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Commit 9d49e6c1 authored by sim's avatar sim
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Update notebook: newCorpus usage example

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notebooks/AdvancedTutorial.ipynb
View file @ 9d49e6c1
......@@ -2,10 +2,7 @@
"cells": [
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"metadata": {},
"source": [
"# Advanced Gargantext Tutorial (Python)"
]
......@@ -13,9 +10,7 @@
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
......@@ -25,11 +20,7 @@
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [],
"source": [
"# First import the library Gargantext Notebook\n",
......@@ -41,17 +32,19 @@
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Corpus \"Machine learning\" in project \"Tests\" created\n",
"100 documents downloaded / 105.\n",
"105\n",
"LSTM 1000\n",
"Downloading page 0 to 100 results\n",
"Downloading page 100 to 100 results\n",
"CORPUS #17058\n",
"PARSING\n",
"Loading available PARSERS:\n",
"\t- EuropresseParser\n",
"\t- RISParser\n",
......@@ -64,85 +57,64 @@
"\t- CernParser\n",
"\t- MultivacParser\n",
"\t- HalParser\n",
"\t- IsidoreParser\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Exception ignored in: <bound method Parser.__del__ of <gargantext.util.parsers.HAL.HalParser object at 0x7f8d1d70ad30>>\n",
"Traceback (most recent call last):\n",
" File \"/srv/gargantext/gargantext/util/parsers/_Parser.py\", line 24, in __del__\n",
" self._file.close()\n",
"AttributeError: 'list' object has no attribute 'close'\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"10100 documents downloaded / 105.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Exception ignored in: <bound method Parser.__del__ of <gargantext.util.parsers.HAL.HalParser object at 0x7f8d1d6f1e10>>\n",
"Traceback (most recent call last):\n",
" File \"/srv/gargantext/gargantext/util/parsers/_Parser.py\", line 24, in __del__\n",
" self._file.close()\n",
"AttributeError: 'list' object has no attribute 'close'\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Extracting the ngrams\n",
"CORPUS #300990\n",
"CORPUS #300990: parsed 105\n"
]
},
{
"ename": "KeyError",
"evalue": "'languages'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-3-c08deaa02bf2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mproject\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmyProject_fromUrl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"http://imt.gargantext.org/projects/300535\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mcorpus\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnewCorpus\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mproject\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"Machine learning\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mquery\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"LSTM\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/srv/gargantext/gargantext_notebook.py\u001b[0m in \u001b[0;36mnewCorpus\u001b[0;34m(project, resourceName, name, query)\u001b[0m\n\u001b[1;32m 115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 116\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Extracting the ngrams\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 117\u001b[0;31m \u001b[0mparse_extract_indexhyperdata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcorpus\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 118\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Corpus is ready to explore:\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/home/alexandre/local/logiciels/python/env/3.5_20170123/lib/python3.5/site-packages/celery/local.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *a, **kw)\u001b[0m\n\u001b[1;32m 186\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 187\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 188\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_current_object\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 189\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 190\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__len__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/home/alexandre/local/logiciels/python/env/3.5_20170123/lib/python3.5/site-packages/celery/app/task.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 426\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__self__\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 427\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__self__\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 428\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 429\u001b[0m \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 430\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop_request\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/srv/gargantext/gargantext/util/toolchain/main.py\u001b[0m in \u001b[0;36mparse_extract_indexhyperdata\u001b[0;34m(corpus)\u001b[0m\n\u001b[1;32m 71\u001b[0m \u001b[0mdocs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcorpus\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchildren\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"DOCUMENT\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 72\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'CORPUS #%d: parsed %d'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mcorpus\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdocs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 73\u001b[0;31m \u001b[0mextract_ngrams\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcorpus\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 74\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 75\u001b[0m \u001b[0;31m# Preparing Databse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/srv/gargantext/gargantext/util/toolchain/ngrams_extraction.py\u001b[0m in \u001b[0;36mextract_ngrams\u001b[0;34m(corpus, keys, do_subngrams)\u001b[0m\n\u001b[1;32m 151\u001b[0m \u001b[0mcorpus\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Ngrams'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 152\u001b[0m \u001b[0mcorpus\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave_hyperdata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 153\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 154\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 155\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/srv/gargantext/gargantext/util/toolchain/ngrams_extraction.py\u001b[0m in \u001b[0;36mextract_ngrams\u001b[0;34m(corpus, keys, do_subngrams)\u001b[0m\n\u001b[1;32m 54\u001b[0m \u001b[0;31m#load available taggers for default langage of plateform\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[0;31m#print(LANGUAGES.keys())\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 56\u001b[0;31m tagger_bots = {lang: load_tagger(lang) for lang in corpus.hyperdata[\"languages\"] \\\n\u001b[0m\u001b[1;32m 57\u001b[0m if lang != \"__unknown__\"}\n\u001b[1;32m 58\u001b[0m \u001b[0mtagger_bots\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"__unknown__\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mload_tagger\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"en\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyError\u001b[0m: 'languages'"
