Section 8-43 Python for Data Visualization - Matplotlib Part 2.ipynb

{
 "cells":[
  {
   "cell_type":"code",
   "source":[
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "x = np.linspace(0, 5, 11)\n",
    "y = x ** 2"
   ],
   "execution_count":1,
   "outputs":[
    
   ],
   "metadata":{
    "datalore":{
     "node_id":"BHerJpmHd2JD65ZrnPcptj",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "fig = plt.figure()\n",
    "\n",
    "axes1 = fig.add_axes([0.1, 0.1, 0.8, 0.8])\n",
    "axes1.plot(x, y)"
   ],
   "execution_count":2,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7fc22ed36e20>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"NpbPzO8PGbO7qsOpHLXd8M",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "fig, axes = plt.subplots() # almost the same as before but with subplots you can specify number of rows and columns\n",
    "\n",
    "axes.plot(x, y)"
   ],
   "execution_count":5,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7fc22c9a64c0>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       "iVBORw0KGgoAAAANSUhEUgAAAXAAAAD4CAYAAAD1jb0+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy\/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAdP0lEQVR4nO3dd3xV9f3H8deHEDZhJUAYYe+IjBhQcdQ6cNTRYYuCqCj4c9TRWq21v1rrrz9bq239tVrZiCg4sO49iooCCTNhKBsCIWFlknm\/vz9ypZGChOTee+54Px+PPHJzcnPP+0p4++V8zzlfc84hIiKRp5HXAUREpH5U4CIiEUoFLiISoVTgIiIRSgUuIhKhGodyZ4mJia5nz56h3KWISMTLzMzc65xLOnJ7SAu8Z8+eZGRkhHKXIiIRz8y2HW27DqGIiEQoFbiISIRSgYuIRCgVuIhIhFKBi4hEqOMWuJl1N7OPzGytmWWb2e3+7Q+YWY6ZrfR\/XBT8uCIi8rW6nEZYBfzMObfczFoDmWb2nv97f3bO\/Sl48URE5FiOOwJ3zu12zi33Py4C1gFdgx1MRCQaHKqo5oFXszlQUhHw1z6hY+Bm1hMYDizxb7rVzFab2Uwza3eMn5lsZhlmlpGfn9+wtCIiEcQ5x70LVzPn862s2nkw4K9f5wI3s1bAS8AdzrlC4EmgDzAM2A08erSfc85Ndc6lOefSkpL+40pQEZGoNXXRZl5ZuYufnz+Aswd0DPjr16nAzSyemvKe55xbCOCc2+Ocq3bO+YBpQHrA04mIRKh\/fZnPH95ez8UnJXPz2X2Cso+6nIViwAxgnXPusVrbk2s97QogK\/DxREQiz5a9Jdz27HL6d2rNIz8aSk2NBl5dzkI5HZgArDGzlf5t9wHjzGwY4ICtwJQg5BMRiShFZZXc+HQGcY2Madek0aJJ8O4ZeNxXds59Chztfx9vBj6OiEjk8vkcdy5YxZa9JcydlE739i2Cuj9diSkiEiB\/ef9L3l+3h19fPIjT+iQGfX8qcBGRAHhrzW4e\/3AjV6Z1Y+JpPUOyTxW4iEgDrc8t5GcvrGJ4Slt+d3lq0CYtj6QCFxFpgAMlFdz4dAatmzXmqfEjado4LmT7DumSaiIi0aSq2sctzy5nT0E5C6aMpmNCs5DuXwUuIlJPv39zPYs37eORHw5leMpR7yYSVDqEIiJSDy9m7mTmZ1u47vSe\/CituycZVOAiIido5Y6D3PfyGk7r04FfXTTIsxwqcBGRE5BXWMaUuRl0SmjK368aQeM472pUx8BFROqovKqaKc9kUnioioU3n0a7lk08zaMCFxGpA+cc\/\/3PbFZsP8iTV49gUHKC15F0CEVEpC6e\/nwbCzJ2cNs5fbnwpOTj\/0AIqMBFRI7j8037ePD1tZw7qCN3ntvf6ziHqcBFRL7Fjv2l3Dwvk16JLfnzj4fRqFFoLpOvCxW4iMgxlFZUMXluJtU+x7Rr0mjdLN7rSN+gSUwRkaNwznH3i6vZkFvIzGtPoVdiS68j\/QeNwEVEjuKJjzfxxurd3DN2YFAWJA4EFbiIyBE+XL+HP727gUtP7sLkM3t7HeeYVOAiIrVszCvm9udWMqRLAn\/4QfAWJA4EFbiIiF\/BoUomP51Bk8aNeGpCGs2bhO7e3vWhSUwREaDa57hj\/gq27y\/l2RtH07Vtc68jHZcKXEQEePTdDXy0IZ+HLk8lvVd7r+PUiQ6hiEjMe23VLp74eBPj0lMYP7qH13HqTAUuIjEte1cBd7+4irQe7fjtpUO8jnNCVOAiErP2FZcz+elM2rVowpPjR9KkcWRVoo6Bi0hMqqz2cfO85ewtLueFm04lqXVTryOdMBW4iMSkh15fy5It+\/nLj4cxtFtbr+PUS2T9e0FEJAAWLNvOnM+3MfnM3lw+vKvXcepNBS4iMSVz237u\/2cWZ\/RL5J6xA72O0yAqcBGJGbkFZdz0zHK6tm3O38aNIC6M7u1dHzoGLiIxoayymilzMygtr2LeDaNo0yK87u1dH8cdgZtZdzP7yMzWmlm2md3u397ezN4zs6\/8n9sFP66IyInz+Rz3vLSaVTsL+POPh9G\/U2uvIwVEXQ6hVAE\/c84NBkYDt5jZYOBe4APnXD\/gA\/\/XIiJhxTnH\/7y5jldW7uIXYwdw\/pDOXkcKmOMWuHNut3Nuuf9xEbAO6ApcBszxP20OcHmQMoqI1NvURZuZ8ekWrj2tJ\/91Vh+v4wTUCU1imllPYDiwBOjknNvt\/1Yu0OkYPzPZzDLMLCM\/P78hWUVETsiLmTv537fWc8nQZP77ksFhfW\/v+qhzgZtZK+Al4A7nXGHt7znnHOCO9nPOuanOuTTnXFpSUlKDwoqI1NVH6\/O456XVjOmbyKNXnhxWq8kHSp0K3MziqSnvec65hf7Ne8ws2f\/9ZCAvOBFFRE7M8u0HuHnecgYnJ\/CPCSNp2ji8F2aor7qchWLADGCdc+6xWt96FZjofzwReCXw8URETszGvCKun72MTglNmXXdKbRqGr1nS9flnZ0OTADWmNlK\/7b7gIeB581sErANuDIoCUVE6mh3wSGumbGUxo0a8fT1o0hsFXk3qDoRxy1w59ynwLEOHn03sHFEROqnoLSSiTOXUlhWxfzJo0np0MLrSEGnS+lFJOKVVVYzac4ytu4tZeqEkaR2beN1pJCI3oNDIhITqqp93PrsCjK3H+Bv40ZwWt9EryOFjEbgIhKxnHP86uUs3l+3hwcvHcLFQ5O9jhRSKnARiViPvvslCzJ28NNz+jLh1J5exwk5FbiIRKQ5i7fyt482Mi69O3ee19\/rOJ5QgYtIxHl99S4eeC2b8wd34neXpUbdJfJ1pQIXkYjy2ca93LlgJaf0aM\/j44bTOC52ayx237mIRJysnAKmzM2kd2Irpl2TRrP46LxEvq5U4CISEbbtK+HaWUtp0zyeOdenR8WKOg2lAheRsJdfVM6EGUup9jnmXJ9O5zbNvI4UFnQhj4iEtaKySq6dtZT8onKevXEUfTu28jpS2NAIXETCVnlVNVPmZrIht4gnx49geIqW3q1NI3ARCUs+n+Ou51exeNM+HrvyZM4e0NHrSGFHI3ARCTvOOX77WjZvrN7NfRcN5PsjunkdKSypwEUk7Dzx8SbmfL6NG8\/oxeQzo2sh4kBSgYtIWJm\/dDuPvLOBK4Z35ZcXDvI6TlhTgYtI2Hhv7R7ue3kNZ\/VP4o8\/HBqVCxEHkgpcRMLCsq37ufXZ5ZzUrS1PXD2C+Bi+RL6u9F9IRDy3IbeISbOX0bVdc2Zdewoto3gh4kBSgYuIp3IOHmLizKU0bxLH09en075lE68jRQz9b05EPHOgpIJrZiyhpKKKF246lW7ton8h4kBSgYuIJ0orqrhu9jJ2HDjE3OvTGdg5wetIEUeHUEQk5Cqrfdwybzmrdx7k\/8YNZ1TvDl5HikgagYtISDnnuOel1Xy0IZ\/fX3ESFwzp7HWkiKURuIiE1MNvr2fh8hzuOq8\/V41K8TpORNMIXERCwjnHo+9+yVP\/2syE0T247Zy+XkeKeCpwEQk65xz\/+9Z6pi7azLj07vz20iExuxBxIKnARSSoau4suJbZi7dyzak9eOB7Q3SJfICowEUkaHw+x69fyWLeku1MGtOL+y8epJF3AKnARSQoqn2OXy5czfMZO\/mvs\/vwiwsGqLwD7LhnoZjZTDPLM7OsWtseMLMcM1vp\/7gouDFFJJJUVfv4+QureD5jJ7d\/t5\/KO0jqchrhbGDsUbb\/2Tk3zP\/xZmBjiUikqqz2cfuClby8Ioe7LxjAnef1V3kHyXEPoTjnFplZzxBkEZEIV1Hl47bnlvNO9h7uu2igVtMJsoZcyHOrma32H2I55lLRZjbZzDLMLCM\/P78BuxORcFZWWc1Nz2TyTvYefvO9wSrvEKhvgT8J9AGGAbuBR4\/1ROfcVOdcmnMuLSkpqZ67E5FwVlZZzY1PZ\/Dh+jz+54pUrju9l9eRYkK9zkJxzu35+rGZTQNeD1giEYkopRVVTJqdwRdb9vHHHw7lyrTuXkeKGfUagZtZcq0vrwCyjvVcEYlexeVVXDtzGUu27OOxK09WeYfYcUfgZvYccDaQaGY7gd8AZ5vZMMABW4EpwYsoIuGo4FAl185ayuqdBfz1J8P53sldvI4Uc+pyFsq4o2yeEYQsIhIhDpZWcM3MpazbXcjfrxrB2FTdEtYLuhJTRE7I\/pIKxk9fwsa8Yv4xfiTfHdTJ60gxSwUuInWWX1TO1dO\/YNu+UqZPTOPM\/jqzzEsqcBGpkz2FZVw17Qt2HSxj1rWncFrfRK8jxTwVuIgc166Dh7hq2hfkF5Uz5\/p00nu19zqSoAIXkePYsb+Uq6Z\/wcGSSp6eNIqRPY554bWEmApcRI5p694Srpr2BSUV1cy7cRRDu7X1OpLUogIXkaPamFfM1dO\/oKLKx7M3jmJIlzZeR5IjqMBF5D9syC3i6ulLAMf8yacyoHNrryPJUajAReQb1u4qZPyMJTRuZDx746n07djK60hyDA25nayIRJk1OwsYN+0LmjZuxIIpKu9wpxG4iACwfPsBJs5cSkKzeOZPHk339i28jiTHoRG4iLBs634mTF9C+5ZNeP6mU1XeEUIjcJEYt3jTXibNziC5bTOevWE0nds08zqS1JFG4CIxbNGX+Vw3axnd2jVn\/mSVd6TRCFwkRn20Po8pz2TSJ6kVz0xKp0Orpl5HkhOkAheJQW+u2c3t81cwsHMCcyel07ZFE68jST2owEViiHOOJz7exCPvbGBkj3bMvPYU2jSP9zqW1JMKXCRGlFdV88uFa1i4PIfLhnXhDz8YSrP4OK9jSQOowEViwP6SCqbMzWDZ1gPceW5\/fvrdvpiZ17GkgVTgIlFuY14R18\/OILewjMfHDedSLT4cNVTgIlHsk6\/yuXnecpo2jmP+5NGMSNG9vKOJClwkSs39YhsPvJpNv46tmD4xjW7tdHVltFGBi0SZqmofD72xjtmLt3LOwI48Pm44rZrqr3o00p+qSBQpKqvktudW8PGGfCaN6cV9Fw0irpEmK6OVClwkSuzYX8oNczLYmF\/MQ5enMn50D68jSZCpwEWiQOa2A0yZm0F5lY8516Uzpl+i15EkBFTgIhHulZU53P3iapLbNGP+5FO0CEMMUYGLRCjnHH95\/yv++sFXpPdszz8mjKR9S93TJJaowEUiUFllNXe\/uJrXVu3iByO68fvvp9K0sS6LjzUqcJEIk19UzuS5GazYfpB7xg7kprN667L4GKUCF4kg63MLmTQ7g30l5fxj\/AjGpiZ7HUk8dNwVecxsppnlmVlWrW3tzew9M\/vK\/1nX54oE2Yfr9\/CDJxZT5fPxwpTTVN5SpyXVZgNjj9h2L\/CBc64f8IH\/axEJAuccMz\/dwg1zMuiZ2JJXbhnDSd3aeB1LwsBxC9w5twjYf8Tmy4A5\/sdzgMsDG0tEACqrfdz\/zywefH0t5w7qxAs3nap1K+Ww+h4D7+Sc2+1\/nAt0OtYTzWwyMBkgJSWlnrsTiT0Fhyq5Zd5yPt24l5vO6sMvLhhAI10WL7U0eBLTOefMzH3L96cCUwHS0tKO+TwR+bdt+0q4fvYytu8v5Y8\/HMqVad29jiRhqL4FvsfMkp1zu80sGcgLZCiRWLZk8z5ueiYTB8ydNIrRvTt4HUnCVF0mMY\/mVWCi\/\/FE4JXAxBGJbS9m7mT8jCW0a9GEl28+XeUt3+q4I3Azew44G0g0s53Ab4CHgefNbBKwDbgymCFFop3P5\/jTuxt44uNNnNanA09ePZI2LbRavHy74xa4c27cMb713QBnEYlJpRVV3LVgFW9n5zIuPYUHLxtCfFx9\/3EssURXYop4aE9hGTfMySBrVwH3XzyISWN66bJ4qTMVuIhHPtu4lzsXrKS4vIppE9I4d\/Axz8YVOSoVuEiIVVT5ePTdDUz9ZDO9E1sy5\/p0BiUneB1LIpAKXCSENuYVc\/v8FWTvKuSqUSn8+uLBNG+i28BK\/ajARULAOcdzS3fw4OvZNI+P46kJI7lgSGevY0mEU4GLBNmBkgruXbiad7L3cHrfDjx25TA6Jeh+JtJwKnCRIPps417uen4l+0sq+NVFNWeZ6H4mEigqcJEgOHKicsbEU0jtqlvASmCpwEUCbGNeMXcsWEFWjiYqJbhU4CIBoolKCTUVuEgAaKJSvKACF2mg2hOV9100kBvG9NZEpYSEClyknmpPVPbSRKV4QAUuUg+b8muuqNREpXhJBS5yApxzzF+2gwdfW0vT+EaaqBRPqcBF6kgTlRJuVOAidaCJSglHKnCRb6GJSglnKnCRYzhyovL+iwfRoon+ykj40G+jyBE0USmRQgUuUosmKiWSqMBF\/BZv3Mtdz69iX0m5JiolIqjAJeaVV1Xz2HtfMnVRzUTl9Imna6JSIoIKXGLah+v38OBra9m6r5Rx6Sn8+hJNVErk0G+qxKRN+cX87vW1fLwhn95JNSvDn9U\/yetYIidEBS4xpaiskv\/7cCOzPttCs8Zx3H\/xIK45tSdNGjfyOprICVOBS0zw+RwLV+Tw8Fvr2VtczpVp3bj7goEktW7qdTSRelOBS9RbueMgv3k1m1U7DjI8pS0zJqZxcve2XscSaTAVuEStvKIyHnl7Ay9k7iSpdVMe\/dHJXDG8q04NlKihApeoU1HlY87irfz1g68or6pmylm9ue2cfrRqql93iS4N+o02s61AEVANVDnn0gIRSqS+Pt6Qx4Ovr2VzfgnfGZDEry8ZTO+kVl7HEgmKQAxJvuOc2xuA1xGpt617S3jojbW8vy6PXoktmXltGucM7OR1LJGg0r8pJaKVlFfxt482MuOTLcTHGfdeOJDrTu9J08Za3kyiX0ML3AHvmpkDnnLOTT3yCWY2GZgMkJKS0sDdidRwzvHPlTWnBe4pLOf7I7py79iBdNSNpySGNLTAxzjncsysI\/Cema13zi2q\/QR\/qU8FSEtLcw3cnwhrdhbwwGvZZG47wNBubXhy\/EhGpLTzOpZIyDWowJ1zOf7PeWb2MpAOLPr2nxKpn73F5fzpnQ0syNhBh5ZN+OMPhvLDkd10WqDErHoXuJm1BBo554r8j88HHgxYMhG\/ymofT3++jb+8\/yWHKqqZdHovfnpuPxKaxXsdTcRTDRmBdwJeNrOvX+dZ59zbAUkl4vfpV3t54LVsNuYVc0a\/RH7zvcH07dja61giYaHeBe6c2wycHMAsIoft2F\/KQ2+s5Z3sPaS0b8HUCSM5b3An\/AMGEUGnEUqYKa2o4smPN\/HUos3EmXH3BQOYNKYXzeJ1WqDIkVTgEhYqq328tmoXj7yzgd0FZVw2rAv3XjiQ5DbNvY4mErZU4OKp4vIq5i\/dzqzPtpJz8BCDkxN4fNxwTunZ3utoImFPBS6eyC0oY9biLTy7ZDtFZVWk92rPby8dwjkDO+q0QJE6UoFLSG3ILWLqos28uiqHap\/jwtRkbjyzN8N0f26RE6YCl6BzzrF40z6mLtrMv77Mp3l8HFelpzBpTG9SOrTwOp5IxFKBS9BUVvt4c81upi7aTPauQhJbNeHn5\/fn6lE9aNeyidfxRCKeClwC7siJyd5JLXn4+ydx+fCuOh1QJIBU4BIwewrLmPXZVuYt2aaJSZEQUIFLg23ILWLaJ5t5ZeW\/JyZvOKMXw3WHQJGgUoFLvTjn+HzTPp7SxKSIZ1TgckK+npic9slmsnI0MSniJRW41IkmJkXCjwpcvpUmJkXClwpcjkoTkyLhTwUuhxWVVfLh+jwWLs\/5xsTk9WN60aNDS6\/jicgRVOAx7mBpBe+t3cPbWbl88tVeKqp9dGzdlJ+d15\/xozUxKRLOVOAxKL+onHfX5vJ2Vi6fb9pHlc\/RtW1zJpzagwtTOzMipZ2Ob4tEABV4jMgtKOPtrN28lZXLsq378Tno2aEFN5zRmwtTOzO0WxstVyYSYVTgUWzH\/lLe8pf2iu0HAejfqRW3ntOPC1M7M7Bza5W2SARTgUeZjXnFh0fa2bsKARjSJYG7LxjA2NTO9Elq5XFCEQkUFXiEc86xPreIt7JyeTtrN1\/uKQZgeEpb7rtoIGOHJOvSdpEopQKPQM45Vu8sOFzaW\/eV0sjglJ7teeB7g7kgtbMWAxaJASrwCOHzOZZvP8Cba3J5JzuXnIOHiGtknNanAzee2ZvzB3cmqXVTr2OKSAipwMNYVbWPpVv281ZWTWnnFZXTJK4RZ\/RL5I5z+3He4E60baHztEVilQo8jBwsrSB7VyFZOQWsySlg8aZ97C+poFl8I87u35ELT+rMOQM70rpZvNdRRSQMqMA9kldURnZOTVln7SogK6eQnIOHDn+\/a9vmjOmbyIWpnTlrQBItmuiPSkS+Sa0QZM45cg4eIntXIdk5BWT5R9h5ReWHn9MrsSXDU9oy4dQepHZpw5AuCbqEXUSOSwUeQD6fY9v+0sOj6uycQrJ2FXCwtBKARgb9OrZmTL9EhnRpQ2qXBAZ3SdAhERGpFxV4PVVV+9i8t6SmrP1FvXZXIcXlVQDExxkDOrdm7JDODOlaU9YDOyfQvIkWPxCRwFCB10F5VTVf7Sn+xvHqdbsLKa\/yAdAsvhGDkxP4\/oiuNYdAuibQr2NrmjRu5HFyEYlmDSpwMxsL\/BWIA6Y75x4OSKogKq+qpuBQJYWHKik4VEXhoUoKyyopOFRJQem\/HxceqqLgUCX7SyrYvLeYymoHQOumjRnSNYHxo3uQ2jWB1C5t6J3UijjdvU9EQqzeBW5mccDfgfOAncAyM3vVObc2UOGOxjlHcXlNudYu2sKyr0u51uey2s+r+fz1qPlYmsfH0aZ5PAnNG9OmeTzd27fgnEEdSe3ShtSuCXRv10K3WhWRsNCQEXg6sNE5txnAzOYDlwEBL\/DHP\/iKFzN3Hi5pnzv2c81qRsltWsTXFHGzePp1bOUv5fjDnxOa1RT0N7Y3i9dhDxGJGA0p8K7Ajlpf7wRGHfkkM5sMTAZISUmp1446tm7KsO5taxVurfJt9s1ibt20sUbIIhITgj6J6ZybCkwFSEtL+5ax87H9JD2Fn6TXr\/xFRKJVQ44X5ADda33dzb9NRERCoCEFvgzoZ2a9zKwJ8BPg1cDEEhGR46n3IRTnXJWZ3Qq8Q81phDOdc9kBSyYiIt+qQcfAnXNvAm8GKIuIiJwAnTMnIhKhVOAiIhFKBS4iEqFU4CIiEcqcq9e1NfXbmVk+sK2eP54I7A1gnEig9xwb9J5jQ0Pecw\/nXNKRG0Na4A1hZhnOuTSvc4SS3nNs0HuODcF4zzqEIiISoVTgIiIRKpIKfKrXATyg9xwb9J5jQ8Dfc8QcAxcRkW+KpBG4iIjUogIXEYlQEVHgZjbWzDaY2UYzu9frPMFmZjPNLM\/MsrzOEgpm1t3MPjKztWaWbWa3e50p2MysmZktNbNV\/vf8W68zhYqZxZnZCjN73essoWBmW81sjZmtNLOMgL52uB8D9y+e\/CW1Fk8GxgV78WQvmdmZQDHwtHMu1es8wWZmyUCyc265mbUGMoHLo\/zP2ICWzrliM4sHPgVud8594XG0oDOzu4A0IME5d4nXeYLNzLYCac65gF+4FAkj8MOLJzvnKoCvF0+OWs65RcB+r3OEinNut3Nuuf9xEbCOmjVXo5arUez\/Mt7\/Ed6jqQAws27AxcB0r7NEg0go8KMtnhzVf7ljmZn1BIYDSzyOEnT+QwkrgTzgPedc1L9n4C\/ALwCfxzlCyQHvmlmmf5H3gImEApcYYWatgJeAO5xzhV7nCTbnXLVzbhg168mmm1lUHy4zs0uAPOdcptdZQmyMc24EcCFwi\/8QaUBEQoFr8eQY4D8O\/BIwzzm30Os8oeScOwh8BIz1OEqwnQ5c6j8mPB84x8ye8TZS8Dnncvyf84CXqTksHBCRUOBaPDnK+Sf0ZgDrnHOPeZ0nFMwsycza+h83p2aSfr2noYLMOfdL51w351xPav4ef+icG+9xrKAys5b+iXnMrCVwPhCws8vCvsCdc1XA14snrwOej\/bFk83sOeBzYICZ7TSzSV5nCrLTgQnUjMhW+j8u8jpUkCUDH5nZamoGKe8552LitLoY0wn41MxWAUuBN5xzbwfqxcP+NEIRETm6sB+Bi4jI0anARUQilApcRCRCqcBFRCKUClxEJEKpwEVEIpQKXEQkQv0\/DCvv9LZ8pL4AAAAASUVORK5CYII=\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"z5QhtDhnSBBcQKHCeXWt1v",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "fig, axes = plt.subplots(nrows=1, ncols=2)\n",
    "\n",
    "#axes.plot(x, y)\n",
    "plt.tight_layout() # fix overalpping, recommend to be added after your plot statements"
   ],
   "execution_count":8,
   "outputs":[
    {
     "data":{
      "image\/png":[
       "iVBORw0KGgoAAAANSUhEUgAAAagAAAEYCAYAAAAJeGK1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy\/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAPH0lEQVR4nO3cYYjkd33H8ffHXFOpjVrMCXJ3MZFeqlctmC6pRagp2nJJ4e6BRe4gtJbgoTVSUAopFivxkZVaEK61B5WooPH0QVnwJKBNCIin2RCN3oXIetrmojSnRp+IxtBvH8zYzK277n8us7vfmXu\/4GBn5pedL5P78t6Z2ZtUFZIkdfOcnR5AkqT1GChJUksGSpLUkoGSJLVkoCRJLRkoSVJLmwYqyUeSPJHkGxvcniQfSrKa5OEkN8x+TGn+uUvSdIY8g7oLOPgrbr8Z2D\/+cwz412c\/lrSQ7sJdkgbbNFBVdT\/ww19x5DDwsRo5DbwwyUtmNaC0KNwlaTq7ZvA99gCPTVw+P77ue2sPJjnG6CdDnve85\/3+y1\/+8hncvbQ1Hnzwwe9X1e5tvEt3SQvpUndpFoEarKpOACcAlpaWamVlZTvvXppKkv\/a6Rk24i5pnlzqLs3it\/geB\/ZNXN47vk7SdNwlacIsArUM\/MX4N5BeA\/y4qn7pJQlJm3KXpAmbvsSX5JPATcDVSc4D\/wD8GkBVfRg4BdwCrAI\/Af5qq4aV5pm7JE1n00BV1dFNbi\/g7TObSFpQ7pI0HT9JQpLUkoGSJLVkoCRJLRkoSVJLBkqS1JKBkiS1ZKAkSS0ZKElSSwZKktSSgZIktWSgJEktGShJUksGSpLUkoGSJLVkoCRJLRkoSVJLBkqS1JKBkiS1ZKAkSS0ZKElSSwZKktSSgZIktWSgJEktGShJUksGSpLUkoGSJLVkoCRJLRkoSVJLBkqS1JKBkiS1ZKAkSS0ZKElSSwZKktSSgZIktWSgJEktGShJUksGSpLUkoGSJLVkoCRJLRkoSVJLgwKV5GCSR5OsJrljnduvSXJvkoeSPJzkltmPKs0\/d0kabtNAJbkCOA7cDBwAjiY5sObY3wMnq+rVwBHgX2Y9qDTv3CVpOkOeQd0IrFbVuap6CrgbOLzmTAHPH3\/9AuC7sxtRWhjukjSFIYHaAzw2cfn8+LpJ7wVuTXIeOAW8Y71vlORYkpUkKxcuXLiEcaW55i5JU5jVL0kcBe6qqr3ALcDHk\/zS966qE1W1VFVLu3fvntFdSwvFXZLGhgTqcWDfxOW94+sm3QacBKiqLwHPBa6exYDSAnGXpCkMCdQDwP4k1yW5ktEbt8trzvw38HqAJK9gtFS+7iBdzF2SprBpoKrqaeB24B7gEUa\/YXQmyZ1JDo2PvQt