W2 - Logic Graphic.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "07b98bd6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<module 'numpy' from '/Users/sckn/.pyenv/versions/3.6.15/lib/python3.6/site-packages/numpy/__init__.py'>"
     ]
    }
   ],
   "source": [
    "except\n",
    "    err_ => \n",
    "        plt = import '/matplotlib/pyplot'\n",
    "        pd = import '/pandas'\n",
    "        np = import '/numpy'\n",
    "    err_ :: ModuleNotFoundError =>\n",
    "            print \"Kütüphaneler yüklü olmayabilir.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6dbdcd90",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<function logit at 0x1077bbe18>"
     ]
    }
   ],
   "source": [
    "logit = x -> np.log(x / (1 - x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "aa4d9e8b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([0.001 , 0.0011, 0.0012, ..., 0.9987, 0.9988, 0.9989]), array([-6.90675478, -6.81134449, -6.724233  , ...,  6.64409017,\n",
      "        6.724233  ,  6.81134449])]"
     ]
    }
   ],
   "source": [
    "x = np.arange 0.001 0.999 0.0001\n",
    "y = (map logit x) |> list |> np.array\n",
    "\n",
    "[x, y]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "96062d70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QQnS4ycnQ1SiAAAAEueKaJt3/74366NtSSVL32Ag9dMkgnZ2XZnIymIUCCABAkHK1ufXi5zs1d9E2Nbd6FGK3aeq4HN02oY9iIsLMjgcT2c0OYKZZs2Zp1KhRiomJUWpqqiZPnqwtW7aYHQsAgJNiGIbe/6ZEk/60RI8t2KLmVo9G90zU/FtO0/9cMIDyB2tPAD/77DNNmzZNo0aNUltbm/7whz9o0qRJ2rhxo6Kjo82OBwDAcfuqoFIPfbhZ64pqJEkpMQ798fz%2BumhoOtf1g5fNMAzD7BD%2Bory8XKmpqfrss890%2BumnH3X9uro6xcXFqba2VrGxsV2QEACAw9tWVq9HPtqshZv2SZKiwkP069N76brTeiraYel5zyH4/Lb4BPCHamtrJUmJiYmHfd7lcsnlcnm/rqur65JcAAAcyfZ9DZq7aJveW1ciw5BC7Db992inbv1JX6XEOMyOBz9FATzA4/Hotttu0/jx4zVo0KDDrjNr1izdd999XZwMAIBD/bD4SdI5A9N010/z1Culm7nh4PfYBXzAb37zG3344YdaunSpMjMzD7vO4SaATqfT0iNkAEDX2r6vXnMXbe9Q/CYOSNOtP%2BnDLdyOEbuAmQBKkm6%2B%2BWa9//77WrJkyRHLnyQ5HA45HIzTAQBdyzAMrdxVrec/2%2BE9xk%2Bi%2BOHEWboAGoah3/72t3rnnXe0ePFi9ezZ0%2BxIAAB4uT2GPtlYqueXFGjN7hrvcoofTpalC%2BC0adP0t7/9Te%2B%2B%2B65iYmJUWtp%2BhfS4uDhFRkaanA4AYFWNLW16e3WxXvy8wHvbtvAQuy4ZkaHrTstV71SO8cPJsfQxgEe6HtK8efM0derUo76eYwgAAJ2psGK//vrlLr21skj1zW2SpLjIMF19SpamjMtRakyEyQmDA5/fFp8AWrj7AgD8hNtj6LOt%2B/Tqsl36bGu5d3lWYpSmjsvR5aOcXMcPnY7fKAAATFDZ4NI/V%2B/RX7/cpaKqJkmSzSad2TdFvxiXozP6pMhu584d8A0KIAAAXcTtMbRkW7neWlGkhZvK1Opu3xMVGxGqy0c5dfUp2cpO4lak8D0KIAAAPlZU1ai3VhbpH6v2aG9ts3f5kMw4XTk6SxcPy1BkeIiJCWE1FEAAAHygsaVNn2ws05srirRsR6V3eXxUmCYPy9Bl%2BU4NSLfmCQgwHwUQAIBO0ub26IsdlfrXmmIt%2BLZUjS1uSe3H9p3aO1mX5Ts1cUCaIsKY9sFcFEAAAE6CYRj6Zk%2Bt/rW2WP9et1cVDd/dMjQrMUo/G56hn%2BdnKjMhysSUQEcUQAAATsDOiv16b22J3l1brIKK/d7lCVFhunBoui4elqERWfFHvOYsYCYKIAAAx2hHeYPmf7NX8zeUatPeOu/yiDC7Jg7orp8NT9dpfVIUFmI3MSVwdBRAAAB%2BxPZ99frgm1LNX79XW8rqvctD7DaN65Wknw3P0KSB3dWNizUjgPDbCgDA9xiGoa1lDZq/fq/mr9%2BrbfsavM%2BF2m06tU%2ByzhvUQxMHpCkhOtzEpMCJowACACyvze3Ryl3VWrixTJ9sKtOuykbvc2EhNp3WJ0XnDuquSQO6Ky4qzMSkQOegAAIALKnB1aYlW8u1cGOZFm3Zp5rGVu9z4SF2nd43WecN7qGf9E9TXCSlD8GFAggAsIzS2mYt3FSmTzaWafmOSrW4Pd7n4qPCdHZeqiYNSNNpfVIUzTF9CGL8dgMAgpbbY2htUY0%2B27JP/9lSrvXFtR2ez0mK0sQBaZrQP00jsxMUytm7sAgKIAAgqFQ0uPTZlnIt3lquz7eVd9i1a7NJw5zxmjggTRP7p6l3ajeu0wdLogACAALa96d8i7eW65s9Had8MRGhOr1Pis7ol6Iz%2B6UoNSbCpKSA/6AAAgACzr66Zi3dXqHFW8q15AdTPkkamB6rM/ul6Mx%2BqRrujGfXLvADFEAAgN9rcLXpq4JKLd1eoS%2B2V2hrWUOH5ztM%2BfqmKDWWKR/wYyiAAAC/0%2Br26Js9Nfp8W3vhW7O7Rm0ew/u8zSYNSo/T6X2TmfIBJ4ACCAAwnWEY2lHe4C18XxZUqcHV1mGdrMQoje%2BdrNP6JGtsbhJ34QBOAgUQANDlDMPQnuomLS%2Bo1Jc7KvXFjgqV1bk6rBMfFabxvZI1vneyTu2drKykKJPSAsGHAggA6BJFVY36sqBSywsq9VVBlYprmjo8Hx5q1%2BicRG/hG5geK7udS7QAvkABBAD4xJ7qRi3fUakvC6r0ZUHlIYUv1G7TkMw4je2VpFNykzQqJ1ERYSEmpQWshQIIAOgUe6obvWXvy4JK7ak%2BfOE7Jbe98I3MTuB2a4BJ%2BJsHADhuhmFoZ8V%2BrSys1teFVfpqZ6WKqjoWvpAfFL58Ch/gN/ibCAA4qja3R5v21uvrwiqt2FmllbuqVNHQ0mGdELtNgzMOFr5E5eckqhuFD/BL/M0EAByiqcWtNUXVWllYrRWFVVq9q1r7W9wd1gkPsWuoM06jchI1qmeiRlH4gIDB31QAgKr3t2jlrvayt6KwShuKa9XqNjqsExMRqvzsBOXnJGp0z0QNzojjpA0gQFEAAcBiDMNQcU2T9/i9FTurtG1fwyHrpcU6NOpA2cvPTlS/7jEK4bIsQFCgAAJAkGtqcWt9ca3W7K7W6t3VWrO7RvvqXYes1ysl2lv2RvdMVGZCpGw2Ch8QjPymAObm5mrFihVKSkrqsLympkYjRoxQQUGBSckAIHAYhqHdVY1as7vGW/Y27a3rcB9dqf2SLAPTY73H7%2BVnJyipm8Ok1AC6mt8UwMLCQrnd7kOWu1wuFRcXm5AIAPzffleb1u2p0ZrdNVpzoPBV7m85ZL3UGIdGZCVoeFa8hmclaHBGnCLDOX4PsCrTC%2BB7773n/e8FCxYoLi7O%2B7Xb7dann36qnJwcE5IBgH/xeAztrNyv1buqtaaoRqt3VWtrWb1%2BMNxTeIhdAzNiNdzZXvhGZCcoPS6C3bkAvEwvgJMnT5Yk2Ww2TZkypcNzYWFhysnJ0eOPP25CMgAwV11zq9burvHuzl1bVKPaptZD1suIj9SwrHjvhG9geqwcoUz3AByZ6QXQ4/FIknr27KkVK1YoOTnZ5EQA0PXcHkPb9zV0OFFje3mDjB9M9xyhdg3JjOuwOzctNsKc0AAClukF8KCdO3eaHQEAukz1/hatKao%2BcOxejdYW1ajB1XbIelmJURpxoOiNyEpQXo8YhYXYTUgMIJiYWgDnzJmjG264QREREZozZ86PrnvLLbd0USoA6Fxtbo82l9ZrTdF3J2rsrNh/yHpR4SEamhnfftxeVoKGZcUrmTNzAfiAzTB%2BuIOh6/Ts2VMrV65UUlKSevbsecT1bDabX14Gpq6uTnFxcaqtrVVsbKzZcQD4ifJ6V3vRO3Cixjd7atXUeuhVDnJTojXcmaAR2fEa7kxQ37RuCmW6B/gcn98mTwC/v9vXrF3ATz/9tB577DGVlpZq6NChmjt3rkaPHm1KFgCBp6XNo0176w4cu1ejNUXVKqpqOmS9GEeohh3YlTs8K17DMuOVEB1uQmIA8KNjAM3w5ptv6o477tBzzz2nMWPG6Mknn9Q555yjLVu2KDU11ex4APxQaW1zhxM11hfXytXm6bCOzSb1Se3W4USN3indZOc2agD8hKm7gL/vjjvuOOxym82miIgI9e7dWxdffLESExM77XuOGTNGo0aN0lNPPSWp/Yxkp9Op3/72t5o%2BffpRX88IGQhuza1ufVtS5z1ub/Xuau2tbT5kvfioMA13fjfdG%2BqMV2xEmAmJARwLPr/9aAK4Zs0arV69Wm63W/369ZMkbd26VSEhIcrLy9MzzzyjO%2B%2B8U0uXLtWAAQNO%2Bvu1tLRo1apVuueee7zL7Ha7JkyYoOXLlx/2NS6XSy7Xd/fPrKurO%2BkcAPyDYRjaU93kPVFj9e4abSypVau74/8j221SXvdY72RvRFa8eiZHc5FlAAHFbwrgwenevHnzvG28trZW1113nU499VRdf/31uvLKK3X77bdrwYIFJ/39Kioq5Ha7lZaW1mF5WlqaNm/efNjXzJo1S/fdd99Jf28A5mtqceubPTXeEzXWFNWovN51yHpJ0eHeyd6IrAQNyYxTtMNv/ukEgBPiN7uAMzIy9Mknnxwy3fv22281adIkFRcXa/Xq1Zo0aZIqKipO%2BvuVlJQoIyNDy5Yt09ixY73L77rrLn322Wf66quvDnnN4SaATqfT0iNkIBAYhqFdlY1aU1St1bvaT9TYtLde7h/cQy3UbtOA9FgNd7bfPm24M0HOxEime0CQYRewH00Aa2trtW/fvkMKYHl5uXdXa3x8vFpaDr3J%2BYlITk5WSEiIysrKOiwvKytT9%2B7dD/sah8Mhh4NrcgH%2BrsHVpm%2BKarwnaqwpqlHV/kP/7UiNcWhE1oHLsGQlaHBGnCLCuIUagODnNwXw4osv1rXXXqvHH39co0aNkiStWLFCv/vd77z3C/7666/Vt2/fTvl%2B4eHhGjlypD799FPv%2B3s8Hn366ae6%2BeabO%2BV7APA9j8dQQcX%2B78re7mptLavXD4Z7Cg%2Bxa2BGrPfM3BFZCeoRF8F0D4Al%2BU0BfP7553X77bfriiuuUFtb%2B%2B2QQkNDNWXKFP3pT3%2BSJOXl5enFF1/stO95xx13aMqUKcrPz9fo0aP15JNPav/%2B/frlL3/Zad8DQOeqb27V2qIard7VPuFbW1Sj2qbWQ9bLiI/scKLGgPRYOUKZ7gGA5EfHAB7U0NDgvetHbm6uunXr5tPv99RTT3kvBD1s2DDNmTNHY8aMOabXcgwB4Fvt070G73F7q3fVaOu%2Bev3wXy1HqN17C7WDJ2ykxUaYExqA3%2BPz2w8LoCTt2bNHkpSZmWlykh/HLxDQuY51uudMjGy/hVpW%2B8ka/XvEKoxbqAE4Rnx%2B%2B9EuYI/HowceeECPP/64GhoaJEkxMTG68847NWPGDNnt/OMOBBPvdO/AcXtHmu5FhNk1JCNew7PjvcfvpcYw3QOAk%2BE3BXDGjBl66aWX9PDDD2v8%2BPGSpKVLl%2Bree%2B9Vc3OzHnzwQZMTAjgZxzPdG5GV4C17TPcAoPP5zS7g9PR0Pffcc7rooos6LH/33Xd10003qbi42KRkR8YIGTg8wzC0s2K/Vu6qZroHwO/w%2Be1HE8Cqqirl5eUdsjwvL09VVVUmJAJwrFraPNpQUquVhVVaWVitVbuqVXmY6%2B4x3QMA/%2BA3BXDo0KF66qmnNGfOnA7Ln3rqKQ0ZMsSkVAAOp7axVat2t5e9lYXVWrenRq42T4d1wkPtGpoZpxHZCUz3AMDP%2BE0BfPTRR3X%2B%2Bedr4cKF3luzLV%2B%2BXEVFRZo/f77J6QDrMgxDRVVNWlFYpZW7qrVqV5W2ljUcsl5CVJjycxKVn52g/JwEDcqI47p7AOCn/KYAnnHGGdq6dauefvppbd68WZJ0ySWX6IYbbtADDzyg0047zeSEgDW0uj3aWFKnFYVVWrWrWit3Vau83nXIernJ0RqZnaBROYkamZOg3ORo7qoBAAHCb04COZJ169ZpxIgRcrvdZkc5BAeRIhg0t7q1ZneNvt5Zpa92VmrN7ho1tXb8%2BxYWYtOgjLj2spedoJHZCUruxn2xAQQmPr/9aAIIoGvsd7Vp1a5qfbWzUl/vrNK6olq1uDsevxcXGeYteqNyEjUkM04