{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Spiegel Covers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hintergrund"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hintergrund zu dem Notebook findet sich in meinem [Blog](http://datenspieler.com/Spiegel-Cover/)\n",
    "\n",
    "Die Cover-Bilder unterliegen natürlich dem Copyright von [spiegel.de](https://www.spiegel.de)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Herunterladen der Covers von [spiegel.de](https://www.spiegel.de)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import urllib.request\n",
    "import os\n",
    "import numpy as np\n",
    "from PIL import Image\n",
    "from PIL import ImageFont\n",
    "from PIL import ImageDraw \n",
    "from io import BytesIO\n",
    "import IPython.display \n",
    "#from IPython.core import display\n",
    "# images2gif used for animated gif \n",
    "# Version from https://github.com/isaacgerg/images2gif\n",
    "import images2gif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "BASE_URL = 'https://magazin.spiegel.de/EpubDelivery/image/title/SP/{year}/{week}/300'\n",
    "# e.g., https://magazin.spiegel.de/EpubDelivery/image/title/SP/1947/1/500 - \n",
    "# 500 gives resolution, 300 also works, but smaller\n",
    "\n",
    "# Das Underscore führt dazu, dass Jekyll (verwende ich für die Webseite das Verzeichnis ignoriert.\n",
    "folder = '_covers'\n",
    "os.makedirs(folder, exist_ok=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "year_from = 1947\n",
    "year_to = 2016 #year_to is included"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "years = range(year_from, year_to+1) #include year_to"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Der folgende Code lädt die Covers herunter. Dauert einige Zeit. Nicht jedesmal notwendig auszuführen, wenn die Covers bereits gespeichert sind."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Jahr 1947:...................................................oo\n",
      "Jahr 1948:....................................................o\n"
     ]
    }
   ],
   "source": [
    "for year in years:\n",
    "    print('Jahr {year}:'.format(year=year), end='')\n",
    "    for week in range(1,54): #sometimes 53 \n",
    "        img_url = BASE_URL.format(year=year, week=week)\n",
    "        filename = '{folder}/{year}-{week:02d}.jpg'.format(folder=folder,year=year, week=week)\n",
    "        try:\n",
    "            urllib.request.urlretrieve(img_url, filename)\n",
    "            print('.', end='')\n",
    "        except urllib.error.HTTPError:\n",
    "            print('o', end='')\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Verschmelzen der Covers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Zuerst eine kleine Funktion um das Bild anzuzeigen. Verwende hier 'jpg' Format, damit das Notebook, in dem das Bild ja angezeigt und somit auch gespeichert wird, nicht zu groß wird."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def display_img(img):\n",
    "    b = BytesIO()  \n",
    "    img.save(b, format='jpeg')\n",
