Section 8-44 Python for Data Visualization - Matplotlib Part 3.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":2,
   "outputs":[
    
   ],
   "metadata":{
    "datalore":{
     "node_id":"UX2KFetJKpTfVSnLmsBGIW",
     "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.plot(x, y, color='orange')\n",
    "#ax.plot(x, y, color='#FF8C00')\n",
    "\n",
    "ax.plot(x, y, color='purple', linewidth=3, alpha=0.5) # linewidth=lw"
   ],
   "execution_count":16,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7f486fde2190>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"gFJKosZ3ahfHUseWx9TT35",
     "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.plot(x, y, color='purple', linewidth=3, linestyle='--') "
   ],
   "execution_count":19,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7f486fd77f10>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"UxaexzQ9lh7sbOiUKRKJ99",
     "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.plot(x, y, color='purple', linewidth=3, linestyle=':') "
   ],
   "execution_count":20,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7f486fcdab20>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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ANRSWWmZNs3epOo+7IMSjV+MSAGgFs687V\/+x\/ka\/eBoyhOSGJECQK2sfnS1ti3cJkla8csV+uQvn3hOhEhBkQJALQy7f5h6X9lbkjT8geHqdUUvz4kQKZjaBYBaSExJ1JQFU7Rp9iYNmj6IaV2cRpECQC0lpiRq8B2DfcdAhGFqFwC+oqy0TC9NeUnbX9\/uOwqiAEUKAGf4YnVu9rxszbt+HmWKGlGkAHCGk4dO6uDGg5LKS3Xv6r2eEyHSUaQAcIaWGS01ffl0pfZM1fAHhmvMr8b4joQIx2IjAPiK1t1a6651dyklNYXVuagRI1IAca2stExH9x6tsr1pWlNKFLVCkQKIW18sLJoxfIYO7zrsOw6iFEUKIG79713\/q20Lt+nYvmOaOXqmTuaf9B0JUYgiBRC3hvzDECWmlC8V6T+1v5q2beo5EaIRi40AxK2uw7pq0guTdOCjA7rs3y\/jnCjqhCIFEDdCZSElBCpPxPW7oZ\/63dDPUyLEAqZ2AcSF9c+t1zOXPKOSYyW+oyDGUKQAYt47v3xHC+9YqP1Z+zX\/pvkqO1XmOxJiCEUKIOa17tb69OPCnEIVHyn2mAaxhnOkAGLeoOmDVPBpgT5f87lunHejmrRq4jsSYghFCiAujH5wtFyZU0IiE3GoX\/yLAhBT9q3Zp9fufk0u5CptNzNKFA2CESmAmLH1la1aMHWBgsVBJbdM1rjfjfMdCXGAH88AxIw97+5RsDgoSVr\/7HoVHij0nAjxgBEpgJgx9ndjdeTTI8rdnKupi6eqRccWviMhDlCkAGJGQiBB1794vU6dPKVm7Zr5joM4wdQugKh0POe4Pnzmwyrbk5olUaJoVIxIAUSd3Oxczbpqlo7uOarEJokacOsA35EQxxiRAog67zz4jo7uOSqp\/DNFCw+yqAj+UKQAos6Epyeoff\/2Sm6RrCkLpqhFBxYVwR+mdgFEnZTWKZq6eKqKDhWp46COvuMgzjEiBRDRgiVB7Vuzr8r21l1bU6KICBQpgIhVdLhIL4x7QTMvm6nPP\/jcdxygWjUWqZnNMLNcM9t8xrY2ZrbUzHZU\/J7WsDEBxKNXp72q3St2K1gU1OwJs3Ui74TvSEAVtRmRPidp\/Fe2\/VTS2865PpLerngOAPVq3GPj1LRtU0nSsB8N4\/pQRKQaFxs551aYWY+vbJ4oaXTF45mSlkv6p\/oMBgBt+7TVzQtv1rF9x9R\/Sn\/fcYBq1XXVbgfnXE7F4wOSOtRTHgBxyjmnokNFVUad3UZ085QIqJ2wFxs555wkd7b9ZnaXmWWZWVZeXl64hwMQg0LBkN743ht6cvCTOr7\/uO84wDdS1yI9aGYZklTxe+7ZXuice8o5l+mcy0xPT6\/j4QDEslenv6q1f1yrY\/uOadY1s1RaWOo7ElBrdS3SRZKmVTyeJmlh\/cQBEI8G3j5QFjBJ5edFExK5Mg\/Ro8ZzpGY2W+ULi9qZ2T5Jv5D0sKR5ZnanpN2SbmrIkABi2znjztE1T16jQ9sP6YpfXyFLMN+RgFqrzardW86y6\/J6zgIgTriQq1KWF915kac0QHiYPwHQqD569iPNHDNTweKg7yhAvaBIATSa5Q8u16JvL9Lud3br1WmvyoXOuuAfiBoUKYBGk5Kacvpx\/sf5Kj5S7DENUD\/4GDUAjebi+y7W4V2HdXjHYd0470Y1adXEdyQgbBQpgAbjnJPZl4uKzEzjHx8vF3IKJAU8JgPqD1O7AOqdc05r\/7RW8yfPr3IeNCGQQIkipjAiBVCvQmUhvTTlJW19eask6f3H39ewHw7znApoOIxIAdSrhECCUnuknn6+efZmhcpC\/gIBDYwRKYB6d\/lDl2v3it3qPLSzxj0yTgkBfmZH7KJIAYSl8EChmrVrVun+uIHkgKa\/M11JTZM8JgMaBz8mAqizHW\/s0BMXPqHlDy6vso8SRbygSAHUyad\/\/VSzrpqlk\/kn9e5D7+qTtz\/xHQnwgiIFUCc9RvdQryt6SZJaZrTkkhbELc6RAqgTSzBN+p9JWvrAUo17dJyapzf3HQnwghEpgBqVnijVxhc2VtneomMLTXp+EiWKuMaIFMDXOrjxoF6a8pLyP85XYtNE9buhn+9IQERhRArga63+3Wrlf5wvSVp05yKdyD3hOREQWShSAF\/ryj9cqdQeqUpqlqTxj49Xs\/RmviMBEYWpXQBfKyU1RTe9fJOSmiWp3fntfMcBIg5FCkBS+c3mVz68Us3bN9eQvx9SaV\/GRRmeUgGRjyIFoJP5J\/XSlJf06V8\/VWJKoroO66r2\/dv7jgVEBc6RAlBS8ySdyCtfRBQsDuq937\/nOREQPShSAEpqmqTJcyYruUWyRv3rKE14coLvSEDUYGoXiEOlhaVKbpFcaVt6v3R9f9f31bw9N1cAvglGpECc2TR7kx7v\/rj2rt5bZR8lCnxzFCkQR1Y\/sloLpi5Q0eEivXzLyyoqKPIdCYh6FCkQRy646QKlpKZIkhKSElR4oNBzIiD6cY4UiCOtu7XWtTOu1daXturqJ65Wk1ZNfEcCoh5FCsSoooIiHd5xWJ2Hdq60ve+kvuo7qa+nVEDsYWoXiEF7Vu3Rk4Oe1KyrZ+n4\/uO+4wAxjSIFYkxZaZkWTF2go3uO6mT+SS24dYGcc75jATGLIgViTCA5oInPTZRMSklL0cXfv1hm5jsWELM4RwrEoJ6X9dS1z1yrXpf3UuturX3HAWIaI1IgihUeLNSr017V3veq3lxh8B2DKVGgETAiBaLU9te3a8HUBSo5VqLczbn6zgffUUKAn42Bxsb\/dUCUSu+XrrLSMklSzoc52rVkl+dEQHyiSIEoldYzTSN\/NlJtz22rW5fcqj5X9fEdCYhL1pjL4jMzM11WVlajHQ+IBaFgSGv\/tFaturRS3+sr30ghWBKUJCU24SwN0JDMbJ1zLrO6ffzfB0SwQ9sPaf6N83Vw40G17NRSvcb2UpOWX97WjwIF\/GNqF4hgzTs0V+HB8hvLH99\/XB\/84QPPiQB8FUUKRLCU1ika+7uxSmqWpDEPjdGwHw3zHQnAVzAvBESIPSv3qOCTAg28fWCl7QNuHaBel\/dSy04tPSUD8HUoUsCzkuMleuPeN7Th+Q1KapakHpf1UOuuX95IwcwoUSCCMbULeJbUNEk5H+VIkk6dPKW3f\/q250QAvomwitTMPjOzTWa23sy4rgWog4TEBF31x6skSX1v6KvLf32550QAvon6mNq9zDmXXw9\/DhDzCg8WateSXVXOg3a\/tLvu3ni3OlzYwVMyAHXFOVKgETjn9MF\/f6Bl\/7pMJcdKlN4vXZ0yO1V6DSUKRKdwz5E6SW+Z2Tozu6u6F5jZXWaWZWZZeXl5YR4OiF67luxSydESyUmv\/+PrfNg2ECPCLdKRzrmLJF0p6R4zG\/XVFzjnnnLOZTrnMtPT08M8HBCdzEzj\/3O8Ak0CantuW4351Rg+bBuIEWFN7TrnPq\/4PdfMXpE0VNKK+ggGRKtQMKSPF36svtf3rVSWbc5po9uW3qbOQztzaz8ghtR5RGpmzc2s5RePJY2TtLm+ggHRaM\/KPXpqyFOaP3m+ti7YWmV\/90u7U6JAjAlnareDpJVmtkHSB5Jed869WT+xgOi0ee5mHdx4UJK05P4lKj1R6jkRgIZW5x+NnXOfSBpY4wuBODLm38coe262