{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# 2A.soft - IPython et commandes magiques - correction\n", "\n", "Aper\u00e7u des [commandes magiques](http://ipython.readthedocs.io/en/stable/config/custommagics.html) pour automatiser un peu plus les t\u00e2ches courantes."]}, {"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["Populating the interactive namespace from numpy and matplotlib\n"]}], "source": ["%matplotlib inline\n", "import matplotlib.pyplot as plt"]}, {"cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [{"data": {"text/html": ["<b>Plan</b>\n", "<div id=\"my_menu_id\">run previous cell, wait for 2 seconds</div>\n", "<script>\n", "function repeat_indent_string(n){\n", "    var a = \"\" ;\n", "    for ( ; n > 0 ; --n) {\n", "        a += \"    \";\n", "    }\n", "    return a;\n", "}\n", "var update_menu_string = function(begin, lfirst, llast, sformat, send) {\n", "    var anchors = document.getElementsByClassName(\"section\");\n", "    if (anchors.length == 0) {\n", "        anchors = document.getElementsByClassName(\"text_cell_render rendered_html\");\n", "    }\n", "    var i,t;\n", "    var text_menu = begin;\n", "    var text_memo = \"<pre>\\nlength:\" + anchors.length + \"\\n\";\n", "    var ind = \"\";\n", "    var memo_level = 1;\n", "    var href;\n", "    var tags = [];\n", "    for (i = lfirst; i <= llast; i++) {\n", "        tags.push(\"h\" + i);\n", "    }\n", "\n", "    for (i = 0; i < anchors.length; i++) {\n", "        text_memo += \"**\" + anchors[i].id + \"--\\n\";\n", "\n", "        var child = null;\n", "        for(t = 0; t < tags.length; t++) {\n", "            var r = anchors[i].getElementsByTagName(tags[t]);\n", "            if (r.length > 0) {\n", "child = r[0];\n", "break;\n", "            }\n", "        }\n", "        if (child == null){\n", "            text_memo += \"null\\n\";\n", "            continue;\n", "        }\n", "\n", "        if (anchors[i].hasAttribute(\"id\")) {\n", "            // when converted in RST\n", "            href = anchors[i].id;\n", "            text_memo += \"#1-\" + href;\n", "            // passer \u00e0 child suivant (le chercher)\n", "        }\n", "        else if (child.hasAttribute(\"id\")) {\n", "            // in a notebook\n", "            href = child.id;\n", "            text_memo += \"#2-\" + href;\n", "        }\n", "        else {\n", "            text_memo += \"#3-\" + \"*\" + \"\\n\";\n", "            continue;\n", "        }\n", "        var title = child.textContent;\n", "        var level = parseInt(child.tagName.substring(1,2));\n", "\n", "        text_memo += \"--\" + level + \"?\" + lfirst + \"--\" + title + \"\\n\";\n", "\n", "        if ((level < lfirst) || (level > llast)) {\n", "            continue ;\n", "        }\n", "        if (title.endsWith('\u00b6')) {\n", "            title = title.substring(0,title.length-1).replace(\"<\", \"&lt;\").replace(\">\", \"&gt;\").replace(\"&\", \"&amp;\")\n", "        }\n", "\n", "        if (title.length == 0) {\n", "            continue;\n", "        }\n", "        while (level > memo_level) {\n", "            text_menu += \"<ul>\\n\";\n", "            memo_level += 1;\n", "        }\n", "        while (level < memo_level) {\n", "            text_menu += \"</ul>\\n\";\n", "            memo_level -= 1;\n", "        }\n", "        text_menu += repeat_indent_string(level-2) + sformat.replace(\"__HREF__\", href).replace(\"__TITLE__\", title);\n", "    }\n", "    while (1 < memo_level) {\n", "        text_menu += \"</ul>\\n\";\n", "        memo_level -= 1;\n", "    }\n", "    text_menu += send;\n", "    //text_menu += \"\\n\" + text_memo;\n", "    return text_menu;\n", "};\n", "var update_menu = function() {\n", "    var sbegin = \"\";\n", "    var sformat = '<li><a href=\"#__HREF__\">__TITLE__</a></li>';\n", "    var send = \"\";\n", "    var text_menu = update_menu_string(sbegin, 2, 4, sformat, send);\n", "    var menu = document.getElementById(\"my_menu_id\");\n", "    menu.innerHTML=text_menu;\n", "};\n", "window.setTimeout(update_menu,2000);\n", "            </script>"], "text/plain": ["<IPython.core.display.HTML object>"]}, "execution_count": 3, "metadata": {}, "output_type": "execute_result"}], "source": ["from jyquickhelper import add_notebook_menu\n", "add_notebook_menu()"]}, {"cell_type": "markdown", "metadata": {}, "source": ["### Exercice 1 : votre propre magique commande\n", "\n", "On impl\u00e9mente la commande ``%monplot`` qui prend un fichier texte, appelle la commande [plot](http://pandas.pydata.org/pandas-docs/stable/visualization.html) et stocke le r\u00e9sultat dans la variable ``df`` qui est ajout\u00e9e \u00e0 l'espace de travail."]}, {"cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": ["from IPython.core.magic import Magics, magics_class, line_magic, cell_magic, line_cell_magic\n", "import pandas\n", " \n", "@magics_class\n", "class CustomMagics(Magics):\n", " \n", "    @line_magic\n", "    def monplot(self, line):\n", "        df = pandas.read_csv(line, sep=\"\\t\")\n", "        pl = df.plot()\n", "        if self.shell is not None:\n", "            self.shell.user_ns[\"df\"] = df\n", "            \n", "ip = get_ipython()\n", "ip.register_magics(CustomMagics)            "]}, {"cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["    downloading of  http://www.xavierdupre.fr/enseignement/complements/marathon.txt  to  marathon.txt\n"]}, {"data": {"text/plain": ["'marathon.txt'"]}, "execution_count": 5, "metadata": {}, "output_type": "execute_result"}], "source": ["import pyensae.datasource\n", "pyensae.datasource.download_data(\"marathon.txt\")"]}, {"cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [{"data": {"image/png": 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vy04UC21xMxEtwUX5J57CdzzYgUVVONgW67Xe/pZO/vOtWh64fuqg4wrHNHQg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\numRSNq6ubHyqhtaBMpqwr6U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+ePLz1R7bTcXSc7llWGLoFU/9MQgFe8eg9jwmltQyxSRN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\nAgDgIhAAABeBAAC4CAQAwEUgAACuD8RgyWy0HCrZAAAAAElFTkSuQmCC\n", "text/plain": ["<matplotlib.figure.Figure at 0x9f27e80>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["%monplot marathon.txt"]}, {"cell_type": "markdown", "metadata": {}, "source": ["Sans pr\u00e9traitement, cela n'a pas toujours un sens. Mais cela devient pratique d\u00e8s qu'il faut automatiser la cr\u00e9ation d'un rapport \u00e0 partir de donn\u00e9es qui se pr\u00e9sentent toujours sous le m\u00eame format. D'une mani\u00e8re g\u00e9n\u00e9rale, cela revient \u00e0 r\u00e9duire la syntaxe des t\u00e2ches r\u00e9p\u00e9titives."]}, {"cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": []}], "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": "3.6.1"}}, "nbformat": 4, "nbformat_minor": 2}