c.2.4.5.3', 'c.2.4.5.4', 'c.2.4.5.5', 'c.2.5.3.3', 'c.2.6.2.1', 'c.2.6.2.a', 'c.2.8.2.3', 'c.3.3.22', 'c.4.13.01', 'c.4.13.03', 'c.4.13.04', 'c.4.13.05', 'c.4.13.07', 'c.4.13.08', 'c.4.13.09', 'c.4.13.10', 'c.4.13.11', 'c.4.13.12', 'c.4.13.13', 'c.4.13.14', 'c.4.13.15', 'c.4.13.a', 'c.4.13.c', 'c.4.17.1']\n", "cluster_6 = ['c.0.2.07', 'c.0.2.08', 'c.1.1.1', 'c.1.1.2', 'c.1.2.1', 'c.1.2.2', 'c.1.4.1.1', 'c.1.4.3', 'c.1.5.1', 'c.1.7.1', 'c.1.7.3', 'c.1.7.4', 'c.1.7.8', 'c.1.8.1.1', 'c.1.8.1.3', 'c.1.8.1.4', 'c.1.8.1.5', 'c.1.8.1.5.1', 'c.1.8.2.1', 'c.1.8.2.2', 'c.1.8.2.4', 'c.2.1.1', 'c.2.1.2', 'c.2.1.3', 'c.2.1.4', 'c.2.1.5', 'c.2.2.2', 'c.2.2.3', 'c.2.2.4', 'c.2.2.5', 'c.2.2.6', 'c.2.4.1.1', 'c.2.4.1.4', 'c.2.4.2.02', 'c.2.4.3.1', 'c.2.5.4.a', 'c.2.8.2.1', 'c.2.8.5.a', 'c.2.8.5.b', 'c.3.2.05', 'c.3.3.02', 'c.3.3.03', 'c.3.3.39', 'c.4.06.1', 'c.4.08.15', 'c.4.13.06', 'c.4.14.2', 'c.4.14.3', 'c.4.16.2', 'c.4.19.2', 'c.4.23.1', 'c.4.32.2', 'c.4.32.e', 'c.4.32.f', 'c.5.1.3', 'c.5.2.4', 'c.5.2.5', 'c.5.3.2', 'c.5.3.3', 'c.5.3.5', 'c.5.3.6', 'c.5.4.11', 'c.5.4.12', 'c.5.5.1', 'c.5.5.2', 'c.5.5.3', 'c.5.5.a', 'c.5.6.1', 'c.5.7.1', 'c.5.7.2', 'c.5.9.1', 'c.5.9.2', 'c.6.1.01', 'c.6.1.02', 'c.6.1.03', 'c.6.1.04', 'c.6.1.05', 'c.6.1.07', 'c.6.1.08', 'c.6.1.09', 'c.6.1.10', 'c.6.1.11', 'c.6.1.12', 'c.6.1.13', 'c.6.1.14', 'c.6.1.15', 'c.6.1.16', 'c.6.1.17', 'c.6.1.19', 'c.6.1.22', 'c.6.1.23', 'c.6.1.24', 'c.6.1.25', 'c.6.1.26', 'c.6.1.27', 'c.6.1.28', 'c.6.2.1', 'c.6.2.2', 'c.6.2.3', 'c.6.2.5']" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "ExecuteTime": { "end_time": "2018-02-10T21:56:21.193732Z", "start_time": "2018-02-10T21:56:21.190223Z" }, "collapsed": true }, "outputs": [], "source": [ "clusters = [cluster_0, cluster_1, cluster_2, cluster_3, cluster_4, cluster_5, cluster_6]" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "ExecuteTime": { "end_time": "2018-02-10T21:56:21.199247Z", "start_time": "2018-02-10T21:56:21.195738Z" }, "collapsed": true }, "outputs": [], "source": [ "dict_color_cluster = { #define unique color for every cluster\n", " 0: '#2c4ff9', #dark blue\n", " 1: '#db0f12', #red\n", " 2: '#000000', #black\n", " 3: '#3FB230', #green\n", " 4: '#ff54f9', #pink\n", " 5: '#630AFF', #purple\n", " 6: '#F5770D' #orange \n", "}" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 32, "metadata": { "ExecuteTime": { "end_time": "2018-02-10T21:56:23.103373Z", "start_time": "2018-02-10T21:56:21.200751Z" }, "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([[ 0.0159024 , -0.79343975],\n", " [ 0.30929124, 0.57779201],\n", " [ 0.38502259, 0.56296131],\n", " [ 0.40198954, 0.52788746],\n", " [ 0.5237078 , -0.57985784],\n", " [ 0.42168646, 0.59510261],\n", " [ 0.61032664, -0.23959547],\n", " [ 0.35087112, -0.71002111],\n", " [ 0.36747653, -0.58628854],\n", " [-0.17233303, 0.73485737],\n", " [-0.03194299, 0.64354327],\n", " [-0.21973462, -0.34134486],\n", " [ 0.16484138, -0.38069597],\n", " [ 0.1295834 , -0.02177603],\n", " [ 0.29973343, -0.22286513],\n", " [-0.26703946, -0.42499587],\n", " [ 0.00202544, -0.17056458],\n", " [ 0.06407636, -0.34096429],\n", " [ 0.03637418, -0.11549216],\n", " 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xyclustertitlefulltitle