    "    return IPython.display.Image(data=b.getvalue(), format='jpeg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nun der eigentliche Code zum zusammenfügen der Bilder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def merge(years, save=False, view=True):\n",
    "    \"\"\"\n",
    "    Fügt Bilder der Jahre years zusammen. Speichert, falls save=True. Zeigt Ergebnis an, falls view=True .\n",
    "    \"\"\"\n",
    "    # Erzeugen einer Liste der zusammenzufügenden Bilder, basierend auf dem gewünschten Jahren\n",
    "    allfiles=os.listdir(folder)\n",
    "    if type(years) in (str, int):\n",
    "        years = [years]\n",
    "    years = [str(year) for year in years]\n",
    "    imlist=[folder + '/' + filename for year in years for filename in allfiles if filename.startswith(year)]\n",
    "    \n",
    "    # Vorbereitung für Bilder gleich gleich groß machen und zusammenfügen\n",
    "    imsize = [Image.open(file).size for file in imlist]\n",
    "    w,h=map(int,np.median(imsize, axis=0))\n",
    "    N=len(imlist)\n",
    "    arr=np.zeros((h,w,3),np.float)\n",
    "    \n",
    "    # Bilder gleich groß machen und zusammenfügen\n",
    "    for im in imlist:\n",
    "        imarr=np.array(Image.open(im).resize((w,h)),dtype=np.float)\n",
    "        arr=arr+imarr/N\n",
    "        \n",
    "    # Bilder in Format für Export bringen\n",
    "    arr=np.array(np.round(arr),dtype=np.uint8)\n",
    "\n",
    "    # Generate, save and preview final image\n",
    "    out=Image.fromarray(arr,mode=\"RGB\")\n",
    "    if save:\n",
    "        out.save('avg-'+'_'.join(years)+'.jpg')\n",
    "    if view:\n",
    "        print('_'.join(years))\n",
    "        return display_img(out)\n",
    "    return out"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nun kann man die Cover mehrer Jahre einfach übereinanderlegen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1950_1951_1952_1953_1954_1955_1956_1957_1958_1959\n"
     ]
    },
    {
     "data": {
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L3ysHJqkjqrGSPJ5FS3Lx4HIrnbGZ8tzUlzO+0c06cTHFzdzULx+opheP1FYnnP60GVsd\na2scXMzWZ4+eRVd2T1FZ5kb1pjSMaLC5mXGZOelMyvtVTc1OBNOwrk+BTgtQqxqVc0xXJFGKmTrU\najPWpVFAi0hGKlTFV0BqdKBWJSBkVKuKhGTTwaQWFcA0wLzT6Qg0DFyKicCnnimNQKwnaozgU41G\n1MLEUxGKiU4HNSODURGKAsHAOajkcbaRjUL5IoCw9COtPyCc1WyRRvoCxbEijrT43U81nM5pySEC\ngdjWDqQKspKgHasMTGnrO1Kw9TftZkMlPvpUwKxrSRt9S30rYFZVFodmEbUiK7kQ28nTpXlN1/x9\nS/7xr0O4kPlP9K88uP8Aj4k/3jVYdWuPMHdo3fDS/LL9a6MLXP8AhjBWWulAFRW+I1wj/dos2S8t\n9KkuV+UUWIGW+lSXP3RVUzDFy1KRWjHFPOMUnFa2OLmIiKbjmpTimEigLjMc04CkyDTs8UxXHKOa\nnWokNSg0BclWplFQrU6kUBcnQVKtRKRUgNILkop4FRq1SA0guLiilBpCTQFxCopjLmn596aWphci\ndaiIqZmzUTUBcjYVC4qYmoz9aAuVnFRnpU7gVCcUBchIpmKlYioyRQO4080ooBHrSjHrRYLi49qc\no5pRinjFFg5ixaj56kvl4FJaY39amvsYHNZ1FodWFl7xh3C/un+lefTj/SJP9416LcY8p+e1ed3B\nH2iT/eNPD9R496o2vDJwstdIGrmvDP3ZfrXRioq/EbYX+GjQsWOW+lSXLHaKhserfSpLn7oqqZhi\n9yuWNN3GkpDWpxiM5phJp1NPTpQALTi1NWlxzTETITipAaiU1KDSAlQmp1NQLUy4AoGTq2KlVs1X\nU1MDSAmFPBqMGnZFAEu6kzmmbqTcc0APPFMLUlNJxQAFqjJpTzUbUAIxqJjTicVE5pgNduKgZqkY\n1AxoEMLc1Gzc05jzUbGgBd1OD1GKcKYEgfmnh6iFPHFAF20f56nvn4FVbT/WCrF90FZVNjqwvxGT\ncN+6f6V55Of38n+8a9BuP9