RYezOBYBgQQEEglxtU6tWFlbpq53tjw3FtXJ7Og7%2BU2McGpObpNE9EzWmZ6J6p3ST3c7uXAAIVhRAIMhUNrgO7M6t0tc7q7SptO6Q6%2B9lJkRqdM9EndKzvfRlJ0Vx/B4AWIjpBfCSSy750edramq6JggQoGoaW/RlQZWW76jQsh2V2rbv0DN0c5Oj26d7uYka3TNJGfGRJiQFAPgL0wtgXFzcUZ//xS9%2B0UVpAP%2B339WmrwurtHxHpZbtqNC3JYdO%2BPqlxRwoe%2B0Prr8HAPg%2B0wvgvHnzzI4A%2BLXmVrdW764%2BUPgqta6oRm0/OIavd2o3jeuVpHG9kjSmZ5ISosNNSgsACASmF0AAHbW5PVq3p9a7S3flrmq1/OAuG87ESI3LTda43kkam5uk1FgmfACAY0cBBPxAUVWjPt9WoSVby/XFjgrVN7d1eD4lxqHxvZI0rleyxvZKkjMxyqSkAIBgQAEETLDf1ablOyr1%2BbZyfb6tQgUV%2Bzs8HxsRqnG92id843olqVdKN87SBQB0Ggog0AU8HkPfltRpybZyLdlartW7q9Xq/u44vhC7TcOd8Tq9b4pO65OsIZnxCuE6fAAAH6EAAj5S09iiz7aWa9Hmffp8W4Wq9rd0eD4rMUqn903WaX1SNLZXkmIjwkxKCgCwGgog0EkMw9CWsnot2rxPizbt0%2Brd1fr%2BybrdHKEa2ytJp/dN0el9kpWdFG1eWACApVEAgZPQ1OLWsh0VWrR5n/6zeZ9Kaps7PN8vLUZn5aXqrH4pGpGdoLAQu0lJAQD4DgUQOE5ldc36eGOZFm0q07IdlXJ97xItjlC7xvdO9pa%2BzATO1gUA%2BB8KIHAMdpQ3aMG3pfr42zKtLarp8FxGfKTOykvR2XmpGpubrMjwEHNCAgBwjCiAwGEYhqFv9tS2l76NZdr%2Bg/vrDs%2BK18QBaTo7L1X90mK4RAsAIKBQAIED3B5DX%2B2s1Ecb2id9pXXfHc8XardpbK8knTOwuyYNSOPOGwCAgEYBhKV5PIZWFFbpg/V7NX99qSoaXN7nosJDdFa/VE0amKYz%2B6UqLpLLtAAAggMFEJZjGIZW767R%2B9%2BUaP76vSqr%2B670xUeFadKANJ0zsLvG905WRBjH8wEAgg8FEJZgGIY2FNfp39%2BU6INv9qq4psn7XExEqCYN6K4LhvbQqb2TuVQLACDoUQAR1EpqmvSvtcV6e3VxhxM5osNDNHFAmi4Ykq7T%2BibLEcqkDwBgHRRABJ0GV5s%2BXL9X76wp1vKCShkH7sbhCLVrQv80XTi0h87sl8ruXQCAZVEAERQ8HkNLt1fo7dV79NG3pWpu/e7izGN6JuqSERk6d3AP7rcLAIAogAhwpbXN%2BvvKIr2xoqjDcX25ydH62fAMTR6eIWcid%2BMAAOD7KIAIOG1ujz7bWq7Xv96tRZv3yXNgF29sRKguHpahS0ZkaJgznoszAwBwBBRABIy9tU16/avdemvlng4XaR6dk6grRjt13uAeHNcHAMAxoADCrxmGoVW7qjVvWaE%2B2lAq94FxX0JUmC4dkakrRjvVOzXG5JQAAAQWCiD8UnOrW/9eV6JXlhXq25I67/IxPRN19SnZmjQwjUu3AABwgiiA8Cvl9S79ZXmhXvtqt6r2t0hqv3zLz4ZnaMq4HPXvEWtyQgAAAh8FEH5hd2Wj/vz5Dr21co9a2tov4ZIeF6FrxuboilFOJUSHm5wQAIDgYckCWFhYqPvvv1%2BLFi1SaWmp0tPTdfXVV2vGjBkKD6dodKUNxbV67rMdmr9%2Br/ds3mHOeN1weq4mDUhTKLdlAwCg01myAG7evFkej0fPP/%2B8evfurQ0bNuj666/X/v37NXv2bLPjWcKqXdX6v59u05Kt5d5lZ/RN0W/O7KUxPRO5hAsAAD5kM4yDN8qytscee0zPPvusCgoKjvk1dXV1iouLU21trWJjOTbtWKwrqtGfFm7V4i3txc9uky4Ykq5fn5GrgelxJqcDAFgBn98WnQAeTm1trRITE390HZfLJZfL5f26rq7uR9bG920ortWTC7dq4aZ9kqQQu03/NSJT087qrawk7tQBAEBXogBK2r59u%2BbOnXvU3b%2BzZs3Sfffd10WpgsOuyv169KMt%2BmD9XkntE7/JwzN0y9l9lJMcbXI6AACsKah2AU%2BfPl2PPPLIj66zadMm5eXleb8uLi7WGWecoTPPPFMvvvjij772cBNAp9Np6RHykdQ0tmjuou36y/JCtboN2WzSRUPTdctP%2BqhXSjez4wEALIxdwEFWAMvLy1VZWfmj6%2BTm5nrP9C0pKdGZZ56pU