{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import xml.etree.ElementTree as ET\n", "import os\n", "import csv\n", "from collections import OrderedDict\n", "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import csv\n", "import codecs\n", "import pandas as pd\n", "import re\n", "import os\n", "import io\n", "import tokenize\n", "\n", "confronto_data = open('data_lemmi_iperlemmi_thing_id', 'w')\n", "csvwriter = csv.writer(confronto_data)\n", "\n", "params = ['thing', 'sigla', 'lemma', 'n_lemma', 'iperlemma', 'n_iperlemma', 'pos', 'commento', 'id']\n", "\n", "csvwriter.writerow(params)\n", "\n", "def getIdLemma(lemma_unique):\n", " link_file = open('/Users/federicaspinelli/TEAMOVI/Parser/DATA/OVI/CSV/OVI_lemmi_iperlemmi - JOIN LEMMI-IPERLEMMI UNIQUE.csv')\n", " reader = csv.DictReader(link_file)\n", " for row in reader:\n", " if (row['pos'] != 'antr.' and row['pos'] != 'n.g.'):\n", " lemma_all = row['lemma']\n", " iperlemma_all = row['iperlemma']\n", " #id = row['id']\n", " all1 = lemma_unique\n", " all2 = iperlemma_unique\n", " if (lemma_all == all1):\n", " return row['thing']\n", "merge_file = open('/Users/federicaspinelli/TEAMOVI/Parser/DATA/OVI/CSV/OVI_lemmi_iperlemmi_idaspo - data_lemmi_iperlemmi_OVI_IDASPO.csv')\n", "reader = csv.DictReader(merge_file)\n", "\n", "for row in reader:\n", " if (row['pos'] != 'antr.' and row['pos'] != 'n.g.'):\n", " line = []\n", " lemma_unique = row['lemma']\n", " n_lemma = row['n_lemma']\n", " sigla = row['sigla']\n", " pos = row['pos']\n", " iperlemma_unique = row['iperlemma']\n", " n_iperlemma = row['n_iperlemma']\n", " commento = row['commento']\n", " #thing = row['thing']\n", " id = row['id']\n", " corresp = getIdLemma(lemma_unique)\n", " #line.append(thing)\n", " line.append(sigla)\n", " line.append(lemma_unique)\n", " line.append(n_lemma)\n", " line.append(iperlemma_unique)\n", " line.append(n_iperlemma)\n", " line.append(pos)\n", " line.append(commento)\n", " line.append(id)\n", " if corresp is not None:\n", " line.append(corresp)\n", " else:\n", " line.append(\"\")\n", " csvwriter.writerow(line)\n", "\n", "confronto_data.close()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.9.0" } }, "nbformat": 4, "nbformat_minor": 2 }