4S5KvAZ8E3lxVtVVDS\/PIXZKms2vIoao6xegN28nr3jPx9VngtbMdTVo87pI0nJ8kIUlqyUBJkloyUJKklgyUJKklAyVJaslASZJaMlCSpJYMlCSpJQMlSWrJQEmSWjJQkqSWDJQkqSUDJUlqyUBJkloyUJKklgyUJKklAyVJaslASZJaMlCSpJYMlCSpJQMlSWrJQEmSWjJQkqSWDJQkqSUDJUlqyUBJkloyUJKklgyUJKklAyVJaslASZJaMlCSpJYMlCSpJQMlSWrJQEmSWjJQkqSWDJQkqSUDJUlqyUBJkloyUJKklgyUJKmlQYFKcjDJo0lWk9yxwZk3JTmb5EyST8x2TGn+uUfSdHZtdiDJFcBx4E+A88ADSZar6uzEmf3A3wGvraonk7x4qwaW5pF7JE1vyDOoG4HVqjpXVU8BdwOH15x5C3C8qp4EqKonZjumNPfcI2lKQwK1B3hs4vL58XWTrgeuT\/LFJKeTHJzVgNKCcI+kKW36Et8U32c\/cBOwF7g\/yauq6keTh5IcA44BXHPNNTO6a2lhDNojcJd0eRjyDOpxYN\/E5b3j6yadB5ar6udV9W3gm4wW7SJVdaKqlqpqaffu3Zc6szSPZrZH4C7p8jAkUA8A+5Ncl+RK4AiwvObMfzD6qY8kVzN6qeLc7MaU5p57JE1p00BV1dPA7cA9wCPAyao6k+TOJIfGx+4BfpDkLHAv8LdV9YOtGlqaN+6RNL1U1Y7c8dLSUq2srOzIfUtDJHmwqpZ2eo7NuEvq7lJ3yU+SkCS1ZKAkSS0ZKElSSwZKktSSgZIktWSgJEktGShJUksGSpLUkoGSJLVkoCRJLRkoSVJLBkqS1JKBkiS1ZKAkSS0ZKElSSwZKktSSgZIktWSgJEktGShJUksGSpLUkoGSJLVkoCRJLRkoSVJLBkqS1JKBkiS1ZKAkSS0ZKElSSwZKktSSgZIktWSgJEktGShJUksGSpLUkoGSJLVkoCRJLRkoSVJLBkqS1JKBkiS1ZKAkSS0ZKElSSwZKktTSoEAlOZjk0SSrSe74FefemKSSLM1uRGlxuEvScJsGKskVwHHgZuAAcDTJgXXOXQX8DfDlWQ8pLQJ3SZrOkGdQNwKrVXWuqp4C7gYOr3PufcD7gZ\/OcD5pkbhL0hSGBGoP8NjE5fPj6\/5fkhuAfVX12RnOJi0ad0mawrP+JYkkzwE+CLxrwNljSVaSrFy4cOHZ3rW0UNwl6WJDAvU4sG\/i8t7xdb9wFfBK4L4k3wFeAyyv9+ZuVZ2oqqWqWtq9e\/elTy3NJ3dJmsKQQD0A7E9yXZIrgSPA8i9urKofV9XVVXVtVV0LnAYOVdXKlkwszS93SZrCpoGqqqeB24F7gEeAk1V1JsmdSQ5t9YDSonCXpOnsGnKoqk4Bp9Zc954Nzt707MeSFpO7JA3nJ0lIkloyUJKklgyUJKklAyVJaslASZJaMlCSpJYMlCSpJQMlSWrJQEmSWjJQkqSWDJQkqSUDJUlqyUBJkloyUJKklgyUJKklAyVJaslASZJaMlCSpJYMlCSpJQMlSWrJQEmSWjJQkqSWDJQkqSUDJUlqyUBJkloyUJKklgyUJKklAyVJaslASZJaMlCSpJYMlCSpJQMlSWrJQEmSWjJQkqSWDJQkqSUDJUlqyUBJkloyUJKklgyUJKklAyVJaslASZJaGhSoJAeTPJpkNckd69z+ziRnkzyc5AtJXjr7UaX55h5J09k0UEmuAI4DNwMHgKNJDqw59hCwVFW\/B3wG+MdZDyrNM\/dImt6QZ1A3AqtVda6qngLuBg5PHqiqe6vqJ+OLp4G9sx1TmnvukTSlIYHaAzw2cfn8+LqN3AZ8br0bkhxLspJk5cKFC8OnlObfzPYI3CVdHmb6SxJJbgWWgA+sd3tVnaiqpapa2r179yzvWloYm+0RuEu6POwacOZxYN\/E5b3j6y6S5A3Au4HXVdXPZjOetDDcI2lKQ55BPQDsT3JdkiuBI8Dy5IEkrwb+DThUVU\/Mfkxp7rlH0pQ2DVRVPQ3cDtwDPAKcrKozSe5Mcmh87APAbwKfTvLVJMsbfDvpsuQeSdMb8hIfVXUKOLXmuvdMfP2GGc8lLRz3SJqOnyQhSWrJQEmSWjJQkqSWDJQkqSUDJUlqyUBJkloyUJKklgyUJKklAyVJaslASZJaMlCSpJYMlCSpJQMlSWrJQEmSWjJQkqSWDJQkqSUDJUlqyUBJkloyUJKklgyUJKklAyVJaslASZJaMlCSpJYMlCSpJQMlSWrJQEmSWjJQkqSWDJQkqSUDJUlqyUBJkloyUJKklgyUJKklAyVJaslASZJaMlCSpJYMlCSpJQMlSWrJQEmSWjJQkqSWDJQkqaVBgUpyMMmjSVaT3LHO7b+e5FPj27+c5NqZTyotAHdJGm7TQCW5AjgO3AwcAI4mObDm2G3Ak1X128A\/A++f9aDSvHOXpOkMeQZ1I7BaVeeq6ingbuDwmjOHgY+Ov\/4M8Pokmd2Y0kJwl6Qp7BpwZg\/w2MTl88AfbHSmqp5O8mPgRcD3Jw8lOQYcG1\/8WZJvXMrQM3Y1a+bcIR3m6DAD9Jnjd2b8\/RZ5l7r8P3OOi3WZ45J2aUigZqaqTgAnAJKsVNXSdt7\/epyj1wzd5tjpGTbSbZc6zOAcvee4lP9uyEt8jwP7Ji7vHV+37pkku4AXAD+4lIGkBeYuSVMYEqgHgP1JrktyJXAEWF5zZhn4y\/HXfw78Z1XV7MaUFoK7JE1h05f4xq+D3w7cA1wBfKSqziS5E1ipqmXg34GPJ1kFfsho8TZz4lnMPUvO8YwOM8CCzrHgu9RhBnCOteZ6jvjDmSSpIz9JQpLUkoGSJLW05YHq8tEuA+Z4Z5KzSR5O8oUkL93uGSbOvTFJJdmSXw8dMkeSN40fjzNJPrETcyS5Jsm9SR4a\/3+5ZQtm+EiSJzb6d0QZ+dB4xoeT3DDrGYZwj6abY+Kcu8Qc71JVbdkfRm8Efwt4GXAl8DXgwJozfw18ePz1EeBTOzTHHwO\/Mf76bbOeY8gM43NXAfcDp4GlHXos9gMPAb81vvziHZrjBPC28dcHgO9swRx\/BNwAfGOD228BPgcEeA3w5VnPMKPH6rLYo6FzjM+5S8+cmctd2upnUF0+2mXTOarq3qr6yfjiaUb\/RmVbZxh7H6PPX\/vpjO9\/mjneAhyvqicBquqJHZqjgOePv34B8N1ZD1FV9zP6bbmNHAY+ViOngRcmecms59iEezTlHGPu0jPmcpe2OlDrfbTLno3OVNXTwC8+2mW755h0G6PSb+sM46e8+6rqszO+76nmAK4Hrk\/yxSSnkxzcoTneC9ya5DxwCnjHFsyxmWn\/7uzUDJfLHg2aw11ajF3a1o86mgdJbgWWgNdt8\/0+B\/gg8ObtvN8N7GL00sRNjH4Cvj\/Jq6rqR9s8x1Hgrqr6pyR\/yOjfB72yqv53m+fQlHZqj8b37S79srncpa1+BtXlo12GzEGSNwDvBg5V1c+2eYargFcC9yX5DqPXaJe34M3dIY\/FeWC5qn5eVd8GvsloybZ7jtuAkwBV9SXguYw+\/HI7Dfq702CGy2WPhszhLi3KLs36jbI1b4rtAs4B1\/HMm3e\/u+bM27n4zd2TOzTHqxm90bh\/px6LNefvY2ve2B3yWBwEPjr++mpGT8tftANzfA548\/jrVzB63Txb8Jhcy8Zv7P4ZF7+x+5Wt+Psxg8fqstijoXOsOe8uzekubclfoDVD3cLop4ZvAe8eX3cno5+uYFTyTwOrwFeAl+3QHJ8H\/gf46vjP8nbPsObslizVwMcijF4iOQt8HTiyQ3McAL44XrivAn+6BTN8Evge8HNGP+3eBrwVeOvEY3F8POPXt+r\/yQweq8tmj4bMseasuzSnu+RHHUmSWvKTJCRJLRkoSVJLBkqS1JKBkiS1ZKAkSS0ZKElSSwZKktTS\/wHmYxXonW1jMQAAAABJRU5ErkJggg==\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"9dZeVjXSLdCMCoCjTxV1Sh",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "axes # axes is just a list, hence you loop"
   ],
   "execution_count":9,
   "outputs":[
    {
     "data":{
      "text\/html":[
       "<pre>array([%lt;AxesSubplot:%gt;, %lt;AxesSubplot:%gt;], dtype=object)<\/pre>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"FxoBrXlGjqWoMXGpO7tU03",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "for current_ax in axes:\n",
    "    current_ax.plot(x, y)"
   ],
   "execution_count":10,
   "outputs":[
    
   ],
   "metadata":{
    "datalore":{
     "node_id":"hu9XRC1RUDyNdtzHkSjhiA",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "fig, axes = plt.subplots(nrows=1, ncols=2)\n",
    "\n",
    "axes[0].plot(x, y)\n",
    "axes[0].set_title('First Plot')\n",
    "\n",
    "axes[1].plot(y, x)\n",
    "axes[1].set_title('Second Plot')"
   ],
   "execution_count":15,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "Text(0.5, 1.0, 'Second Plot')"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"0GMnepyDVAUeUBuNgCOaDm",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"markdown",
   "source":[
    "# Figure Size and DPI"
   ],
   "attachments":{
    
