banchiClasse.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import BoxStyle\n",
    "import matplotlib.patches as patches\n",
    "import numpy as np\n",
    "import math\n",
    "import csv\n",
    "from datetime import date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mescola(cg,nm):\n",
    "    min = len(cg)\n",
    "    h = min-1\n",
    "    for k in range(0,min-1):\n",
    "        rNum = random.randint(0,h)\n",
    "        appN = nm[h]\n",
    "        appC = cg[h]\n",
    "        nm[h] = nm[rNum]\n",
    "        cg[h] = cg[rNum]\n",
    "        nm[rNum] = appN\n",
    "        cg[rNum] = appC\n",
    "        h -=1\n",
    "    return cg,nm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scelta classe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1  4CSCA \n",
    "## 2  5ASCA \n",
    "## 3  3ASCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "c = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nome = []\n",
    "cognome = []\n",
    "if c==1:\n",
    "    filecsv = 'testi/4csca.csv'\n",
    "    classe = '4CSCA'\n",
    "elif c==2:\n",
    "    filecsv = 'testi/5asca.csv'\n",
    "    classe ='5ASCA'\n",
    "elif c==3:\n",
    "    filecsv = 'testi/3asca.csv'\n",
    "    classe = '3ASCA'\n",
    "maxLnome = 0\n",
    "larg = 10\n",
    "lung = 12\n",
    "with open(filecsv, mode='r') as csv_file:\n",
    "    csv_reader = csv.DictReader(csv_file)\n",
    "    for riga in csv_reader:\n",
    "        cognome.append(riga['cognome'])\n",
    "        m = len(riga['cognome'])\n",
    "        if m>maxLnome:\n",
    "            maxLnome = m\n",
    "        nome.append(riga['nome'])\n",
    "        m = len(riga['nome'])\n",
    "        if m>maxLnome:\n",
    "            maxLnome = m\n",
    "lBanco = 1\n",
    "if maxLnome>=11:\n",
    "    cMedio=1/11\n",
    "    lBanco =1+ (maxLnome-10)*cMedio\n",
    "cognome, nome = mescola(cognome,nome)\n",
    "figura,spazio = plt.subplots(1,figsize=(15, 15))\n",
    "spazio.set_xlim([0, larg])\n",
    "spazio.set_ylim([0, lung])\n",
    "plt.axis('off')\n",
    "hf = 13\n",
    "centroX = larg/2\n",
    "lCattedra = 2\n",
    "h = 0.9\n",
    "spazio.text(centroX, lung-h/2, 'Cattedra', fontsize=18,horizontalalignment='center',\n",
    "            verticalalignment='center')\n",
    "cattedra = patches.Rectangle((centroX-lCattedra/2,lung-h),lCattedra,h,linewidth=1,edgecolor='b',facecolor='none')\n",
    "spazio.add_patch(cattedra)\n",
    "n = len(nome)\n",
    "nrighe = 6\n",
    "if n>24:\n",
    "    nrighe = 7\n",
    "nfile = int(n/nrighe) +1\n",
    "totLbanchi = nfile*lBanco+(nfile-2)*(0.2*lBanco)\n",
    "h = (larg-totLbanchi)/2\n",
    "j = 0\n",
    "for k in range (1,n+1):\n",
    "    ly = lung - 2.4-2*j\n",
    "    spazio.text(h+lBanco/2, ly+0.5, cognome[k-1]+'\\n'+nome[k-1], fontsize=hf,horizontalalignment='center',\n",
    "            verticalalignment='center')\n",
    "    banco = patches.Rectangle((h,ly),lBanco,1,linewidth=1,edgecolor='b',facecolor='none')\n",
    "    spazio.add_patch(banco)\n",
    "    if k%nrighe == 0:\n",
    "        h += 1.2*lBanco\n",
    "        j = -0.7\n",
    "    j +=0.7\n",
    "#\n",
    "oggi = str(date.today())\n",
    "fileOggi = 'figure/'+classe+'_'+oggi+'.pdf'\n",
    "plt.savefig(fileOggi)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}