U/0rz6f/Xv/vGnh+pWO3RveGfuS/UV0QrnfDP3JvqK6MVnV+I6ML/D\nRdserfSn3P3RTLH+L6U65+6KqmYYvcrUHpSUvatTjGd6RjSmmnmgABpQeaZ3p3OaYiVcVKDUKipQ\nKQEq1KpqJelPHWgZYSpVzVdWxUm6gCcGlzUIanZzSAnyKUGoQcUbqAJjUTNQX4phOaADdTC1KSMV\nGSBQAjEVEacxzUZpgNY1C3NSGomoAiaomNSMeaibmgQU8GohT1pgSjrTxUa08UAW7T/WCp77pUFp\n98VYvqyqbHVhfiMef/VP9DXn0/8Ar5P9416Dcf6p/oa8+n/17/7xqqHUrHbo3vDP3JvqK6IVzvhn\n/VzfUV0QrKr8R0YX+Gi9ZfxU+4+4Kjsf4qkuPuCqpmGK3KuOaDS96UjNanGRmmmpCvFN25oAjA71\nIoFLsxTwtAABzUiigCngUAOUcU6kHFOoAcB707OKaDTutAC7uaduHamYxSgUASbsikHWkwacFpAL\nmmk07HFNNADSajY81J0qJzTAaaYaCaYTQAhqNjTzTG6UAQtUTDmpmAqMjmgRFUi0mOKcvFMB4FPF\nNFPA4oAtWv3xU99UFqPnFWL6sqmx1YX4jHuP9U/0Neezf69/9416Hcf6p/oa88m/17/7xqqHUrHb\no6Dwx/q5vqK6IVzvhj/VzfUV0QrKr8R0YX+Gi7ZfxU+4+4KZZfxfSpLj/ViqpmGK3KtKKKUCtTjF\nIpuMVJjimkcUAN708DmmgVMOAKADFPApVXNSBaAGBacE5p6qKdjFADdmDSgU8DNLjFADStKAMU6g\nigBAtPxSDFOIGKQEZyKbipcZpMUwISKYy+1TsMUwrmgCuV9qjYVZZajZeKAK/eo2qZlqNxigCA0x\nhT2ppoEMHIpyilA5p2MUwCnqaQinCgC1a/6wVPfdKgtfvipr/pWVTY6sN8RkXH+qf6GvPZv9e/8A\nvGvQZ/8AVP8AQ159N/r3/wB41VDqVjt0b/hj/VzfUV0a1zvhf7k31FdGKyq/EdGF/hou2X8VPuP9\nWKZZfxU+5/1YqqZhitytTh0poNKprU4ySm96dSAc0AGKkXnFNxT1HFAEi1IozUYqZBQA5RxTtlOA\nxTqAGgU7b3o607tQAwjHNM7089abjmgBy4NKRSClzikAgFLigGndqAIyKTbT8cUhGKYETLzUTCpy\nM0wgYoArstV5BVtqrSCgCq1MIqQjNN6UCFUAUHrSUuKYDqWm9KcOgoAsWp+cVPfdKgtv9YKnvulZ\nVNjqw3xGRP8A6p/oa8+m/wBe/wDvGvQZ/wDVP9DXn03+vf8A3jVUOpWO3Rv+GPuTfUV0i1znhf7k\n31FdGtZVfiOjC/w0XrL+KnXP+rFNsu9PuP8AViqpmGK3KoFLjFA4NKTWpxjhThTFNOoAeKeKYKcO\ntAEo6U9TioxThQBOpzUgqFTinhqAJaTNJuozxQAvFJjNN6mlzxQAHimnmgnNJQAoODT81CTzTg1A\nEmaaxpu6kJzQAu6msaTNNY0AMeqshqw7VWkNAER6UwinnpTaBDaetNIpRmgBW60CjrSgcUwLFsf3\ngqa+6VBbD94KsXvSs6mx1Yb4jJn/ANU/0Neezf69/wDeNehT/wCqf6GvPZ/9fJ/vGnQ6lY7dHQeF\n/uTfUV0grm/C/wByb610grKr8R0YX+Gi7Zd6fcf6sUyy7065/wBWPrVUzDFblekopDWpxjx0p6mo\nxyKcpoAkB5p4FRA81IDQBKvSniowaeDQA/NLmmCnigB26lzxTKM0APVqUnioxRmgBS2DTd/NIeRT\nSaAHlqA1RE0oNAEh6UbqbuzSGgBS1MLZoNMJoAa5qBjmnuc1E1MQ09aQmnGmMaAAGlpgNLmgB+aU\nUzNOBoAs233x9anvelV7Y/OPrVi+6VlU2OrDfEZE/wDq3+hrz6f/AF8n+8a9Bm/1T/Q159P/AK+T\n/eNVQ6lY7dG/4Y+7L9a6UVzXhj7sv1rpVFZVfiOjC/w0XbLvT7n/AFQpll3p9z/q6qmYYrcqd6Xt\nSUVqcYopwOKbnFKKAHA81Ip5qGlDc0AWQeaeDUKmng0AS5zSg8UwGloAeDzQTTM4p2cjFAC5pT9a\nQUhNAC54phFLSE8UAJQelHNBNAAOlBNJmm5oAcTUTHNPJqInmgBrVEakY1ATzTEKTUZp2aaTQAgp\nwpMcUvSgBaeBTBTx0oAsW3+sFWL3pVe1++PrVi96VnU2OnDfEZM/+qf6GvPZ/wDXyf7xr0Kf/Vv9\nDXns/wDr5P8AeNOh1Lx26N/wwfll+tdKDXM+Gekv1rpAazq/EdGF/hl+y71Jc/6uobI8Gn3RPlU6\nZhi9ytRTM06tTiFoBpAKcKAEpRSUZxQMnWn1CrcVKjZoAkFLTRTqAHUopuaXNAC/jRmkzRmgBc0h\nNGcikPNACE0wk5pxoxQA0mk60Gmk4oAczYqJjzSMxqMtQAM1Rnmgmm96YgPSkzSE0lAD80UlL2oA\nUU8UylFAFu1/1g+tT3vSq9qfnH1qxe1nU2OnDfEZM/8Aq3+hrz6f/Xyf7xr0Gb/Vv9DXn0/+vk/3\njTodS8dujd8M9Za6QVzfhnrLXSCs63xG+F/hlyz6Gn3PMf402z6GnXP+r/GnTMcVuVQKfnpTO1Ga\n1OMfRSZpaAEzS9qSigBc4p6nB4qOnKcUAWVPFPBqBWqVTQBMBxRxTc4ozmgBTikzSGkHWgBS2KTd\nQcUhoAXdzQTTelITQApNRM1OJxUTmgBjNTCeaU803FMQdqYetPbpUZNACHrSUd6U0AKKKSjvQA8U\n6mCnUAWbY/vB9asXvSq1sf3g+tWbzpWdTY6cN8RlTf6t/oa8/n/18n+8a7+b/Vv9DXAT/wCvk/3j\nTodS8dujd8M/8tK6MVzfhr/lpXSCs6vxG+F/hl2z6GnXR/d/jTbPoaLo/u/xp0zHFblUHNLmmA4p\na1OMkBpQaYDTgaAHUho7Umc0AOFOFNC08DigBVNSK1R4pRxQBYBzS5xUCvzTwaAJAc0vWo6XdigB\nxFJijcKMigAYVGeKezcVETQAMaiJpzGo