045Ra%2B88ors9uM745RfoEO52tz66/JdmvPpNtU1t0mSTu%2BbonvOzeMafgAAv8Dnd5DtAk5JSVFKSsoxrVtcXKyzzjpLI0eO1Lx58467/OFQn20t18x3N6iwslGSlNc9Rn84r79O73tsPxMAANA1gqoAHqvi4mKdeeaZys7O1uzZs1Ve/t2lSLp3725issC0t7ZJ97%2B/UfPXl0qSUmMc%2Bt05/XTpiEyF2LmcCwAA/saSBfCTTz7R9u3btX37dmVmZnZ4Loj2iPtcq9ujeV/s1JMLt6mxxa0Qu01Tx%2BXotgl9FBMRZnY8AABwBEF1DGBXs/IxBJtL6/S7v6/ThuL2S%2BHkZyfo/smDOM4PAOD3rPz5fZAlJ4A4ca1uj55bvENzFm1Tq9tQXGSYZpzfX/81IlN2dvcCABAQKIA4ZlvL6nXHW2u9U78J/dP00M8GKTU2wuRkAADgeFAAcVSGYej1r4t037%2B/lavNo7jIMN130UBdPCyde/YCABCAKID4UbVNrfrD2%2Bu9d/I4vW%2BKZv/XEKZ%2BAAAEMAogjuibPTX6zf9breKaJoXabbrrp/103am5HOsHAECAowDisN5evUfT316vljaPshKjNOe/h2uYM97sWAAAoBNQANFBm9ujWR9u1ktLd0qSfpKXqj9dMUyxXNcPAICgQQGEV31zq256bbU%2B31YhSbr5rN66Y2JfdvkCABBkKICQJO2ra9bUeSu0cW%2BdosJDNPvnQ3Xe4B5mxwIAAD5AAYR2lDdoystfa091k5K7hWve1NEanBlndiwAAOAjFECL21Bcq2te%2BkrVja3KSYrSX64do6ykKLNjAQAAH6IAWtj6PbW6%2BqWvVNvUqqGZcXp56igldXOYHQsAAPgYBdCivtlTo6tf/Ep1zW0akRWvV68drRjO9AUAwBIogBa0aW%2Bdt/zlZyfolWtHq5uDXwUAAKzCbnYAdK2iqkZNeflryh8AABZGAbSQygaXprz8tfbVu5TXPUYvTR1F%2BQMAwIIogBbR3OrWdX9ZqYKK/cqIj9Sr145WXCTH/AEAYEUUQAswDEMz3tmgNbtrFBcZpr/8arTSYiPMjgUAAExCAbSAeV8U6p%2Br98huk56%2BcoR6pXQzOxIAADARBTDIfVVQqQfnb5IkzTh/gE7tk2xyIgAAYDYKYBCraWzRbW%2Buldtj6JLhGbp2fI7ZkQAAgB%2BgAAYpwzA0/Z/rtbe2WT2To3X/5EGy2WxmxwIAAH6AAhik3lxRpI%2B%2BLVVYiE1zrhiuaC73AgAADqAABqHS2mY9%2BEH7cX%2B/m9RPgzPjTE4EAAD8CQUwCM18b4PqXW0a5ozXdaflmh0HAAD4GQpgkPlow14t%2BLZMoXabHr50sELsHPcHAAA6ogAGkaYWt%2B7790ZJ0q/PyFVe91iTEwEAAH9EAQwiLy0t0N7aZqXHRei3Z/cxOw4AAPBTFMAgsa%2B%2BWc8u3iFJuvvcPEWEhZicCAAA%2BCsKYJB4cuE27W9xa6gzXhcOSTc7DgAA8GMUwCBQXNOkv68skiTNOK%2B/7Jz4AQAAfgQFMAg8t3iHWt2GxuYmaXTPRLPjAAAAP0cBDHCltc16c0X79O%2BWn3DiBwAAODoKYICb98VOtbg9GpWToFNymf4BAICjowAGsKYWt944MP274fRestk49g8AABwdBTCAvbeuWLVNrcpMiNTZealmxwEAAAGCAhigDMPQK8t2SZKuOSWbW74BAIBjRgEMUN/sqdWmvXVyhNp1%2BSin2XEAAEAAsXwBdLlcGjZsmGw2m9auXWt2nGP2zppiSdKkgd0VHxVuchoAABBILF8A77rrLqWnB9adM1rdHv17XYkk6ZLhGSanAQAAgcbSBfDDDz/Uxx9/rNmzZ5sd5bgs2Vquyv0tSu4WrtP6JJsdBwAABJhQswOYpaysTNdff73%2B9a9/KSoq6phe43K55HK5vF/X1dX5Kt6POjj9u3BoukJDLN3hAQDACbBkezAMQ1OnTtWNN96o/Pz8Y37drFmzFBcX5304nV1/8kWr26NFm/dJks4b3KPLvz8AAAh8QVUAp0%2BfLpvN9qOPzZs3a%2B7cuaqvr9c999xzXO9/zz33qLa21vsoKiry0Z/kyFYUVqmuuU2J0eEakZXQ5d8fAAAEvqDaBXznnXdq6tSpP7pObm6uFi1apOXLl8vhcHR4Lj8/X1dddZVeffXVw77W4XAc8pqu9snGMknS2XmpXPsPAACckKAqgCkpKUpJSTnqenPmzNEDDzzg/bqkpETnnHOO3nzzTY0ZM8aXEU%2BKYRhauKm9AE4ckGZyGgAAEKiCqgAeq6ysrA5