Tp04pczvZiohkXueALGOOSagjvat2aeMwRkKJAdOb0tJTdHkuZPV5pw2at2t9dd8NYBYwY\/LwDdUeLBQr057Vc9c8ozW\/NeaKvt7XtaTEgXiCEUKfEObZm3Shuc3SJKWP7hcxz4\/5jkRAJ8oUuAbGnrvUKX3K78muvf43lwPCsQ5zpECZxEKhrR57mZ1GtJJ7c5vd3p7ICmgCX+eoNLCUp0z7hyPCQFEAooUqMaOxTv0+j++rqO7j2rgtIG67rnrKu3vOryrn2AAIg5Tu0A1UtJSdHT3UUnSphc36eieo54TAYhUFCni3vGc41VuIN91WFd1H9Vdzdo106j\/N0pNWjXxlA5ApGNqF3Erb0ueVv12lTa9uEm3vnWrel7Ws9L+ic9NVIsOLZTULMlTQgDRgBEp4taaP6zRhpkbFAqGtOrhVVX2p\/VMo0QB1IgiRdwa\/uPhsoTyS1eCJUGdKjrlORGAaMTULmLaF5ewZM\/J1pRXplS6922bc9po7O\/GqsuwLuo6jFW4AOqGIkXMcs7p6UueVs66HElS9vxsXXjLhZVeM+yHw3xEAxBDmNpFzDIznXvNuaefr\/3jWo9pAMQqihQx4ejeo9r55s4q24feO1Stu7fW6F+O1i2LbvGQDECsY2oXUa34SLHe\/MGb2vTiJiW3TNb9e+5Xcovk0\/ubtWum7+\/6vhIC\/MwIoGHw3QVRLblFsva8u0ehYEjFBcX68OkPq7yGEgXQkPgOg6jhnFPpidJK2xISEzT8J8MlSd1HdVeHgR18RAMQx5jaRcQrO1Wm7LnZWvWbVeoyrIsmPDWh0v5B0wepw8AOXMICwAtGpIh4+97fp1due0W5m3O1YeYGHc85Xml\/YkoiJQrAG4oUEa\/byG7qckkXSVJCUsLp60IBIBIwtYuIcXjnYX3wxw90wU0XVBphmpn+9hd\/q8\/Xfq6h9wxV0zZNPaYEgMooUkSEj579SIu+vUiSVLCroMo1n73H91bv8b19RAOAr8XULhrdibwTVbad+RFm2\/93u\/I\/zm\/MSABQZ4xI0ShCwZBWP7JaW+ZvUf7H+fpx7o+V3PzLGyek9khVt5HdlJKaoszvZqrteW09pgWA2qNI0SgSEhO04fkNyt9aPtLcsXiHLrjxgkqvmf7O9NMfawYA0YKpXdSrwzsP691fv6s9q\/ZU2dfvxn6SpEByQEc+PVJlPyUKIBoxIkW9Wf3Iai39yVJJ0qA7BqnbiG6V9g+8faDa9mmrcyecq5TWKT4iAkC9Y0SKOik+UlxlW7dLvyzOj1\/9WGWlZZX2tzmnjQbcOoASBRBTGJGi1k6dPKU1\/7VG2fOydeLgCd2\/9\/5K07Gdh3ZWmz5t1O78dup3Yz855zymBYDGQZGi1gLJAb336Hs6mX9SkrR39V51G\/nlKNTMdM+We5SQyEQHgPjBdzxU8cWCobyteZW2JyQm6Pzrz5dUXqq52blVvpYSBRBvGJGikrf\/+W2tfGilJKm0sFSX\/8fllfZn3p2p7pd2Z8EQAFRg+BDHSgtLq2zrPLTz6cdb5m2pcp4zY3AGC4YA4AyMSONM8ZFiZf3\/LGXPy5YLOd29\/u5K+3t\/q7eapTdTl0u66IKbLpALOVmA6zsB4Gwo0hgVCoaU\/3G+2vRpo8QmX\/5ntgTT8geXq6yk\/NKUQzsOqW2fL2\/Hl5iSqB\/u+6ECyYFGzwwA0Yip3Rj0yu2v6OHWD+uJC5+o8tmdTVo1Of0pKoHkgHI+rPrZnpQoANQeI9IoVPBJgXa\/u1s563LU94a+6vG3PSq\/wJVf8ylJ+9ftV9fhXSvtvuT+S9T3hr4679rzONcJAGGiSCNYKBhSaWGpUlIrl93aJ9bqvUfekyQlt0yuUqQZmRna+MJGtezcUq6s6k0RqhQvAKDOKNII9OmyT7XsX5Yp56Mc9b+lvyY+M7HS\/k5DOp1+\/NWpW0kaeNtA9Z\/SXy06tmjwrAAQ7yhSD0JlIeVvzdf+dfsVLAoq8+7MSvvNTHtX75VUfVF2vrizzrv2PGUMyVDXEV2r7G\/apmnDBAcAVEGRNjAXclU+HuzwjsN64sInJEnNOzTXkH8YIrMvX5NxUcbpxyVHSxQKhirdMSitZ5puXnhzAycHANQGRRoG55xKjpUoqWlSpZWuLuT05v1vKicrR3lb8\/SjnB9VugSl7bltldwiWaWFpTpx8ISO7z+uVp1bnd7fpFUT3f727Urvl870LABEuLCK1MzGS\/pPSQFJTzvnHq6XVI3IOScXckoIVL4SaMcbO5S7KVdFBUUacOsAtb+gfaX9s66epZ1v7pQLOU1bNk09Rvc4vc8STDte26GCTwokSbmbcyud17QEU5+r+ihYHFTGkIxq70\/bc0zPevxbAgAaSp2L1MwCkv4oaaykfZLWmtki59yW+goXjpwPc5TzYY6KCorU\/dLu6nJJl0r73\