2OKAEJphNKaaRQAHpTCKcaQ0xDRRRRQA6kpOlAoAcDT8\n1FT1NAFm3/1gq1d9Kq2x/eCrV30rOpsdOG+Iypv9W/0Nefz/AOvk/wB416DP/q3+hrz6f/Xyf7xp\n0OpeO3Ru+Gv+WldIK5vw10k+tdKKzq/EdGF/hlu06Gi6/wBWaW06Gm3X+rP1p0zDFblLNLSCnVsc\nQoNOBpuaVaQx+acBTacooAeOBS9s009KFJoAXPSnDkUmM0Ac0AHQ04NQRTTwKAH7qTfUW6kLUATb\nuadu4quGpwagCUtTCaTOaDQAmaaRk07GTS4FAER4NIeBmnMOaa3SgCPPNJ1oxQBTEIRikpxpKAEP\nWj6UUUAHelFFAoAtWp/eLVy66VStv9YtXLo8VnU2OnDfEZs/+rf6GvPZ/wDXyf7xr0Cc/u3+lefz\n/wCvk/3jTodS8duje8NdJPrXSCub8Nfdk+tdIKyq/EdGF/hly0HymkuvuH6060+6abdf6s1VMwxW\n5RozRijoK2OIWlXOaQU9RigB4p4NMFSAUhjx06Uu2kWpRg0AM20Ac1KAMUmKAGUxxmpiM0wrxQBX\nK4phNWGSmeXQBFmgGnFeacqUAKtHU1Iq8UY9qAGgetKcYp+000gCgCIimMKmxTStMCHHFMIqRhTC\nKBDDRjilxzS4oAZRTsU2gAoxR0pwPFAE9t/rFq7c9DVO2/1i1cuelZ1Njpw3xGXP/q3+lefT/wCv\nk/3jXoM/+rb6V5/P/wAfEn+8adDqXjd0b3hrpJ9a6UCud8MJkSY9a6cQmsqvxHRhf4ZPafdNNuvu\nGp7WE7W4pt1EfLPFVTMMVuZop2KcIj6U7yj6VqcRGBUi07yz6U5Iie1MBnSnA1J5RoERz0pDBelS\nrSKh9KkWM0AIOtPIHWnCM+lOEZ9KAIwOaQrUxiIo8o+lAFYimEHFWvJPpSGHtigCpspwTAqx5Jz0\npfKPpQBAFpwTFTeUcdKURn0oAgbAFRHk8VaaE+lM8r2oAr45prdKnMRz0pjRHPSgCo3WkNWTCfSm\nGFj2piK+KWpfJb0o8lvSgCE0wip/Jak8k0AQCjpU4hPpR5B9KAHWx/eLV255Wq1tAfMXir1xCcVn\nU2OnDfEY8/8Aq2+lefT/APHxJ/vGvRriIiN/pXndwP8ASJP940UOpeO3R1fg6DzfM4712q2J9K5b\nwCAWlz616KiLisaz986sIv3aKNrYHaeKZdacxjPy10enwqxx61vR6LFPFzTpyMcWtTzIac392j+z\nm9K9OHhuH0pf+Ech9q15jiseYjT2/u0osGH8Nemf8I3D7Uv/AAjkPoKOYVjzQae3pS/2e2fu16V/\nwjsPoKP+Efh9qOYLHnC6e2Pu08ae2fu16L/YEI9KP7ChFHMFjz0WDf3af9ib+7XenRYs9qQ6NEPS\njmCxwn2Jv7tH2M/3a7o6RF7Un9kQ9yKLhY4U2Zz0pDZHriu5/siH2pDo8OO1FwscN9jPpR9jbP3a\n7n+x4faj+x4vai4WOH+xN/dpPsbf3a7r+yIsdqX+yYsdRRcLHCGyY/w002Lf3a7z+yIsdqUaPEe4\no5gscAbBv7tH9nv/AHa9BGjRe1PGiRH0o5gsecnTm/u0h01v7tek/wBhw+1L/YUPoKOYLHmv9mNj\n7tJ/Zj/3a9M/sKL2o/sGL2o5gseZ/wBlsf4ab/Zbf3a9P/sGL0FH9gxego5gseYf2W2fu0HTG/um\nvT/7Bi9BQdBi9BRzBY83ttMbzF+Wrd1pxAPy13w0WJDnisjVYEjJAxWdSWh1YZe8cBeWW2CQ47Gv\nJblcXMn+8a9y1FR9ml+hrw+7/wCPuX/fNVhnuPHrVHTeC7nyTIfeu6TU+OtebeGWID49a6lZGrnx\nD989bL6SlRTO003Uxv6119nqg8rrXlFndGJsmt631tUTGaiM7FYjCcz0PRP7UHrR/ag9a4L+319a\nP7fX1q/aHN9RfY73+1B60n9qj1rg/wC319aP7fX1o9oH1F9juzqo9ab/AGqPWuF/t9PWj+3k9aPa\nC+ovsdz/AGsPWmnVR61xH9vJ60n9vJR7Qf1F9jtzqgpv9pD1riv7eT1pf7dT1o9oH1F9jsv7QB70\n37ePWuP/ALdSj+3U9qPai+ovsdh9vHrR9vBHWuO/t1PUUf26nqKPah9QfY7H7ePWj7ePWuO/t1PU\nUf26nqKPaj+ovsdj9vHrR9vHrXHf26nqKP7dT1FHtQ+ovsdj9vHrS/2gK43+3U9RS/26nqKftQ+o\nvsdn/aI9acNTx3rif7dT1FH9up6ij2gfUX2O3Gqe9OGqe9cP/bqetH9up60vaB9RfY7oaoKUap71\nwn9vL60v9vL/AHhR7QPqL7Hef2oPWj+0x61wf9vL/eo/t5f71HtA+ovsd5/aY9aP7T964P8At5f7\n1B14f3qPaB9RfY7iTUxt61y2sanlzzWa+ugj71Yl9fmZyQaiU7o3oYTlldomvdQ3QuM9q8junzdS\nn/aNegXEhMbc9q87uP8Aj4k/3jXThHucWawUXE3vDQ+V/rXTCuS0PUYLPcs3APeto67ZZ+/WdenJ\nyukdOBxNOFJRkzUBxS7z61k/29Zf89KP7esv+elYeyn2O/67R/mNfefWjefWsf8At+x/56Uf2/Y/\n89KPZT7D+uUP5jY3n1o3n1rH/wCEgsf+etH/AAkFh/z1o9lPsP67Q/mNjefWjefWsf8A4SCw/wCe\ntH/CQWH/AD1/Sj2U+wfXaH8xsbz60bz61kf8JBYf89f0o/4SDT/+ev6Ueyn2D67Q/mNfefWjeayP\n+Eg0/wD57fpR/wAJBp//AD2/Sj2U+wfXaH8xr7z60u8+tZH/AAkGnf8APb9KP+Eg07/nt+lHsp9g\n+u0P5jX3n1pN59ayf7f07/nv+lH9v6b/AM9/0o9lPsH12h/Ma28+tG8+tZP9v6b/AM9/0pf7f03/\nAJ7/AKUeyn2D67Q/mNXefWjefWsr+39N/wCe/wClH9vab/z3/Sj2U+wfXaH8xq7z60bz61lf29pv\n/Px+lL/b2m/8/H6Ueyn2D67Q/mNTeaN5rL/t7Tf+fj9KP7e03/n4/Sj2U+wfXaH8xqbz60u8+tZX\n9u6b/wA/A/Kl/t3Tf+fgflR7KfYPrtD+Y1N59aN59ay/7d03/n4H5Uv9u6b/AM/A/Kj2U+wfXaH8\nxp7z60bzWZ/bum/8/Apf7c03/n4FHsp9hfXaH8xpbz60bz61m/25pv8Az8Cl/tvTv+fgUeyn2D67\nQ/mNHefWmk5qj/bWn/8APcUf2zp//PcUeyn2J+vUP5izN/qm+lefT/8AHxJ/vGuzuNasPJbbLuOO\nlcXK2+VmHc5rsw0HFO542ZVoVWuV3GUhoorpPOENNoooGJSUUUgEooooGJRRRQAUUUUAFFFFABRR\nRQIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBRTxRRTEOFOFFFBI7tRRRTA/9k=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge(range(1950, 1960))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Zuerst erzeugen wir ein Übersichtsbild, in dem man je 10 Jahre übereinandergelegt sieht"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Größe der einzelnen Bilder\n",
    "w_small = 150\n",
    "h_small = 200\n",
    "\n",
    "# Zwischenraum zwischen den Bildern\n",
    "w_gap = 20\n",
    "h_gap = 40\n",
    "\n",
    "# Großes Galeriebild hat deckt 1940er bis 2010er Jahre ab, also insgesamt 8 Zeitfenster. \n",
    "# Daher Anordnung in 2 Zeilen je 4 Spalten. \n",
    "spalten = 4\n",
    "zeilen = 2\n",
    "\n",
    "# Leeres Bild in entsprechender Größe erzeugen\n",
    "img_galerie = Image.new(mode='RGB', \n",
    "                        size=(w_small * spalten + w_gap * (spalten-1), h_small * zeilen + h_gap * (zeilen)),\n",
    "                        color = 'white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 0 1940 1950\n",
      "0 1 1950 1960\n",
      "0 2 1960 1970\n",
      "0 3 1970 1980\n",
      "1 0 1980 1990\n",
      "1 1 1990 2000\n",
      "1 2 2000 2010\n",
      "1 3 2010 2020\n"
     ]
    }
   ],
   "source": [
    "# Font für Beschriftung laden\n",
    "font = ImageFont.truetype(\"arial.ttf\", 16)\n",
    "\n",
    "for zeile in range(zeilen):\n",
    "    for spalte in range(spalten):\n",
    "        jahr_von = 1940 + 10 * spalte + 10 * spalten * zeile\n",
    "        jahr_bis = jahr_von + 10\n",
    "#        # Covers gibt es ab 1949 bis 2016\n",
    "#        jahr_von = max(jahr_von, 1949)\n",
    "#        jahr_bis = min(jahr_bis, 2016)\n",
    "        \n",
    "        print(zeile, spalte,jahr_von, jahr_bis)\n",
    "        \n",
    "        # Bilder verschmelzen und Größe anpassen\n",
    "        img = merge(range(jahr_von, jahr_bis), view=False)\n",
    "        img = img.resize((w_small, h_small))\n",
    "        # Bild in das Gesamtbild einfügen\n",
    "        img_galerie.paste(img, ((w_small + w_gap) * spalte, (h_small + h_gap) * zeile + h_gap))\n",
    "        # Beschriften\n",
    "        draw = ImageDraw.Draw(img_galerie)\n",
    "        txt = '{von}er'.format(von=jahr_von)\n",
    "        w_size, h_size = draw.textsize(txt, font=font)\n",
    "        draw.text(((w_small + w_gap) * spalte + int(w_small / 2 - w_size / 2), \n",
    "                   (h_small + h_gap) * zeile + int(h_gap / 2 - h_size / 2)),\n",
    "                  txt,(0,0,0),font=font)\n",
    "\n",
    "            \n",
