Visualizations.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualization Using Matplotlib\n",
    "\n",
    "Visualization is any technique for creating images, diagrams, or animations to communicate a message. Visualization through visual imagery has been an effective way to communicate both abstract and concrete ideas since the dawn of humanity\n",
    "\n",
    "source(Wikipedia)\n",
    "\n",
    "Python has different visualization libraries that allows us to make different graphs, lines and charts. Matplotlib is a Python data visualization library. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Matplotlib\n",
    "Matplotlib is the most popular data visualization tool in Python ecosystem. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Types of Vizulization\n",
    "The most common visualization \n",
    "\n",
    "- Bar Graph\n",
    "- Stacked Bar Graph\n",
    "- Histograph\n",
    "- Area Chart\n",
    "- Line Graph\n",
    "- Pie chart\n",
    "- Heat map\n",
    "\n",
    "The matplotlib is a Python package that allows to make all kinds of data visualizations.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Installing matplotlib\n",
    "\n",
    "In order to use matplotlib, first it has to be installed using pip.\n",
    "```py\n",
    "pip install matplotlib\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.3.2\n"
     ]
    }
   ],
   "source": [
    "import matplotlib\n",
    "print(matplotlib.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Matplotlib Pyplot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The pyplot submodule has most of the utilities that can be used for visulization. Therefore, we use the pyplot submodule to visualize data. Let us import pyplt as plt.\n",
    "```py\n",
    "import matplotlib.pyplot as plt\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing necessary packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np # numerica Python, NumPy\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Line Graphs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plot() method draws a line from point to point on a cavas by default. The line below is between point(0.5) and (0, 10)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array([0, 5])\n",
    "y = np.array([0, 10])\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Markers\n",
    "Let us the markers of two points on the canvas. The 'o' is the marker. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array([0, 5])\n",
    "y = np.array([0, 10])\n",
    "plt.plot(x, y, 'o')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us draw a line with four points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array([0, 2, 6, 8])\n",
    "y  = np.array([3, 10, 3, 10])\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lines with Markers\n",