"\t- IsidoreParser\n",
"0 docs skipped\n",
"105 parsed\n",
"#MAIN language of the CORPUS __unknown__\n",
"CORPUS #17058: parsed 105\n",
"INTEGRATE\n",
"INTEGRATE\n",
"CORPUS #17058: extracted ngrams\n",
"CORPUS #17058: indexed hyperdata\n",
"CORPUS #17058: [2017-08-11_11:21:18] new favorites node #17164\n",
"CORPUS #17058: [2017-08-11_11:21:18] starting ngram lists computation\n",
"CORPUS #17058: [2017-08-11_11:21:18] new stoplist node #17165\n",
"# STEMMERS LOADED {'__unknown__': <nltk.stem.snowball.SnowballStemmer object at 0x7fb811588e48>}\n",
"#SUPPORTED STEMMERS LANGS []\n",
"CORPUS #17058: [2017-08-11_11:21:20] new grouplist node #17166\n",
"CORPUS #17058: [2017-08-11_11:21:20] new occs node #17167\n",
"compute_ti_ranking\n",
"2017-08-11_11:21:20 : Starting Query tf_nd_query\n",
"2017-08-11_11:21:21 : End Query tf_nd_quer\n",
"2017-08-11_11:21:21 : tfidfsum\n",
"CORPUS #17058: [2017-08-11_11:21:21] new ti ranking node #17168\n",
"MAINLIST: keeping 2908 ngrams out of 3878\n",
"CORPUS #17058: [2017-08-11_11:21:21] new mainlist node #17169\n",
"Compute TFIDF local\n",
"CORPUS #17058: [2017-08-11_11:21:22] new localtfidf node #17170\n",
"COOCS: NEW matrix shape [220x807]\n",
"CORPUS #17058: [2017-08-11_11:21:23] computed mainlist coocs for specif rank\n",
"SPECIFICITY: computing on 154 ngrams\n",
"CORPUS #17058: [2017-08-11_11:21:23] new spec-clusion node #17171\n",
"CORPUS #17058: [2017-08-11_11:21:23] new gen-clusion node #17172\n",
"MAPLIST quotas: {'topgen': {'multigrams': 168, 'monograms': 42}, 'topspec': {'multigrams': 112, 'monograms': 28}}\n",
"MAPLIST: top_spec_monograms = 28\n",
"MAPLIST: top_spec_multigrams = 41\n",
"MAPLIST: top_gen_monograms = 42\n",
"MAPLIST: top_gen_multigrams = 0\n",
"MAPLIST: kept 111 ngrams in total \n",
"CORPUS #17058: [2017-08-11_11:21:23] new maplist node #17173\n",
"CORPUS #17058: [2017-08-11_11:21:23] FINISHED ngram lists computation\n"
]
}
],
"source": [
"project = myProject_fromUrl(\"http://imt.gargantext.org/projects/300535\")\n",
"corpus = newCorpus(project, name=\"Machine learning\", query=\"LSTM\")"
"#project = myProject_fromUrl(\"http://imt.gargantext.org/projects/300535\")\n",
"project = myProject_fromUrl(\"http://localhost:8000/projects/2\")\n",
"corpus = newCorpus(project, source=\"hal\", name=\"Machine learning\", query=\"LSTM\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"session.query(Node.hyperdata[\"\"])"
......@@ -151,27 +123,21 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"\n",
......@@ -181,9 +147,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"for doc in new_docs:\n",
......@@ -218,11 +182,7 @@
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [
{
"name": "stdout",
......@@ -244,11 +204,7 @@
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [],
"source": [
"# To get all the documents:\n",
......@@ -258,11 +214,7 @@
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [
{
"data": {
......@@ -284,11 +236,7 @@
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [
{
"data": {
......@@ -309,11 +257,7 @@
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [
{
"data": {
......@@ -334,11 +278,7 @@
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [
{
"data": {
......@@ -360,9 +300,7 @@
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": [
......@@ -373,11 +311,7 @@
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [
{
"data": {
......@@ -406,10 +340,7 @@
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"metadata": {},
"source": [
"## Title\n",
"\n",
......@@ -422,19 +353,14 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"metadata": {},
"source": [
"# Lang Cleaning tools"
]
......@@ -442,11 +368,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [],
"source": [
"detect_lang(\"Ceci est une phrase en français.\")"
......@@ -455,11 +377,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [],
"source": [
"detect_lang(\"This is an english sentence.\")"
......@@ -468,11 +386,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [],
"source": [
"chart(docs, \"language_iso2\").plot.bar()"
......@@ -481,11 +395,7 @@
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [
{
"data": {
......@@ -516,9 +426,7 @@
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": [
......@@ -534,11 +442,7 @@
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [
{
"data": {
......@@ -558,11 +462,7 @@
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [
{
"data": {
......@@ -606,9 +506,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": [
......@@ -617,10 +515,7 @@
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"metadata": {},
"source": [
"# Measures IMT Tools"
]
......@@ -628,11 +523,7 @@
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [
{
"ename": "ConnectionError",
......@@ -680,11 +571,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [],
"source": [
"# Request syntax\n",
......@@ -701,11 +588,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [],
"source": [
"# Forces / Faiblesses de l'IMT\n",
......@@ -720,9 +603,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": [
......@@ -734,11 +615,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"metadata": {},
"outputs": [],
"source": [
"# Then chart it to see your strenght and weakness!\n",
......@@ -749,9 +626,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": []
......@@ -760,9 +635,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": []
......@@ -771,9 +644,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": []
......@@ -782,9 +653,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": []
......@@ -793,9 +662,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": []
......@@ -804,19 +671,14 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"metadata": {},
"source": [
"# Graph generation"
]
......@@ -825,9 +687,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": [
......@@ -838,9 +698,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": [
......@@ -849,10 +707,7 @@
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"metadata": {},
"source": [
"# List Management"
]
......@@ -861,9 +716,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": [
......@@ -874,9 +727,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
"collapsed": true
},
"outputs": [],
"source": [
......@@ -900,7 +751,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.3rc1"
"version": "3.5.3"
}
},
"nbformat": 4,
......
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