    "img_galerie.save('galerie.jpg', quality=80, optimize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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bu9Q6cTanial73LAgtpMhGOcVzuujbplwPat20/1h+lYev/8AIOufpWXKlNWO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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display_img(img_galerie)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyse der Cover über die Zeit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Die ersten Jahre war das Cover sehr konstant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1947_1948_1949\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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P7VLuJycmj2gfUUd/a6jEsW08ipTqVuFPFefi/nAwCaP7Qn9TS9oP6gjX1u+SSQhRXMsc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\ntFf7hp+zkL61TLhPBrF7n61be/yuAvNVACRmtqUWtzjxNWM2rH//2Q==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge([1947, 1948, 1949], save=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In den nächsten Jahren ist der Text \"DER SPIEGEL\" nach links gewandert. Zusätzlich erkennt man ein \"Durchschnittsgesicht\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1950_1951_1952_1953_1954\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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b+8aX7ZNj7xqeRFe1l3O5a5tsffFQme2/vCuL+1zf3jSfaZcfeNPkQvaS7nWS3Fvk/MKq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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge([1950, 1951,1952,1953, 1954], save=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dann ist der Titel einzeilig geworden."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1955_1956_1957_1558_1959\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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U46Uzb3pgV2Q+lRsvtVwrxULpQIrMoIqIpjtVojFREdaAITkCmkmpmGRUBHOKYEiMamRv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\nvU/nRRQA8M3qfzpQzep/OiimIXJI6mkoooEf/9k=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge([1955, 1956, 1957, 1558, 1959] ,save=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In den folgenden Jahren hat sich die Schriftart leicht geändert und der weiße Balken am unteren Rand des Titelbildes ist verschwunden. Zusätzlich wird das \"Durchschnittsgesicht\" weniger deutlich - es kommen auch Covers, die kein Gesicht zeigen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1960_1961_1962_1963_1964\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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wOppjTPnrTQRSMw7CgB3nN60ea3qahJOeKOT1oAkaVvX9aaZmx1phpwAI6UgASP60F3Pe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\nvzoooAXzH/vt+dHmP/fb86KKYCF2I5Y/nUZ60UUCP//Z\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge(range(1960, 1965) ,save=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In den nächsten 5 Jahren verschwindet das \"Durchschnittsgesicht\" ganz. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1965_1966_1967_1968_1969\n"
     ]
    },
    {
     "data": {