    "Lines with markers allows to emphasize each data points with a certain marker style. The different markers can be found on the matplotlib [documentation](https://matplotlib.org/stable/api/markers_api.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zqDHF3u8vc2cN/DNgHVAKVDif6xkP5QpoR4938Mmh46woyAy44ip3XD47lTsvmspznx1jQ6nd6DgiSDiKq+wsmDyGyUmxRscZFrf+X0Fr/ajWeqbWeq7W+t+01rKh9yysK7ETouCmAC2ucsd/XTGDc6eM4QcbK9hT02p0HBEEio80cbihw5S7wcyz2BMgBgY160rsLJqRTFpCYBZXuSMsNIQnb8slPiqcu9aU0tbdZ3QkEeCGiquumjfO6CjDJgPcxz7YXx8UxVXuSImL4qnb8zjW2MlDUnolvKitu49XK6q5Njvd74urXJEB7mMWq40xsRFcNivV6Ch+bcHkMTy8dCav7ajh2Q8PGx1HBKhXtlfT1TfACpPuBpMB7kONHb28uauWZTkZRITJX/2Z/MeFk1k6Zxy/fG0P1iNSeiU8r7DYxozUUeSYoLjKFZkiPrQxCIur3KGU4tfL55M5Opp7niulvk2ukQvP2VfbRrnNPMVVrsgA95Ghe+xlZyaQNS7O6DimER8VzupV+bR09XHf82X0DwwaHUkECEuxs7gq1xzFVa7IAPeR7XZncZWcfQ/brLR4frpsHp8cOs4TUnolPKC3f5CNZZVcNiuVsSYprnJFBriPFFptRIUHd3GVO27Oz+S2BeN5+t2DvLVLSq+Ee7buqTVdcZUrMsB9oKt3gJfLq7hqbhrxUcFdXOWOR6+dw9yMeL5rKefYcSm9EiNnsdpJjY/kwulJRkdxiwxwH3htx1Bxlbnf7Y0WFR7K6pX5ANz9XImUXokRqWnp5l0TFle5Yu70JmGx2pg4NoZzp4wxOorpjR8Tw+9uyWFHZSs/fnmn0XGECX1RXJVv/hMqGeBedvR4B58eajT1ViV/s3hWKndfPJXnP7exrkRKr8TZG9oN9rXJY5hksuIqV2SAe1mR1VlclWfOT3r5q+9ePoPzpozlhxsr2F0tpVfi7Hx+uJEjxztNf/FyiAxwLxoqrrpoRjLjEqKMjhNQhkqvEqLDuWtNCa1SeiXOQqHVRlxkGFfOTTM6ikfIAPei9/fXU9MqxVXekhwXydMr87A3dfFQkZReidNrHSquykknOiLU6DgeIQPciyzFjuKqxVJc5TUFk8bw8JUzeX1nDX/5QEqvxKm9sq2a7r7BgDqhkgHuJcfbe3hrdy035Epxlbd984LJXDVvHL98fQ+fH5bSK+FaodVGVmoc2ZkJRkfxGJksXjJUXBVI7/b+SinFr26az8QxMdzzXCl1bd1GRxJ+Zm9NG9tszSwvyAyo3WAywL1Aa43FaiN7fKIUV/lIXFQ4T6/Ko627j28/J6VX4kQWq43wUHMXV7ky4gGulMpSSpV/6UerUuo7HsxmWtvsLeyrbecWOfv2qZnj4vn5DfP47HAjv3lDSq+EQ6AUV7ky4nsIaa33AjkASqlQoBLY6JlY5lZY7CiuuiY7MLYqmcmNeZlYjzbx5/cOkj9xNJfPlgvIwe7t3bU0dvQGZBOop5ZQFgMHtdZHPfR8ptXVO8DL26q4ap4UVxnlf18zm3kZCXzXUs7R4x1GxxEGs1htjIuPYtH0ZKOjeJynBvitwPOu/kApdYdSyqqUstbX13vocP7r1Ypq2nv6ZfnEQFHhoTy9Mo8QpbhrTamUXgWxmpZu3ttXz835mYSGBM7FyyFuD3ClVARwHVDk6s+11s9orQu01gXJyYH3Dngyi9XGpLExLJgsxVVGcpReZbOrupVHX5TSq2D1RXGVSW9afCaeOAO/EijVWgd9y/6Rhg4+O9zIcimu8guXzkzl3kumUWi1YbHajI4jfGxw0LEb7NwpY5g41vzFVa54YoDfximWT4JNUYlNiqv8zAOXz2DhtLH8aNMOdla1GB1H+NBnhxs5GkDFVa64NcCVUjHA5cAGz8Qxr/6BQdaV2Lk4K0WKq/xIaIjiD7fmMjomgrvXltLSJaVXwaLIWVy1dE7g7gZza4BrrTu11mO11kF/avPB/gZqW3tYEaBrbWaWNCqSP63Mo7KpiweLtknpVRBo7e7j1R3VXBdAxVWuyCcxPaSw2MbY2AgunSn7jv1R/sTR/OCqWbyxq5Zn3j9kdBzhZS9vqwq44ipXZIB7gBRXmcM3Fk7i6vlp/Or1PXx66LjRcYQXWYptzBwXx/wAKq5yRaaNB2wsq6R/UAfkJ70CyVDp1aSkWO59roy6Vim9CkR7alrZZm8Jit1gMsDdpLWmsNhGzvhEZqRKcZW/GxUZxp9X5dPR08+9z0vpVSCyFNsDsrjKFRngbiq3NbO/rj2gtyoFmhmpcfzixnl8friRx7fsNTqO8CBHcZWdy2enMiY2wug4XicD3E0Wq43o8FCumR+4W5UC0bLcDFadO4H/+/4htuysMTqO8JC3dtfS1NkX8Bcvh8gAd0Nnbz8vb6vmqnlpxElxlen86JrZZGcm8F+WbRxpkNKrQGCx2khLiOLCACyuckUGuBterahxFFfJ8okpRYaF8qeVeYSGKu5aK6VXZlfd0sX7AVxc5YoMcDdYrDYmJ8VyzqTRRkcRI5Q5Oobf3ZLDnppWfrRph9FxhBvWWZ3FVfnBc0IlA3yEDjd08PnhxoC7x14wuiQrhW9fMo2iEjuFxceMjiNGYHBQU1Ri57wpY5kwNsboOD4jA3yEiqxSXBVI7r9sBhdOT+JHL+5kR2XQN0OYzqeHj3OsMbCLq1yRAT4CQ8VVl2SlkBovxVWBYKj0amyslF6ZUZHVTlxUGEvnjjM6ik/JAB+B9/fXU9fWw/Ig2aoULMbERvCnlXlUt3TxPUs5g4NSemUGLV19vFpRzfU56USFB25xlSsywEegsNhG0qgIFs9KMTqK8LC8CaP54VWzeGt3HX9+/6DRccRZeHlbFT39gV9c5YoM8GGqb+vh7d113JCbQXio/PUFoq+fP4lrs9P5zZa9fHywweg44gwsVkdx1byMwC6uckUm0DBtchZXBdvFkmCilOKXN85jclIs9z1fRq2UXvmt3dWtbLe3sCIIiqtckQE+DFprCq028iYkMi1FiqsCWayz9Kqzd4B7nyulT0qv/JLFaiMiNCQoiqtckQE+DGW2Zg7UtQflWlswmu4svSo+0sSvX99jdBxxkp7+ATaVVXL57FRGB0FxlSsywIfBUuwsrspONzqK8JHrczL4X+dN5P99cJjXd1QbHUd8yVu76hzFVUG8nOnuTY0TlVLrlFJ7lFK7lVLneSqYv3EUV1Vx9fw0RkWGGR1H+NAPr55F9vhEHizazmEpvfIbhVYb6QlRXDAtyegohnH3DPwPwOta65lANrDb/Uj+afP2ajp6B+TiZRCKDAvl6ZV5hIUq7lpTQlevlF4Zraq5iw/2B1dxlSsjHuBKqXhgEfAsgNa6V2vd7KFcfqfIamdKUiwFE6W4KhhlJEbz+1tz2Vvbxn9v2iF3tjfYuhI7WhP0H6Zz5wx8ClAP/E0pVaaU+otSKvbkL1JK3aGUsiqlrPX19W4czjiH6tv5/EhjUNxjT5zaRTOSuX/xdNaX2nmh2GZ0nKDlKK6ycf7UsYwfEzzFVa64M8DDgDxgtdY6F+gAHj75i7TWz2itC7TWBcnJ5ixZLyqxExqiuCkvOLcqiX+579LpLJqRzKMvSemVUT49dBxbY5csZ+LeALcDdq31Z87fr8Mx0ANK/8Ag60vsXJKVTIoUVwW9kBDF72/JISk2gjvXlNDc2Wt0pKBjsdqIiwpjyZzgKq5yZcQDXGtdA9iUUlnOhxYDuzySyo+8t0+Kq8SJxsRG8PSqfGpbu/muZZuUXvlQS1cfr+2oYVlORtAVV7ni7i6UbwNrlVLbgRzg524n8jOO4qpILp0pxVXiX3LGJ/Kja2azdU8dq9+T0itfeSmIi6tccWtDs9a6HCjwTBT/U9/Ww9Y9dXzzgslSXCW+4t/OnYj1SBO/fWMvOeMTWRjE+5F9xVJsY1ZaPHMz4o2O4hdkKp3GxjI7/YNalk+ES0opfnHjPKYkj+K+58uoaZHSK2/aVdVKRWULK+Q2hl+QAX4KWmsKi23kTxzNtJRRRscRfspRepVHV5+UXnnbUHHVshzZDTZEBvgplB5r5mB9BysK5J6X4vSmpcTxq5vmYz3axC9fk9Irb+jpH2BTeSWXzwne4ipXZICfgqXYRkxEKFfPl+IqcWbXZqfz7+dP4tkPD/NqhZReedqbu2pp7uzjFlnOPIEMcBc6evp5ZXsVV8+T4ipx9n5w1SxyJyTy0LrtHKpvNzpOQCksdhRXyYXiE8kAd2FzhRRXieGLCAvhT7fnEREWwl1rSuns7Tc6UkCobO7iwwMN3FwwPqiLq1yRAe5CkdXGlORY8qW4SgxTemI0f7g1h311bfz3Rim98oR1VmdxVb5cjzqZDPCTHKxvp/hIU9DeY0+478LpyTxw2Qw2lFXy3OfHjI5jakPFVQunSXGVKzLAT1JkdRRX3SjFVcIN914yjYuzkvnxS7vYbm82Oo5pfXLoOPamLvnk5SnIAP+S/oFB1pfauSQrhZQ4Ka4SIxcSovjdihyS4yK5a00pTR1SejUSFquNeCmuOiUZ4F/y7t566tt65OKl8IjRsRE8vTKP+rYeHrCUS+nVMLV0OourcqW46lRkgH9JodVRXHVxljl7y4X/yR6fyI+unc27e+v50zsHjI5jKi9tq6RXiqtOSwa4U11bN1v31HFTfoYUVwmPWvW1CSzLSeeJt/bx4f4Go+OYRqHVxuy0eOZmJBgdxW/JpHLaWFrJwKBmeb682wvPUkrx8xvnMT1lFPe9UEZ1S5fRkfzezqoWdlS2SpXFGcgAx1lcZbVRIMVVwktiIsJYvSqfnr4B7llbSm+/lF6dTpHV7iiuypXdYKcjAxwoPdbEofoOWWsTXjU1eRS/vjmb0mPN/OK13UbH8VvdfQNsLKvkijmpJMZIcdXpyADH0bPgKK5KMzqKCHBXz0/jGwsn8bePjvDK9iqj4/ilN3fV0tLVJ7vBzkLQD3BHcVU118xPI1aKq4QPPHLlLPInjub767ZzoE5Kr05msdrISIxm4VQprjqToB/gm7dX0ynFVcKHhkqvosJDuXttiZRefYm9qdNRXJWfSYgUV52RWwNcKXVEKVWhlCpXSlk9FcqXLM7iqrwJUlwlfGdcQhRP3pbLgbp2frChQkqvnNaV2AFYLrtPzoonzsAv0VrnaK1Nd3PjA3XtWI82cYsUVwkDLJyWxHcvn8Gm8irWfCalV4ODmiKrnYVTk8gcLcVVZyOol1CKSmzO4ip5txfGuPviaVw6M4WfvLyTcluz0XEM9fHB41Q2d7FCljPPmrsDXANvKKVKlFJ3uPoCpdQdSimrUspaX1/v5uE8p29gkPUllVw6M4XkuEij44ggFRKieGJFNqnxUdyzNrhLryxWGwnR4VwxO9XoKKbh7gBfqLXOA64E7lFKLTr5C7TWz2itC7TWBcnJ/tMx8s6eOhrae+Qee8JwiTH/Kr36TmFwll61dPbx+s4aluWkS3HVMLg1wLXWVc6f64CNwAJPhPIFi9VOcpwUVwn/MD8zkUevm817++r549bgK73aVO4orlouJ1TDMuIBrpSKVUrFDf0auALY4alg3lTX2s07e+u4KS+TMCmuEn7i9gUTuDE3g9+/vY/39/nPcqMvWKw25qRLcdVwuTO9UoEPlVLbgM+BzVrr1z0Ty7s2lDmLq2SrkvAjSil+dsM8ZqTEcf8LZVQ1B0fp1Y7KFnZWtUqVxQiMeIBrrQ9prbOdP+ZorX/myWDeorXGUmzjnEmjmZosxVXCv0RHhLJ6VR59A5q7g6T0qshqIyIshOtz0o2OYjpBt35QcrSJQw0dstYm/NaU5FH8+ub5lNua+fmrgV161d03wKbyKpbMGSfFVSMQdAO8sNhGbEQoV8+T4irhv66al8Z/XDCZv398hJe2BW7p1RtDxVVyQjUiQTXA23v62VxRzTXz06W4Svi97185k3Mmjebh9ds5UNdmdByvsBQ7iqvOnzrW6CimFFQDfPP2Kjp7B+STXsIUwkNDeOr2PGIiQrlzTSkdPYFVemVr7OSjgw0sL5DiqpEKqgFusdqZljKKvAmJRkcR4qykxjtKrw7Vt/NIgJVeDRVX3Zwvu8FGKmgG+IG6NkqONrGiIFOKq4SpnD81ie9dkcVL26r45ydHjY7jEYODmnUldi6YJsVV7giaAV5ktRMWorghV97thfncddFUFs9M4aebd1F6rMnoOG776GCDo7hKLl66JSgGeN/AIOtL7VJcJUzLUXqVw7iEKO5dW0qjyUuvCosdxVWXS3GVW4JigG/dU0dDe6/cdUeYWkJMOKtX5tPQ0cv9L5QxYNLSq+bOXt7YWcsNuRlSXOWmoBjgRVYbKXGRXDRDiquEuc3NSODH183hg/0NPPn2fqPjjMimskp6BwalysIDAn6AO4qr6rkpX4qrRGC49Zzx3JSXyZNb9/Pu3jqj4wybxWpnbkY8c9KluMpdAT/R1pc6i6tkq5IIEEopfrpsLlmpcXynsJxKE5Ve7ahsYVe1FFd5SkAPcK01RVYbCyaNYYoUV4kA4ii9ymfAWXrV0z9gdKSzYhkqrsrOMDpKQAjoAW79orhKzr5F4JmcFMvjy7PZZmvmZ5v9v/Squ2+ATWWVLJ0zjoSYcKPjBISAHuCFxTZGRYZx9XwprhKBaenccdyxaAr//OQoL5ZXGh3ntLbsrKG1u192g3lQwA7w9p5+Nm+v5trsNGIipLhKBK6HlmSxYNIYHl5fwf5a/y29slhtZI6O5rwpUlzlKQE7wF/ZVkVX34D0fouAFxYawlO35xIbGcada0po98PSK1tjJx8dOM7y/PFSXOVBATvALVYb01NGkTs+0egoQnhdSnwUf7wtl8MNHXx//Xa/K70qKrGjFNws16M8KiAH+IG6NkqPNbOiYLwUV4mgcd7UsTy4ZCabt1fz94+PGB3nCwODmnVWGxdMSyIjMdroOAElIAe4Zai4Kk+2KongcudFU7hsVio/27ybkqP+UXr10YEGqlq65eKlF7g9wJVSoUqpMqXUK54I5K6+gUE2lNpZPCuFpFFSXCWCi1KK367IJj0xmnufK+V4e4/RkSi02kiMkeIqb/DEGfj9gN9sQn17txRXieCWEB3O0yvzON7Ry/0vlBtaetXU0cubO2tZlpNBZJgUV3maWwNcKZUJXA38xTNx3DdUXLVouhRXieA1NyOBx66fw4cHGvjDW/sMy7Gp3FFcJR+d9w53z8B/DzwEDJ7qC5RSdyilrEopa319vZuHO73a1m7e2VvHzVJcJQS3nDOB5fmZPLn1AO8YUHqltaaw2Ma8jARmp8f7/PjBYMRTTil1DVCntS453ddprZ/RWhdorQuSk717Vry+1M6gRvZ+C+H02LK5zEqL54HCcuxNnT499o7KVvbUtLFCtg56jTunqQuB65RSR4AXgEuVUms8kmoEHMVVdhZMHsPkpFijYgjhV6LCQ1m9Mo+BQd+XXlmsNiLDQrguR3aDecuIB7jW+hGtdabWehJwK7BVa73KY8mGqfhIE4cbOrhFzr6FOMGkpFh+uzyb7fYWHntll0+O2d03wKbySq6cO46EaCmu8paAWSgeKq66ct44o6MI4XeumDOOb100hTWfHmNTmfdLr7bsrKGtu18uXnqZRwa41vpdrfU1nniukWjr7uPVimquzU6X4iohTuHBK7L42uQxPLKhgr013i29Kiy2MX5MNOdKcZVXBcQZ+Cvbq+nqG5CLJUKcRlhoCH+8PZdRUWHctaaEtu4+rxzn2PFOPj4oxVW+EBAD3GK1MSN1FDlSXCXEaaXERfHUbbkcbez0WunVuhKbo7hKbmPodaYf4Ptr2yiT4iohztrXpozloSVZvFpRw18/OuLR5x4Y1BSV2LlwejLpUlzldaYf4IXFNkdxVa5sVRLibN2xaApXzE7lF6/uxnqk0WPP++GBBqpbumU3mI+YeoD39g+ysaySy2alMlaKq4Q4a0opHl+eTcboaO55rpQGD5VeWYptjI4J57LZKR55PnF6ph7gW/fUcrxDiquEGImE6HBWr8ynubOP+18oc7v0qrGjlzd21bAsV4qrfMXUA9xitZMaH8mF05OMjiKEKc1Oj+exZXP56MBxfveme6VXm8oq6RvQsvfbh0w7wGtaunlXiquEcNuKgvHcUjCep945wNY9tSN6Dq01FquN+ZkJzEqT4ipfMe3k+6K4Kl/e7YVw14+vn8Oc9HgeKNyGrXH4pVcVlS3sqWmTIjkfM+UAdxRX2fja5DFMkuIqIdzmKL3KR2tH6VV33/BKr74orspO91JC4YopB/jnhxs5crxTLl4K4UETxsbwxIocKipb+MkwSq+6+wZ4sbyKq+alSXGVj5lygBdabcRFhnHl3DSjowgRUC6bncpdF0/luc+Osb7Eflbf8/oOR3HVcqmy8DnTDfAviqty0omOkK1KQnja9y6fwXlTxvLDTRXsqWk949cXFtuYMCaGcydLcZWvmW6Av7ytmu4+uceeEN4SFhrCk7flEh8Vzl1rSmk9TenV0eMdfHLoOMvzM6W4ygCmG+AWq42s1DiyMxOMjiJEwEqOi+Sp2/M41tjJQ0WnLr1aV2J3FFfJ8okhTDXA99W2UW5rZnlBphRXCeFlCyaP4eGlM3l9Zw3Pfnj4K38+MKhZV2Jn0fRk0hKkuMoIphrghcU2wkOluEoIX/mPCyezdM44fvHaHopPKr36YH+9o7hKdoMZxjQDXIqrhPA9pRS/Xj6f8aOjuWdtKfVt/yq9slgdxVWLZ0lxlVFMM8Df3l1LY0cvK+TdXgifio8KZ/WqfFq7+7jv+TL6BwZp7OjlzV213JCbKcVVBhrxDSSVUlHA+0Ck83nWaa0f9VSwIZvKKnl8y14qm7sIUdDU3uvpQwghzmBWWjw/XTaP/yraRs5P3qS9px+ApLgIg5MFN3fOwHuAS7XW2UAOsFQpda5HUjltKqvkkQ0VVDZ3ATCo4YebdvjkrtpCiBOFhShCQ9QXwxvgj28fkNejgUY8wLVDu/O34c4fHr3B3uNb9tJ1UidDV98Aj2/Z68nDCCHOwuNb9n6lM1xej8Zyaw1cKRWqlCoH6oA3tdafufiaO5RSVqWUtb6+fljPX+U88z7bx4UQ3iOvR//j1gDXWg9orXOATGCBUmqui695RmtdoLUuSE5OHtbzn+qmqHKzVCF8T16P/scju1C01s3Au8BSTzzfkAeXZBEdfuIV7ujwUB5ckuXJwwghzoK8Hv2PO7tQkoE+rXWzUioauAz4lceSAcucH9h5fMteqpq7SE+M5sElWV88LoTwHXk9+h91qo6DM36jUvOBfwChOM7kLVrrn5zuewoKCrTVah3R8YQQIlgppUq01gUnPz7iM3Ct9XYg161UQgghRsw0n8QUQghxIhngQghhUjLAhRDCpGSACyGESY14F8qIDqZUPXB0hN+eBDR4MI6nSK7hkVzDI7mGx19zgXvZJmqtv/JJSJ8OcHcopayuttEYTXINj+QaHsk1PP6aC7yTTZZQhBDCpGSACyGESZlpgD9jdIBTkFzDI7mGR3INj7/mAi9kM80auBBCiBOZ6QxcCCHEl8gAF0IIkzLFAFdKLVVK7VVKHVBKPWx0HgCl1F+VUnVKqR1GZ/kypdR4pdQ7SqndSqmdSqn7jc4EjptgK6U+V0ptc+b6sdGZvsx5d6kypdQrRmcZopQ6opSqUEqVK6X8psZTKZWolFqnlNrj/Hd2nh9kynL+PQ39aFVKfcfoXABKqQec/+Z3KKWed94Q3jPP7e9r4EqpUGAfcDlgB4qB27TWuwzOtQhoB/6ptf7KnYiMopRKA9K01qVKqTigBFjmB39fCojVWrcrpcKBD4H7tdafGplriFLqu0ABEK+1vsboPOAY4ECB1tqvPpiilPoH8IHW+i9KqQggxnlTF7/gnBmVwNe01iP94KCnsmTg+Lc+W2vdpZSyAK9qrf/uiec3wxn4AuCA1vqQ1roXeAG43uBMaK3fBxqNznEyrXW11rrU+es2YDdgeOO+L26CPVJKqUzgauAvRmfxd0qpeGAR8CyA1rrXn4a302LgoNHD+0vCgGilVBgQA1R56onNMMAzANuXfm/HDwaSGSilJuHobP/KzaaNcDY3wTbI74GHgEGDc5xMA28opUqUUncYHcZpClAP/M255PQXpVSs0aFOcivwvNEhALTWlcBvgGNANdCitX7DU89vhgGuXDzmF2du/kwpNQpYD3xHa91qdB44u5tg+5pS6hqgTmtdYnQWFxZqrfOAK4F7nMt2RgsD8oDVWutcoAPwi+tSAM4lneuAIqOzACilRuNYMZgMpAOxSqlVnnp+MwxwOzD+S7/PxIP/CxKInGvM64G1WusNRuc5mbdugj1CC4HrnOvNLwCXKqXWGBvJQWtd5fy5DtiIYznRaHbA/qX/e1qHY6D7iyuBUq11rdFBnC4DDmut67XWfcAG4HxPPbkZBngxMF0pNdn57nor8JLBmfyW82Lhs8BurfUTRucZopRKVkolOn89dBPsPYaGArTWj2itM7XWk3D829qqtfbYGdJIKaVinRehcS5RXAEYvuNJa10D2JRSQ7eiXwwYeoH8JLfhJ8snTseAc5VSMc7X5mIc16U8YsT3xPQVrXW/UupeYAuOGyj/VWu90+BYKKWeBy4GkpRSduBRrfWzxqYCHGeU/wZUONebAX6gtX7VuEgApAH/cO4QGLoJtt9s2fNDqcBGx2ueMOA5rfXrxkb6wreBtc4TqkPANwzOA4BSKgbHbrVvGZ1liNb6M6XUOqAU6AfK8OBH6v1+G6EQQgjXzLCEIoQQwgUZ4EIIYVIywIUQwqRkgAshhEnJABdCCJOSAS6EECYlA1wIIUzq/wPxxcPpckwJoAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array([0, 2, 6, 8])\n",
    "y  = np.array([3, 10, 3, 10])\n",
    "plt.plot(x, y, marker ='o')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array([0, 2, 6, 8])\n",
    "y  = np.array([3, 10, 3, 10])\n",
    "plt.plot(x, y, marker ='o')\n",
    "plt.plot(x, y * 0.5, marker ='x')\n",
    "plt.plot(x, y * 0.25, marker ='v')\n",
    "plt.plot(x, y * 0.45, marker ='v')\n",
    "plt.plot(x, y * 0.15, marker ='^')\n",
    "plt.plot(x, y * 0.75, marker ='D')\n",
    "plt.plot(x, y * 0.85, marker ='H')\n",
    "plt.plot(x, y * 0.65, marker ='*', ms=20, mfc = 'y', mec='y')\n",
    "plt.plot(x, y * 0.05, marker ='.')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Default value for x-axis\n",
    "If x-axis is not given, the x-axis will be the length of y."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "y  = np.array([3, 10, 3, 10])\n",
    "plt.plot(y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us draw a line with multiple points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array([-3,-2,-1, 0, 1, 2, 3, 4, 5, 6])\n",
    "y = np.array([-2,-1, 0, 4, 4, 4, 4, 3, 2, 0])\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(21)  # [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20]\n",
    "y = 2 * x\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(21)  # [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20]\n",
    "y = -2 * x\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(-20, 21)\n",
    "y = x ** 2\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(21)  # [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20]\n",
    "y = 2 * x\n",
    "plt.plot(x, y)\n",
    "plt.xlabel('X')\n",
    "plt.ylabel('Y')\n",
    "plt.title('X versus Y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding color to line graph\n",
    "The plot method takes many arguments. The c argument takes named color or hexa-decimal color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(25)\n",
    "y = 2 * x\n",
    "plt.plot(x, y, c='g') # c ='g' or c ='green' \n",
    "plt.title('X versus Y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Line Width\n",
    "It is possible to change the default width of the line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(25)\n",
    "y = 2 * x\n",
