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    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Latex Anki Card - Bulk Division"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "def Form1(dividend,divisor):\n",
    "    tmp=\"\"\"Solve [latex]\\mydiv {{{div}}}{{{divid}}} [/latex]\"\"\".format(div=divisor,divid=dividend)\n",
    "    return tmp\n",
    "\n",
    "def Form2(dividend,divisor):\n",
    "    tmp=\"\"\"Solve [$] {{{divid}}} \\div  {{{div}}} [/$]\"\"\".format(div=divisor,divid=dividend)\n",
    "    return tmp\n",
    "\n",
    "def Form3(dividend,divisor):\n",
    "    tmp=\"\"\"Solve [$] \\\\frac {{{divid}}}{{{div}}} [/$]\"\"\".format(div=divisor,divid=dividend)\n",
    "    return tmp\n",
    "\n",
    "def Back(dividend,divisor):\n",
    "    ans=dividend/divisor\n",
    "    rounded1=round(ans,1)\n",
    "    rounded2=round(ans,2)\n",
    "    rounded3=round(ans,3)\n",
    "    temp=\"\"\" Answer(3 D.P):\\n\n",
    "    {ans3} \\n\\n\n",
    "    Working:\\n\n",
    "    [$]\\longdivision[stage=5] {{{divid}}}{{{div}}}[/$]\n",
    "\n",
    "    Check Answer:\\n\n",
    "    [$]\\opmul{{{ans3}}}{{{div}}} \\quad \\opmul{{{ans2}}}{{{div}}} \n",
    "    [/$]\\n \"\"\".format(ans2=rounded2, ans3=rounded3, divid=dividend, div=divisor)\n",
    "    return temp\n",
    "\n",
    "dividends=[1023, 300, 300,300, 3520, 3932.5, 4732, 532.5,532.5,532.5,423, 4750]\n",
    "divisor=[9, 2000, 2475, 400, 10, 45,9,10,15,60,3,8]\n",
    "\n",
    "lsf1=[]\n",
    "lsf2=[]\n",
    "lsf3=[]\n",
    "lsb=[]\n",
    "lst=[]\n",
    "for divid, div in zip(dividends,divisor):\n",
    "    lsf1.append (Form1(divid,div))\n",
    "    lsf2.append (Form2(divid,div))\n",
    "    lsf3.append (Form3(divid,div))\n",
    "    lsb.append (Back(divid,div))\n",
    "    lst.append ('Division')\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "location=Path('/home/dl92/SynologyDrive/Kids/Miri/FlashCards')\n",
    "fname=location / 'Division.csv'\n",
    "pd.DataFrame({'Form1':lsf1,'Form2':lsf2,'Form3':lsf3,'Back':lsb,'Tag':lst}).to_csv(fname,header=False, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": []
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   "cell_type": "code",
   "execution_count": null,
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