fd%2BvWTZLUq1cvZWZmmhHpmBRVNamoqkmhdptO7c3ZvwAA4MQE1TGAwW55QYUkaXhWvKIdluzuAACgE9AiJOXk5MgwDLNjHNWyHZWSpLG5SSYnAQAAgYwJYIAwDOO7AtiL3b8AAODEUQADxM6K/Sqvd8kRatfwrHiz4wAAgABGAQwQa4tqJEmDM%2BIUERZibhgAABDQKIABYt2BAjjUGW9qDgAAEPgogAFi7Z5aSdKQzDiTkwAAgEBHAQwALW0ebSqpkyQNYwIIAABOEgUwAGwurVOL26P4qDBlJUaZHQcAAAQ4CmAA2LS3ffo3KD1ONhv3/wUAACeHAhgAtpY1SJL6pHUzOQkAAAgGFMAAsLWsXpLUNy3G5CQAACAYUAADwLYDE8C%2BTAABAEAnoAD6udqmVpXWNUuSeqcyAQQAACePAujntu9rn/51j41QXGSYyWkAAEAwoAD6ucKK/ZKk3JRok5MAAIBgQQH0c0XVjZLE9f8AAECnoQD6ud1V7QXQSQEEAACdhALo5/ZUNUmSMhMiTU4CAACCBQXQz7ELGAAAdDYKoB9ztbm9l4BhFzAAAOgsFEA/VlLTLMOQIsNClBQdbnYcAAAQJCiAfqzswPSve1yEbDabyWkAAECwoAD6sX31LklSSozD5CQAACCYUAD9WPmBAphKAQQAAJ2IAujH9tW37wJOjYkwOQkAAAgmFEA/Vl53YAIYywQQAAB0HgqgH9vHLmAAAOADFEA/xi5gAADgCxRAP1bR0CJJSo7hGoAAAKDzUAD9lMdjqKaxvQAmRlEAAQBA56EA%2BqmGljZ5jPb/jo0MMzcMAAAIKhRAP1Xb2CpJigizKyIsxOQ0AAAgmFAA/VTNgQIYH8nuXwAA0LkogH6qtqm9AMax%2BxcAAHQyCqCfqmlqPwEkLooCCAAAOhcF0E99twuYAggAADoXBdBPsQsYAAD4CgXQT1EAAQCAr1AA/dR%2BV5skqVtEqMlJAABAsLF0Afzggw80ZswYRUZGKiEhQZMnTzY7kldji1uSFBXONQABAEDnsux46Z///Keuv/56PfTQQzr77LPV1tamDRs2mB3Lq7GlfQIYFW7ZHxEAAPARS7aLtrY23XrrrXrsscf0q1/9yrt8wIABJqbqiAkgAADwFUvuAl69erWKi4tlt9s1fPhw9ejRQ%2Beee%2B5RJ4Aul0t1dXUdHr5y8BhAJoAAAKCzWbIAFhQUSJLuvfde/fGPf9T777%2BvhIQEnXnmmaqqqjri62bNmqW4uDjvw%2Bl0%2BizjwQlgtIMJIAAA6FxBVQCnT58um832o4/NmzfL4/FIkmbMmKFLL71UI0eO1Lx582Sz2fT3v//9iO9/zz33qLa21vsoKiry2Z%2BFXcAAAMBXgmr/4p133qmpU6f%2B6Dq5ubnau3evpI7H/DkcDuXm5mr37t1HfK3D4ZDD4eiUrEfzXQEMqh8RAADwA0HVLlJSUpSSknLU9UaOHCmHw6EtW7bo1FNPlSS1traqsLBQ2dnZvo55TL47C5gJIAAA6FxBVQCPVWxsrG688UbNnDlTTqdT2dnZeuyxxyRJP//5z01OJ3k8hppamQACAADfsGy7eOyxxxQaGqprrrlGTU1NGjNmjBYtWqSEhASzo6m5zS3DaP9vJoAAAKCzWbYAhoWFafbs2Zo9e7bZUQ5x8Pg/SYoMowACAIDOFVRnAQcLV1v7WcrhoXbZ7TaT0wAAgGBDAfRDrQcLYAg/HgAA0PloGH6oxf3dBBAAAKCz0TD8UMuBCWBYCLt/AQBA56MA%2BiEmgAAAwJdoGH6ohWMAAQCAD9Ew/FCr%2B%2BAuYH48AACg89Ew/NDBCaCDXcAAAMAHaBh%2BiAkgAADwJRqGH/r%2BhaABAAA6Gw3DD7VQAAEAgA/RMPxQq9uQxC5gAADgGzQMP9TS5pbEBBAAAPgGDcMPHbwQtIMJIAAA8AEahh9iFzAAAPAlGoYf4ixgAADgS6FmB8ChzuyXotiIUPXvEWt2FAAAEIQogH5oRFaCRmQlmB0DAAAEKfYxAgAAWAwFEAAAwGIogAAAABZDAQQAALAYCiAAAIDFUAABAAAshgIIAABgMRRAAAAAi6EAAgAAWAwFEAAAwGIogAAAABZDAQQAALAYCiAAAIDFhJodIJAZhiFJqqurMzkJAAA4Vgc/tw9%2BjlsRBfAk1NfXS5KcTqfJSQAAwPGqr69XXFyc2TFMYTOsXH9PksfjUUlJiWJiYmSz2Trtfevq6uR0OlVUVKTY2NhOe190xHbuOmzrrsF27jps667hq%2B1sGIbq6%2BuVnp4uu92aR8MxATwJdrtdmZmZPnv/2NhY/mHpAmznrsO27hps567Dtu4