   },
   "metadata":{
    "datalore":{
     "node_id":"ETPacqhcKELbMm2Cx8UiXd",
     "type":"MD",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "fig = plt.figure(figsize=(8, 2))\n",
    "\n",
    "ax = fig.add_axes([0, 0, 1, 1])\n",
    "ax.plot(x, y)"
   ],
   "execution_count":16,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7fc22c3cf250>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       "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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"JsqxS96di70SDmoBQNIv50",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "fig, axes = plt.subplots(nrows=2, ncols=1, figsize=(8, 2))\n",
    "\n",
    "axes[0].plot(x, y)\n",
    "\n",
    "axes[1].plot(y, x)\n",
    "\n",
    "plt.tight_layout()"
   ],
   "execution_count":18,
   "outputs":[
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"5tkVwh41GKtLv8xu60v1Zs",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "fig"
   ],
   "execution_count":19,
   "outputs":[
    {
     "data":{
      "image\/png":[
       "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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"PyomcUgGWSs0kJ4qJlmPjf",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "fig.savefig('my_picture.png', dpi=200)"
   ],
   "execution_count":21,
   "outputs":[
    
   ],
   "metadata":{
    "datalore":{
     "node_id":"INIqgAKv05fp4OtLMnptGl",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "fig = plt.figure()\n",
    "\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "\n",
    "#ax.set_title('Title')\n",
    "#ax.set_ylabel('Y')\n",
    "#ax.set_xlabel('X')\n",
    "\n",
    "ax.plot(x, x**2, label='X Squared')\n",
    "ax.plot(x, x**3, label='X Cubed')\n",
    "\n",
    "#ax.legend(loc=0) # 0-best\n",
    "\n",
    "ax.legend(loc=(0.1, 0.1))\n"
   ],
   "execution_count":29,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "<matplotlib.legend.Legend at 0x7fc22c58adc0>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"xovLesZfZRYMagBCDbtzCm",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    
   ],
   "execution_count":null,
   "outputs":[
    
   ],
   "metadata":{
    "datalore":{
     "node_id":"TYnM38VGwKXhikjwy4PJRs",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  }
 ],
 "metadata":{
  "kernelspec":{
   "display_name":"Python",
   "language":"python",
   "name":"python"
  },
  "datalore":{
   "computation_mode":"JUPYTER",
   "package_manager":"pip",
   "base_environment":"default",
   "packages":[
    
   ],
   "report_row_ids":[
    
   ],
   "version":3
  }
 },
 "nbformat":4,
 "nbformat_minor":4
}