id_text
c.0.1.10.015902-0.7934404Ur III catalogue from NUr III catalogue from Nibru (N1)
c.0.1.20.3092910.5777921Ur III catalogue at YalUr III catalogue at Yale (Y1)
c.0.2.010.3850230.5629611OB catalogue from NibruOB catalogue from Nibru (N2)
c.0.2.020.4019900.5278871OB catalogue in the LouOB catalogue in the Louvre (L)
c.0.2.030.523708-0.5798581OB catalogue from UrimOB catalogue from Urim (U1)
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" ], "text/plain": [ " x y cluster title \\\n", "id_text \n", "c.0.1.1 0.015902 -0.793440 4 Ur III catalogue from N \n", "c.0.1.2 0.309291 0.577792 1 Ur III catalogue at Yal \n", "c.0.2.01 0.385023 0.562961 1 OB catalogue from Nibru \n", "c.0.2.02 0.401990 0.527887 1 OB catalogue in the Lou \n", "c.0.2.03 0.523708 -0.579858 1 OB catalogue from Urim \n", "\n", " fulltitle \n", "id_text \n", "c.0.1.1 Ur III catalogue from Nibru (N1) \n", "c.0.1.2 Ur III catalogue at Yale (Y1) \n", "c.0.2.01 OB catalogue from Nibru (N2) \n", "c.0.2.02 OB catalogue in the Louvre (L) \n", "c.0.2.03 OB catalogue from Urim (U1) " ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plotdata = pd.DataFrame(embeddings_cluster, columns = [\"x\", \"y\"], index = file.index)\n", "plotdata[\"cluster\"] = [clusterpicker(i) for i in file.index]\n", "plotdata[\"title\"] = [\"???\" if i not in labels else labels[i] for i in file.index]\n", "plotdata[\"fulltitle\"] = [str(i) if i not in fulltitles else fulltitles[i] for i in file.index]\n", "plotdata.head()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "ExecuteTime": { "end_time": "2018-02-10T21:56:23.195619Z", "start_time": "2018-02-10T21:56:23.140974Z" }, "collapsed": false }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "data": [ { "hovertext": [ "Dumuzid and his sisters", "A balbale to Enlil for Ur-Namma (Ur-Namma G)", "A lullaby for a son of Šulgi (Šulgi N)", "A love song of Šulgi (Šulgi Z)", "A balbale to Bau for Šu-Suen (Šu-Suen A)", "A balbale to Inana for Šu-Suen (Šu-Suen B)", "A balbale to Inana for Šu-Suen (Šu-Suen C)", "A balbale (?) to Inana (Inana F)", "A šir-namšub to Inana (Inana G)", "A balbale to Inana as Nanaya (Inana H)", "A šir-namšub to Inana (Inana I)", "A balbale to Inana (Dumuzid-Inana A)", "A balbale to Inana (Dumuzid-Inana B)", "A balbale to Inana (Dumuzid-Inana C)", "A balbale to Inana (Dumuzid-Inana D)", "The song of the lettuce: a balbale to 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