avtjOVp38HWTN2gsAAGBhFEAAAACLoQD6IYfDoZkzZ8rhcJgdJaixnbsO27prsJ27Dtu6a7CdfYeTQAAAACyGCSAAAIDFUAABAAAshgIIAABgMRRAAAAAi6EAmuTpp59WTk6OIiIiNGbMGH399dc/uv7f//535eXlKSIiQoMHD9b8%2BfO7KGlgO57t/MILL%2Bi0005TQkKCEhISNGHChKP%2BXPCd4/2dPuiNN96QzWbT5MmTfRswSBzvdq6pqdG0adPUo0cPORwO9e3bl38/jsHxbucnn3xS/fr1U2RkpJxOp26//XY1Nzd3UdrAtWTJEl144YVKT0%2BXzWbTv/71r6O%2BZvHixRoxYoQcDod69%2B6tV155xec5g5KBLvfGG28Y4eHhxssvv2x8%2B%2B23xvXXX2/Ex8cbZWVlh13/iy%2B%2BMEJCQoxHH33U2Lhxo/HHP/7RCAsLM9avX9/FyQPL8W7nK6%2B80nj66aeNNWvWGJs2bTKmTp1qxMXFGXv27Oni5IHneLf1QTt37jQyMjKM0047zbj44ou7JmwAO97t7HK5jPz8fOO8884zli5dauzcudNYvHixsXbt2i5OHliOdzu/9tprhsPhMF577TVj586dxoIFC4wePXoYt99%2BexcnDzzz5883ZsyYYbz99tuGJOOdd9750fULCgqMqKgo44477jA2btxozJ071wgJCTE%2B%2BuijrgkcRCiAJhg9erQxbdo079dut9tIT083Zs2addj1L7vsMuP888/vsGzMmDHGr3/9a5/mDHTHu51/qK2tzYiJiTFeffVVX0UMGieyrdva2oxx48YZL774ojFlyhQK4DE43u387LPPGrm5uUZLS0tXRQwKx7udp02bZpx99tkdlt1xxx3G%2BPHjfZoz2BxLAbzrrruMgQMHdlh2%2BeWXG%2Becc44PkwUndgF3sZaWFq1atUoTJkzwLrPb7ZowYYKWL19%2B2NcsX768w/qSdM455xxxfZzYdv6hxsZGtba2KjEx0Vcxg8KJbuv//d//VWpqqn71q191RcyAdyLb%2Bb333tPYsWM1bdo0paWladCgQXrooYfkdru7KnbAOZHtPG7cOK1atcq7m7igoEDz58/Xeeed1yWZrYTPw84TanYAq6moqJDb7VZaWlqH5Wlpadq8efNhX1NaWnrY9UtLS32WM9CdyHb%2Bobvvvlvp6emH/GODjk5kWy9dulQvvfSS1q5d2wUJg8OJbOeCggItWrRIV111lebPn6/t27frpptuUmtrq2bOnNkVsQPOiWznK6%2B8UhUVFTr11FNlGIba2tp044036g9/%2BENXRLaUI30e1tXVqampSZGRkSYlCzxMAIHDePjhh/XGG2/onXfeUUREhNlxgkp9fb2uueYavfDCC0pOTjY7TlDzeDxKTU3Vn//8Z40cOVKXX365ZsyYoeeee87saEFl8eLFeuihh/TMM89o9erVevvtt/XBBx/o/vvvNzsacERMALtYcnKyQkJCVFZW1mF5WVmZunfvftjXdO/e/bjWx4lt54Nmz56thx9%2BWAsXLtSQIUN8GTMoHO%2B23rFjhwoLC3XhhRd6l3k8HklSaGiotmzZol69evk2dAA6kd/pHj16KCwsTCEhId5l/fv3V2lpqVpaWhQeHu7TzIHoRLbz//zP/%2Biaa67RddddJ0kaPHiw9u/frxtuuEEzZsyQ3c6spbMc6fMwNjaW6d9x4reyi4WHh2vkyJH69NNPvcs8Ho8%2B/fRTjR079rCvGTt2bIf1JemTTz454vo4se0sSY8%2B%2Bqjuv/9%2BffTRR8rPz%2B%2BKqAHveLd1Xl6e1q9fr7Vr13ofF110kc466yytXbtWTqezK%2BMHjBP5nR4/fry2b9/uLdiStHXrVvXo0YPydwQnsp0bGxsPKXkHS7dhGL4La0F8HnYis89CsaI33njDcDgcxiuvvGJs3LjRuOGGG4z4%2BHijtLTUMAzDuOaaa4zp06d71//iiy%2BM0NBQY/bs2camTZuMmTNnchmYY3C82/nhhx82wsPDjX/84x/G3r17vY/6%2Bnqz/ggB43i39Q9xFvCxOd7tvHv3biMmJsa4%2BeabjS1bthjvv/%2B%2BkZqaajzwwANm/RECwvFu55kzZxoxMTHG66%2B/bhQUFBgff/yx0atXL%2BOyyy4z648QMOrr6401a9YYa9asMSQZTzzxhLFmzRpj165dhmEYxvTp041rrrnGu/7By8D8/ve/NzZt2mQ8/fTTXAbmBFEATTJ37lwjKyvLCA8PN0aPHm18%2BeWX3ufOOOMMY8qUKR3Wf%2Butt4y%2Bffsa4eHhxsCBA40