/rJW1o\/Y72KjxRrwtMTNPiOwZX2b3hug7LnZUuSOgzoUKVILWByofIVsUUFRVWOnzEk46xFKkmT504O7y8IAIgI4YxIh0ra6Zz7RJLMbI6kiZIapUjX\/XmdVv1mlYoLijX0e0M1+sHRlfZnz8vWqt+skiRd9qvLqhRp6FRIRYfLC7C4oOqHVKekfXnJSXX7m6aVL+hJbpF8+i5BZ7r4vos1cNpAdRrSielZAIhh4RRpZ0l7z3i+T9LF4cWpvWBRUAW7ykd8X3w+5plqKsIz95ccL6myv9cVvZTUPElN05pWupH7F67601Wa8PQEBZKqvwtQtxHdqt0OAIgtDb7YyMzuknSXJHXrVn\/lUlNRZlyUoUF3DFJKWkql85dfuOS+S\/Q33\/0bpaSmVHtLvH6T+6nf5H5nPX5y8+S6BQcAxBT76sdk1foLzYZJetA5962K5z+TJOfcr8\/2NZmZmS4rK6tOx\/uqooIincg9oaZpTc9ahgAA1AczW+ecy6xuXzgj0rWS+phZT0mfS7pZ0tQw\/rxvpGla09PnKQEA8KXOReqcC5rZvZKWqPzylxnOuex6SwYAQBQI6xypc26xpMX1lAUAgKjD55ECABAGihQAgDBQpAAAhIEiBQAgDBQpAABhoEgBAAgDRQoAQBgoUgAAwlDne+3W6WBmeZJ21+Mf2U5Sfj3+efGC963ueO\/qhvet7njv6qa+37fuzrn06nY0apHWNzPLOttNhHF2vG91x3tXN7xvdcd7VzeN+b4xtQsAQBgoUgAAwhDtRfqU7wBRivet7njv6ob3re547+qm0d63qD5HCgCAb9E+IgUAwKuoLFIzG29m28xsp5n91HeeaGFmM8ws18w2+84STcysq5ktM7MtZpZtZvf5zhQtzCzFzD4wsw0V792\/+c4UTcwsYGYfmdlrvrNEEzP7zMw2mdl6M8tq8ONF29SumQUkbZc0VtI+SWsl3eKc2+I1WBQws1GSCiU975zr7ztPtDCzDEkZzrkPzaylpHWSruPfXM3MzCQ1d84VmlmSpJWS7nPOve85WlQwsx9KypTUyjl3je880cLMPpOU6ZxrlOtvo3FEOlTSTufcJ865UklzJE30nCkqOOdWSDrsO0e0cc7lOOc+rHh8XNJWSZ39pooOrlxhxdOkil\/R9dO7J2bWRdLVkp72nQVfLxqLtLOkvWc83ye+qaGRmFkPSYMlrfEcJWpUTE+ul5Qraalzjveudh6X9ICkkOcc0chJesvM1pnZXQ19sGgsUsALM2sh6WVJP3DOHfOdJ1o458qcc4MkdZE01Mw4rVADM7tGUq5zbp3vLFFqpHPuIklXSrqn4rRWg4nGIv1cUtcznnep2AY0mIrzey9LetE5t8B3nmjknDsiaZmk8Z6jRIMRkq6tONc3R9IYM3vBb6To4Zz7vOL3XEmvqPyUYIOJxiJdK6mPmfU0s2RJN0ta5DkTYljFgplnJG11zj3mO080MbN0M0uteNxU5YsEP\/YaKgo4537mnOvinOuh8u9xf3XO3eo5VlQws+YViwJlZs0ljZPUoFcqRF2ROueCku6VtETliz7mOeey\/aaKDmY2W9J7ks4zs31mdqfvTFFihKTbVD4qWF\/x6yrfoaJEhqRlZrZR5T8EL3XOcSkHGlIHSSvNbIOkDyS97px7syEPGHWXvwAAEEmibkQKAEAkoUgBAAgDRQoAQBgoUgAAwkCRAgAQBooUAIAwUKQAAISBIgUAIAz\/B7qlZi6mpkKYAAAAAElFTkSuQmCC\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"LvItnmUtnmftf1FPeh4CH8",
     "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",
    "# linestyle supported values are '-', '--', '-.', ':', 'None', ' ', '', 'solid', 'dashed', 'dashdot', 'dotted'\n",
    "ax.plot(x, y, color='purple', linewidth=3, linestyle='dotted') "
   ],
   "execution_count":26,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7f486f8c00a0>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"Ml0yJfDGT9WejoVQ7RaS27",
     "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.plot(x, y, color='purple', linewidth=3, linestyle='-', marker='o', markersize=10) "
   ],