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m7GKCeTzUZBzwaGDdqQC89QacCfWosNnHagZHTvSAk3eppyHLDJqDHqadGTvH1pgdBdD/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\nMOhYmm72P8R/Om1tSpKnscOKxc8Q05dD/9k=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge(range(1965, 1970) ,save=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Die Schriftart ändert sich leicht."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1970_1971_1972_1973_1974_1975_1976_1977_1978_1979\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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EVj/5+Fpv/CLR/wDPwtVvtUn98/nSG5l/vn86PYwD+0q/ctHwtH/z8LSf8IvGP+Xhaqfa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\n0UVpCnGHwnPWxNStb2juf//Z\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge(range(1970, 1980) ,save=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Keine merkbaren Änderungen in den nächsten 20 Jahren."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1980_1981_1982_1983_1984_1985_1986_1987_1988_1989_1990_1991_1992_1993_1994_1995_1996_1997_1998_1999\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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HdJ/5+6P+Ed0n/n7NYBlk7E0ebJ/eNHsIdh/2niP5jf8A+Ee0n/n7NJ/wj2lf8/ZrA82T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\niklJWsf/2Q==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge(range(1980, 2000) ,save=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nun ändert sich der Farbton."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2000_2001_2002_2003_2004_2005_2006_2007_2008_2009_2010_2011_2012_2013_2014_2015_2016\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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u7rTAfnijrTA1KDzTEXGH7y2+gq54n/5Dcv0X/wBBFVHP7y2/3RVvxP8A8huX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\nYcSOO9JSUtAH/9k=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge(range(2000, 2017), save=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Covers nebeneinander kleben"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Liste aller Covers\n",
    "allfiles=os.listdir(folder)\n",
    "imlist=[folder + '/' + filename for filename in allfiles]\n",
    "# Größe der verkleinerten Covers - hier ein Fünftel\n",
    "imsize = [Image.open(file).size for file in imlist]\n",
    "w,h=map(int,np.median(imsize, axis=0))\n",
    "w_small = int(w / 5)\n",
    "h_small = int(h / 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Leeres Bild in entsprechender Größe erzeugen\n",
    "img_strip = Image.new('RGB', (w_small*53,h_small*len(years)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 "
     ]
    }
   ],
   "source": [
    "for nr, year in enumerate(years):\n",
    "    print(year, '', end='')\n",
    "    for week in range(1,54):\n",
    "        filename = '{folder}/{year}-{week:02d}.jpg'.format(folder=folder,year=year, week=week)\n",
    "        try:\n",
    "            im = Image.open(filename)\n",
    "        except:\n",
    "            im = Image.new('RGB', (w_small,h_small))\n",
    "        # Bild vergleinern\n",
    "        im.thumbnail((w_small, h_small))\n",
    "        # Bild in das Gesamtbild einfügen\n",
    "        img_strip.paste(im, (w_small * (week-1), h_small * nr))\n",
    "\n",
    "# Bild speichern, relativ schlechte JPG Qualität, um die Filegröße bei rund 2 MB zu halten\n",