PPvigixMHpuPZztnZ2YakQx4zZ87s%2BuAB6Hh/p7%2BPAnjsjnc7L1u2zBgzZozhcDiM3Nxc48EHHzTa2tq6OHXgOZ7t3Nraatx7771Gr169jIiICMPpdBo33XSTUV1d3fXBA8x//vOfw/67e3D7TpkyxTjjjDMOec2wYcOM8PBwIzc315g3b16X5w4GNsNgPg0AAGAlHAMIAABgMRRAAAAAi6EAAgAAWAwFEAAAwGIogAAAABZDAQQAALAYCiAAAIDFUAABWEJOTo6efPJJn7z3K6%2B8ovj4%2BCM%2BP3XqVE2ePNkn3xsATgQFEEDAKyoq0rXXXqv09HSFh4crOztbt956qyorK82OBgB%2BiQIIIKAVFBQoPz9f27Zt0%2Buvv67t27frueee06effqqxY8eqqqrK7IgA4HcogAAC2rRp0xQeHq6PP/5YZ5xxhrKysnTuuedq4cKFKi4u1owZMw77uieeeEKDBw9WdHS0nE6nbrrpJjU0NHif37Vrly688EIlJCQoOjpaAwcO1Pz58yVJixcvls1mU01NzWHf%2B95779WwYcOOmHnFihVKSUnRI488csJ/bgA4GRRAAAGrqqpKCxYs0E033aTIyMgOz3Xv3l1XXXWV3nzzTR3ulud2u11z5szRt99%2Bq1dffVWLFi3SXXfd5X1%2B2rRpcrlcWrJkidavX69HHnlE3bp1O%2BnMixYt0sSJE/Xggw/q7rvvPun3A4ATEWp2AAA4Udu2bZNhGOrfv/9hn%2B/fv7%2Bqq6tVXl5%2ByHO33Xab979zcnL0wAMP6MYbb9QzzzwjSdq9e7cuvfRSDR48WJKUm5t70nnfeecd/eIXv9CLL76oyy%2B//KTfDwBOFAUQQMA73ITvaBYuXKhZs2Zp8%2BbNqqurU1tbm5qbm9XY2KioqCjdcsst%2Bs1vfqOPP/5YEyZM0KWXXqohQ4accMavvvpK77//vv7xj39wRjAA07ELGEDA6t27t2w2mzZt2nTY5zdt2qSEhASlpKR0WF5YWKgLLrhAQ4YM0T//%2BU%2BtWrVKTz/9tCSppaVFknTdddepoKBA11xzjdavX6/8/HzNnTv3hLP26tVLeXl5evnll9Xa2nrC7wMAnYECCCBgJSUlaeLEiXrmmWfU1NTU4bnS0lK99tpruvzyy2Wz2To8t2rVKnk8Hj3%2B%2BOM65ZRT1LdvX5WUlBzy/k6nUzfeeKPefvtt3XnnnXrhhRdOOGtycrIWLVqk7du367LLLqMEAjAVBRBAQHvqqafkcrl0zjnnaMmSJSoqKtJHH32kiRMnKiMjQw8%2B%2BOAhr%2Bndu7daW1s1d%2B5cFRQU6K9//auee%2B65DuvcdtttWrBggXbu3KnVq1frP//5zxGPNTxWqampWrRokTZv3qz//u//Vltb20m9HwCcKAoggIDWp08frVy5Urm5ubrsssvUq1cv3XDDDTrrrLO0fPlyJSYmHvKaoUOH6oknntAjjzyiQYMG6bXXXtOsWbM6rON2uzVt2jT1799fP/3pT9W3b1/vCSIno3v37lq0aJHWr1%2Bvq666Sm63%2B6TfEwCOl804kaOnAQAAELCYAAIAAFgMBRAAAMBiKIAAAAAWQwEEAACwGAogAACAxVAAAQAALIYCCAAAYDEUQAAAAIuhAAIAAFgMBRAAAMBiKIAAAAAWQwEEAACwmP8PSpgfHnZZbVwAAAAASUVORK5CYII%3D"
     },
     "metadata": {
      "image/png": {
       "height": 480,
       "width": 640
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure(640x480)"
     ]
    }
   ],
   "source": [
    "figür = plt.figure!\n",
    "\n",
    "plt.plot x y\n",
    "plt.xlabel \"Olasılık\"\n",
    "plt.ylabel \"Logit\"\n",
    "\n",
    "figür"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Idg",
   "language": "dg",
   "name": "idg"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "python"
   },
   "file_extension": ".dg",
   "mimetype": "text/dg",
   "name": "Dg",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}