   "execution_count":34,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7f486faf1250>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"dCPWMlf1mOy913OzAmFhiX",
     "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.plot(x, y, color='purple', lw=0.5, ls='-', marker='+', markersize=20) "
   ],
   "execution_count":35,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7f486fcb6220>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"79wSt2p13992SIgK6m9eAj",
     "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.plot(x, y, color='purple', lw=1, ls='-', marker='o', markersize=20) "
   ],
   "execution_count":36,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7f486f6a3220>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"024AROHUBIZSFw7s3N57n6",
     "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.plot(x, y, color='purple', lw=1, ls='-', marker='o', markersize=20,\n",
    "        markerfacecolor='yellow') "
   ],
   "execution_count":37,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7f486f67a1f0>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"fDB8nBD1xkRR6V0NWEOIRe",
     "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.plot(x, y, color='purple', lw=1, ls='-', marker='o', markersize=20,\n",
    "        markerfacecolor='yellow', markeredgewidth=3) "
   ],
   "execution_count":38,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7f486f5e0160>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"B9l7Tyh31pQGD4QkIh9D8I",
     "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.plot(x, y, color='purple', lw=1, ls='-', marker='o', markersize=20,\n",
    "        markerfacecolor='yellow', markeredgewidth=3,markeredgecolor='green') "
   ],
   "execution_count":39,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "[<matplotlib.lines.Line2D at 0x7f486f54f100>]"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"9zxzHt1HIGFNYHRwqPxfgX",
     "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.plot(x, y, color='purple', lw=1, ls='--') \n",
    "\n",
    "ax.set_xlim([0, 1])\n",
    "ax.set_ylim([0, 2])"
   ],
   "execution_count":41,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "(0.0, 2.0)"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"n6AMRQ6lU2oF2LrgEUhJZh",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    
   ],
   "execution_count":null,
   "outputs":[
    
   ],
   "metadata":{
    "datalore":{
     "node_id":"mVzrJVizofdKdiWApIn7FZ",
     "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
}