    "img_strip.save('strip.jpg', quality=20, optimize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Das Bild ist recht groß, daher besser anzuschauen, wenn man es mittels des Links unten in einem extra Fenster öffnet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<a href='strip.jpg' target='_blank'>strip.jpg</a><br>"
      ],
      "text/plain": [
       "C:\\Users\\uniqu\\Documents\\notebooks_for_blog\\2016-spiegel\\strip.jpg"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IPython.display.FileLink('strip.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Animiertes GIF aus den Covers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Liste aller Covers\n",
    "allfiles=os.listdir(folder)\n",
    "imlist=[folder + '/' + filename for filename in allfiles]\n",
    "# Größe der verkleinerten Covers - hier die Hälfte\n",
    "imsize = [Image.open(file).size for file in imlist]\n",
    "w,h=map(int,np.median(imsize, axis=0))\n",
    "\n",
    "# Will man z.B. halb so große Bilder, einfach 1 durch 2 ersetzen\n",
    "w_small = int(w / 1)\n",
    "h_small = int(h / 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 "
     ]
    }
   ],
   "source": [
    "frames = []\n",
    "font = ImageFont.truetype(\"arial.ttf\", 12)\n",
    "for year in years:\n",
    "    print(year, '', end='')\n",
    "    # Um das Video nicht zu lange zu machen, nehme ich nur das 1. Bild pro Jahr,\n",
    "    # deshalb range(1,2) = 1. Aber leicht zu ändern, z.B. range(1,54) für jedes Bild\n",
    "    for week in range(1,2):\n",
    "        filename = '{folder}/{year}-{week:02d}.jpg'.format(folder=folder,year=year, week=week)\n",
    "        try:\n",
    "            im = Image.open(filename)\n",
    "            im = im.resize((w_small, h_small))\n",
    "            draw = ImageDraw.Draw(im)\n",
    "            txt = '{year}-{week:02d}'.format(year=year, week=week)\n",
    "            w_size, h_size = draw.textsize(txt, font=font)\n",
    "            draw.text(((w_small - w_size) / 2 , h_small-h_size-5),txt,(0,0,0),font=font)\n",
    "            frames.append(im)\n",
    "        except:\n",
    "            pass\n",
    "        \n",
    "        \n",
    "# Die Dauer der Frames kann einzeln angegeben werden. Alle Frames sollen eine kurze Dauer haben, außer\n",
    "# der letzte, damit man klar sieht, dass ein Durchlauf zu Ende ist, bevor der nächste beginnt.\n",
    "dauer = [0.1] * len(frames)\n",
    "dauer[-1] = 2\n",
    "images2gif.writeGif('animated.gif', frames, duration=dauer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Das Bild lässt sich auch besser anschauen, wenn man es mittels des Links unten in einem extra Fenster öffnet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<a href='animated.gif' target='_blank'>animated.gif</a><br>"
      ],
      "text/plain": [
       "C:\\Users\\uniqu\\Documents\\git\\datenspieler.github.io\\notebooks\\2016-spiegel\\animated.gif"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IPython.display.FileLink('animated.gif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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