    "plt.plot(x, y, c='g', linewidth=5) # c ='g' or c ='green' \n",
    "plt.title('X versus Y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Line Style\n",
    "It is possible to change the default line style. Some of the line styles are solid, dotted, dashed, dashdot. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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pUQWoffvspv5h59Gd3DHzDh7+7GEOJx3m1ituZWOPjQxoOEBz7w7RIq8AuPFG27O+Wzd7UXbkSLj2Wjuto7KoWNFu6jRvLDJicgSLti/i4vCLeaf9Oyx9eClXlb7K6eGFNC3y6rRSpWDq1DPjlo0bw6hRTo8swJQvbzcFwNr9a7nxzRvPiEX+0vsXjUUGCC3y6h8aNbIJnKFDbSKnSROnRxRgdLoGsLHIpxc/zQ0xN7Bm/xouK3kZCx9YyAf3fKDdIgNIvou8iFQWkRUiEi8im0XkCc/+0iKyRER+8/y8OP/DVQXF293y99+hYcOM/ZMnw969zo1LBYbMsUiD4Ykbn2Bzz820rtra6aGpLHxxJp8KPGWMqQ7cBPQSkRrAQGCZMaYqsMxzXwWZsmUzbi9fDr162Z71kyfrYuKh6HDSYR757BFun3E7O4/tpHbZ2qx+bDUTWk3QRbQDVL6LvDFmvzFmjef2/4B4oCLQHpjuedp04K78fpZyVrVq0L69XUy8Vy97hh+Sccu6de0WQrKLRb7U/CViI2M1FhngfDonLyJVgOuBH4Gyxpj9YP8hAHSSLshVqgSffWZXnipXzjY+C8m45Zo1dgsRWWORzao0Y0P3DQxsOFBjkUHAZ0VeRIoBnwJPGmP+zMProkQkVkRiExISfDUc5ScicM89EB9/ZtxyxAinR1aAYmPt5nKp6amM/X4sNafUPB2LfLvd2yx7ZBlV/13V6eGpXPJJgzIRKQwsABYZY8Z59v0KNDXG7BeR8sBKY8zVOb2PNigLPt9+C0OGwJw5ULq006NRvrJ2/1oi50cStz8OgM41OzOh5QTKFit7jlcqJ/i1QZnYIOxbQLy3wHvMA7p4bncBPs/vZ6nA06gRrFyZUeD//htuvRU+/VSbNAajpJQknlnyDDfE3EDc/rjTscgP7/lQC3yQ8sV0TQPgYeBWEVnn2VoDLwMtROQ3oIXnvnK5d9+FFSvg3nttC2NXxi2HD7eby3hjkWO+H4PB8OSNT2os0gW0n7zyqfR0+63ZgQNtCqd4cXj5Zeje3UXdLV3WTz5rt8jaZWsT0zaG+hXrOzwylVvaT14VmEKFoGdP2wcnc9yyUSO7zxWGDbNbkMspFqkF3j20n7zyC2/ccs4c6N3bdrdcu9b2sg96Lpiq2Xl0Jz0W9mDR9kUA3HrFrUxrM02bibmQFnnlN964ZfPm8N578MADGY/t2wcVKjg3tlCVmp7KhNUTGLpiKMmpyVwcfjFjbx+rzcRcTKdrlN+VKgWPP54xlf3LL3DllTZnH5SLicfF2S3IrNm/5oxukZ1rdia+Vzz/d/3/aYF3MS3yqsD99BOkpdlV9GrUsFM6QaVePbsFCW+3yPox9c/oFqmxyNCgRV4VuEcesfPzN98M+/fbKZ2gilvWqWO3ILBk+xJqTal1ulukxiJDjxZ55YiICFi1CiZNsjHLuXNtd8v5850eWS4EwXRN5m6RO47uON0tcnyr8dotMsRokVeOyRq3TEmxhV6dv+xikS/e+qJ2iwxhmq5RjvPGLbdtg6s8CT5j4J134MEH7QIm6tyyxiKbVWnGtDbTtJlYiNMzeRUQRKBqplr07rvw2GNw3XV2WiegVKgQUPlP7RapcqJn8iogVa0KV19t45aNGtm45csv2zim4/bvd3oEp2m3SHUueiavAlLDhnYx8SFDoHBhmDYtgOKWe/c6HgXKvIi2t1vkgvsXaCxS/YMWeRWwwsPtYiRZ45azZjk8MIenazIvop1u0k8von1ntTsdG5MKXDpdowKeN245dSrMmAEdOjg9ImccTjrMU4uf4r317wFQ69JavNnuTW0mpnKkZ/IqKHjjlt99B0WK2H2HD0O7dg50t4yKslsBMcYwc8NMqk+qznvr36NoWFFevPVF4qLitMCrc9J+8ipo9ekDb7xh5+wHDYLBgwsoblmA/eQ1FqlyI6d+8jpdo4LWyJFw6pTtgTNiBHz8sb3dqJGfP3jaND9/gI1Fvrb6NYauHEpSSpJ2i1TnTc/kVdD75hs7e/Lrr/Z+VBS88kqAxC3Pg8YiVV7pylDK1Ro3PjNuGR0NmzY5Paq8y24RbY1FqvzS6RrlCt645X33weLFNmfvdfw4lCzpww/zdlFr29Znb7l0x1K6LejGjqM7EIQnbnyCkc1GUrxocZ99hgpNWuSVq0RE2M1rxQrbxvill+y3Zn2ymHi7dvanD6Y6NRap/E2na5SrzZ1rz+R79vThYuJt2tgtHzQWqQqKXnhVrmZMxmLiBw44ELfMxq5ju+i+oLvGIpXP6IVXFbK8i4nHx9vUTUqKnbu/7rqC/xJVanoq434YR8TkiNPdIt9q95Z2i1R+pXPyKiSUKmXj7Q8+CJGRkJgI5coV3OdrLFI5RYu8CimNG8P69bB1K5QubfedPAlLl8Kdue3vlYdvvCalJPH8yucZ+8NY0kwal5W8jMmtJ2szMVVgdLpGhZzwcKhdO+P+iy/a66i+Xkx86Y6l1JpSi9Hfj9ZukcoxWuRVyKtYMWMx8Ro1YMoUSE/P4QXG5HgWfzjpMF3mdqHF+y3YcXQHtS6txequq5nQaoIuoq0KnBZ5FfKiouxF2Hbt4M8/bdyyceO8X5jVWKQKRFrklcIuJj53LsyebS/IfvedTeBs2JC71+86tos7Zt7BQ589xOGkwzSr0oyNPTYyqNEgCocV9ufQlcqRXnhVysMbt2zeHAYMgN9/h1q1snmit53B/Pmkpqcy8ceJDFkxRLtFqoDk9yIvIq2A14Aw4E1jzMv+/kyl8sMbt0xJyQjS/PorTJxoL9KWXLAAgHUH1tF1XleNRaqA5tciLyJhwCSgBbAH+FlE5hljCnotH6XyrHCmWZbevW3Mcu5c+PCZT9lx0Uy6RtcjzaRRuURlptw5RVMzKiD5ta2BiNwMDDfGtPTcHwRgjHkpu+fnt63BypV5+/W4WLE61KsX94/XN22a8d8kNrYuf/21Jk/vm93r69aNpXjxugD8+msU+/fH5Ok9s3t9tWrTqFDBLkO3b180W7d2y9N7Zvf68uUjufrqaAD+97844uKy/ab0WWX3+rP9d84t/XPSP6esr3fjn1Pm48wrJ9saVAT+yHR/j2ffaSISJSKxIhKbkJDg5+EopVRo8feZfEegpTGmq+f+w0B9Y0yf7J6vDcpUoDHG8OGmD3nyqydJSEqgaFhRPthzN/t+aEKfDd0pWhR++QWqVHF6pCqUObnG6x6gcqb7lYB9fv5MpXxi17Fd9FjYg6+2fQVk6hZ5STVgFuU+6U5CQkaBN8ZerC1SxLEhK/UP/i7yPwNVReQKYC/QGXjAz5+pVL6kpqfy+o+v89yK50hKSaJUeCnG3j6W/7vu/2wsMjISgHvvtc/3/jI8fTqMHg0xMdCggUODVyoLvxZ5Y0yqiPQGFmEjlG8bYzb78zOVyo+sschOEZ14rdVrlCuWqWVldPQZrxGxhT462rY0btgQuneHl1/28bKDSp0Hv3/j1RjzhTGmmjHmSmPMKH9/nlLnIykliQFLBlAvuh5x++OoVKIS8++fz0f3fnRmgT8LEVi+HJ57Di64AKZOtX1wPvusAAavVA60rYEKect2LKP2lNqnu0U+Xv9xtvTcQptqZ1nib98+u2URHg4jR8LatXDTTfYpHTrYLTHRzweh1FloWwMVso4kHeGpxU8xff10wC6iHdM2hhsr3ZjzCyt6UsBnSabVrAmrVtluloMG2d71xbT5pHKIFnkVcrKLRQ5tMpSnb3k6d83Eypc/51PCwuy3ZNu3h2PHMhI3hw/DoUN2KkepgqBFXoWUrLHIplWaMq3NNKr9u1ru3ySbqZqzqVzZbl79+sGsWXYh8UGDnFtMXIUOnZNXISEtPY3xP4wnYnIEX237ilLhpXiz7Zssf2R53gp8fsaQBhdeaLP0zz8P119vWxor5U9a5JXrrT+wnpveuol+i/uRlJJEp4hOxPeK57E6jxVoO+CwMNvdcuVKqFYtI27ZowccP15gw1AhRou8cq3klGQGLh1I3ei6xO6LzXMs8qzq1rXbeWrSxC4mnjluGRGhhV75h87JK1datmMZ3RZ0Y/vR7QhCn/p9GHXrKIoXLZ7/N1+Tty6K2fHGLe+7z36BtnZt/eKU8g8t8spVssYia15ak5i2MdxU6SbffYgPm+h545YnT2bs+/prO5UTFQWF9HdtlU9a5JUrnC0W2f+W/hQJ83HHsHxM1WQnLAz+9S97+9Qpe2b/228wY4ZtlaBxS5Ufep6ggt6uY7to/UFrHpzzIAlJCTS5vAkbemxgcKPBvi/wfla4MIwaBWXLZiwmPnz4mWf6SuWFFnkVtM4Wi1zRZYV/Y5HDh9vND0SgY0c7XdO165lxy1Wr/PKRyuX8umhIXumiISq31h1YR+T8SGL32f9fsu0W6S/e2GUB/N35+ms7N791qz2737nTZu2VyszJRUOU8qmklCRGfD2CV79/lTSTRqUSlZhy55SzNxPzh2HDCuyjvHHLUaPsRVpvgU9P14uyKnf0TF4FjayxyN71e/suFhlkhg+HDRvgjTegQgWnR6OcpmfyKqidd7dIl/rrL1vcjxyBZcvglVc0bqnOTv+3UAHLGMMHGz+g+qTqTF8/naJhRRl16yjiouKcLfBxcXZzSLFitmd927bw55+2LUKTJvZirVJZaZFXASlrLLJplaanY5G5agfsT/Xq2c1BlSvD55/Dxx/bC7KrVtm45fPPQ2qqo0NTAUaLvAoogdAt8pzq1LGbw7LGLU+dstn6sDCnR6YCic7Jq4Cx/sB6us7v6kwsMi8cnKrJzsUXQ0wMPPSQPcP3Jjz/+ANKlNCeOKFOz+SV4/zWLTLENGkC//mPvZ2ebou+LiautMgrRy3bsYxaU2rxynevkG7S6VO/T86LaKtcOXrUtkLIvJh4Hha0Ui6iRV454kjSEf4797/c9v5tbD+6nZqX1uT7x75n4h0TAz/3XqFCwIfT//1vOz8/caJN43z2GVSvbhctSU93enSqIGmRVwUqp1ikT9sB+9P+/XYLcGFh0KcPbNkCbdrYuGX37tCqVYF0ZFABQi+8qgLz+7Hf6bGwB19u+xI4z0W0A8HevU6PIE8qV4Z582D2bFv0mzXLuDir3E+LvPK7tPQ0Jv44kedWPEdSShKlwkvxaotXefT6Rwt0jVWfCfCpmux445a33Wanb7w+/xwuuQQaNHBubMq/tMgrv8oai+xYoyMT75ioqRmHXHxxxu1Dh+DRRyEx0X5r9qWXNG7pRjonr/wiu1jkvM7z+Ljjx8Ff4KOi7BbkSpSwxf2CC2DKFBu3nDvX6VEpX9MulMrnlu9cTtT8KPd2iyzAfvIFYeNGu+Tgjz/a+x06wOuvB+WsVMjSLpSqQBxJOkL/Jf15d927gJ8W0Q4E06Y5PQKfqlXLxi2nTIFBg2DOHDhwwO5TwS9fRV5ExgBtgVPAduD/jDHHPI8NAh4D0oDHjTGL8jdUFaiyW0R7SOMhPN3g6aBbYzVXXDBVk1VYGPTuDe3b258DBmQ8ZoymcYJZfs/klwCDjDGpIvIKMAgYICI1gM5ABFABWCoi1Ywxafn8PBVgssYim1zehOi20cEXi1RARnfLzLp1g4oVYeBAKFrUmXGp85evC6/GmMXGGG9j09VAJc/t9sAsY8xJY8xOYBtQPz+fpQJLWnoaE1ZPIGJyBF9u+5JS4aWIaRvD8i4B1C3SX+bPt1sIiI+3zc+GD7eLiesUTvDxZbrmUeBLz+2KwB+ZHtvj2adcYP2B9dz81s30XdSXEykn6BTRifhe8XSt05VCEgKBrXbt7BYCqleHlSuhWjVb8Bs2hJ494fhxp0emcuucfyNFZKmIbMpma5/pOc8CqcBM765s3irbKIKIRIlIrIjEJiQknM8xqAKSnJLMoKWDqBtdl5/3/Xw6Fhly3SLbtLFbiPAuJv7ssxq3DEbnnJM3xtyW0+Mi0gVoAzQ3GXnMPUDlTE+rBGTbA88YEw1Eg41Q5mLMygFZF9HuU7+Pu2KReREiUzWZhYfDCy/AffdlxC0XLoS77nJ6ZOpc8puuaQUMAJoYY5IyPTQP+EBExmEvvFYFfsrPZylnJCYn8tTip07HIiPKRPBmuzfdF4tUueKNW8bE2ILvtW8flCuni4kHovyma94AigJLPD1IVhtjuhtjNovIx8AW7DROL03WBBdjDLM2zeKJr54IjVikyrWwMNvN0uvvv23Ts7JlIToarrnGubGpf8pXkTfGXJXDY6OAUfl5f+WM7GKR09pM4+pLrnZ4ZAHCZd94za+tW+2F2K1b4dpr7dz9wIFQRM8FAoL+cqVOyykWqQVenU3t2mcuJj5smI1bfv+90yNToEVeeWw4uCG0Y5F5YYyexWfhXUx8xQqoWtUuVNKwIQwZ4vTIlP7tDXEai1S+1LSpjVsOHmzn7qtXd3pEShuUhbDlO5fTbUE3tiVu01ik8pkLL4RRo2yv+v/8J2P/p5/CLbdA+fLOjS0UaZEPQYnJifRf3J931r0DaCwyz9q2tT9DMC+fF1demXF7yxa4/374179g9Gg7f69xy4Kh/5lDiDcWWX1Sdd5Z9w5FwoowstlI1nRbowU+LxYssJvKtRIloGVLm8Lp1s1O6/zyi9OjCg1a5EPE7uO7afNhG+7/9H4OnThE48sbs6H7Bp5r/Jzm3vNq3jy7qVyrVMn+J5s1Cy69FL791sYtR460iRzlP7oylMulpafxxk9v8OzyZzmRcoKSRUsypsUYHqvzmKZmlCMSE+Hpp+Htt+39bt1g6lRnxxTsdGWoELX+wHoi50fy876fAbi3xr1MbDWR8sX1ypdyTunS8NZb8NBD8OST8MwzTo/I3bTIu1BySjIjvh7Bqz+8Smp6KhWLV2TynZNpd3VotMf1u+ho+9OFK0QVpGbNYN26M79A/PDD0LGjXaFK+YZO17jMip0riFoQdToW2euGXoxqPooSRUs4PTT30LYGfvHpp3Dvvfb2PffYxcQ1bpk7OU3X6KSsSyQmJ/Lo549y63u3si1xGxFlIvju0e94vfXrWuB9LTLSbsqn7roLXnsNLrrIFvzq1e0vTenpTo8suOmZfJAzxvDR5o944qsnOHTiEEXCijCk8RCeafCMpmZUUNq9264+tXChvd+4MUybpt0tc6Jn8i61+/hu2n7YVmORylUuu8x+z8wbt/zmG5gzx+lRBS+98BqENBbpsH2eRc4qVHB2HC4mYhcladECJkywkUuvY8egVCmHBhaEtMgHmQ0HNxA5P5Kf9tqFtjQW6YCKnjXpA2iq061Kl4YRIzLuHzoEERH2H4AXX7TfpFU509O+IJG5W+RPe3+iUolKfN75cz7p+IkW+IJWvrzGPhzy9df2TH7SJLuYuH7x+Ny0yAeB5TuXU3tqbV7+7mXS0tPofUNvNvfcrLl3p+zblzFlowpUx44QFwc33AB799o8fceOsH+/0yMLXFrkA5g3Ftn8veYai1TKo3Zt+OGHjLjl7Nk2bjl7ttMjC0xa5ANQTt0ib658s9PDU8pxYWHw+OO2hfGdd9ruluV0jZts6YXXALP7+G56LOzBF799AUDjyxsT3SZa11gNJHXr2p9xcc6OQ52OW65Zk/HHAnauvlUrXUwctMgHDI1FBpE1a5wegcpE5MwCv2yZnauPiLDfmL3lFufGFgi0yAcAjUUGGf1WdkALD4erroLNm+1i4j16wEsvhW7cUk8RHZSckszgZYNPxyIrFq+oschgULfumaeOKqA0aAAbNmQsJj55so1bfv650yNzhhZ5h6zYuYLaU2vz0qqXSEtPo9cNvdjSa4vGIpXyAe9i4pnjlnfdFZqLk+h0TQHLbhHtmLYxmpoJJsOHn/lTBSxv3PKNN2zr4vvuc3pEBU+7UBYQYwwfb/6Yx796/HS3yOcaPceAhgO0mViw0X7yQSk1FS7wnNb+/Td07w6DBsHVLgiu6fJ/Dtt9fDc9F/Zk4W+2d2qjyxoR3Taaay7R3qlBadgwp0egzsMFmard2LEwfTp8+CE89xwMGODeuKWeyfuRxiKVCkxZFxOPiICYGLg5SGdNtZ+8AzYe3Mgtb9/Ck4ue5ETKCe6tcS/xveKJrBupBV4ph3kXE1++PCNu2aAB9O4Nf/7p9Oh8S6uNj/2d+jfPLnuWOtF1Tsci5943V2ORbhIXp992dYlmzWzcctAgG7ecNAm++srpUfmWT4q8iPQXESMil2TaN0hEtonIryLS0hefE+hW7FxB7Sm1eXHVi2fEIttfo0vPu0q9enZTrnDhhbY3fVwc9O9vu1p6/f23c+PylXxfeBWRykALYHemfTWAzkAEUAFYKiLVjDFp+f28QJSYnMjTi5/m7XV2gk9jkS5Xp47TI1B+ULs2jBmTcT8+Hpo2hRdegMceg0JBOu/hi2GPB54BMl/BbQ/MMsacNMbsBLYB9X3wWQHFGMNHmz6i+qTqvL3ubYqEFWFE0xHaLdLtdLomJMyYYVeiioqy0zq//ur0iM5Pvoq8iLQD9hpj1md5qCLwR6b7ezz7snuPKBGJFZHYhISE/AynQHkX0e78aWcOnThEo8sasb77eoY0GaK5d6Vc4IUXzlxMvHZtGDkSTp1yemR5c84iLyJLRWRTNlt74FlgaHYvy2ZftllNY0y0MaaeMaZemTJl8jZ6B6Slp/Ha6teoMakGC39bSMmiJYluE83K/67U3LtSLuJdTDw+Hh591Bb3oUPtbN36rKe1Aeycc/LGmNuy2y8itYArgPVivwFYCVgjIvWxZ+6VMz29EhD066Vpt0gFQIUK9qcuARgSvHHLhx6yUzc7dkCxYk6PKvfO+8KrMWYjcKn3vojsAuoZYw6LyDzgAxEZh73wWhX4KZ9jdUxySjIjvxnJmO/HkJqeSsXiFZl852RtJhaqdEHRkOSNW/78M1x5pd1nDHz7LTRu7OzYcuKX68XGmM3Ax8AW4CugV7Ama7RbpPqHvXvtpkLOhReeWdDffhuaNIFOnQL3336fFXljTBVjzOFM90cZY640xlxtjPnSV59TUBKTE3ns88e49b1bTy+iverRVbzR+g1dRDvUVaiQMWWjQlp6ul1M/JNP7GLiMTF2XyAJ0uSn/+QUi7ylcoivI6aUOkNkpG2J0Lq1XUw8EOOWWuQz0VikypWoKLspBVx+OSxYYDtaZo5brlrl9Mgs7UJJ9t0iR7cYTdc6XbWZmPon7SevziIx0bZGiI21W0G1L9Z+8jnYeHAjXed31Vikyr1p05wegQpQpUvbi7EnTmQU+IQE2y7hueecWUw8ZIu8xiLVedOpGnUOF12Ucbt/f3jvPTudM2kStCvgEhOScxErd63k2qnXaixSKeV3Tz1lFxPfswfat7ddLgsybhlSRf5o8lG6zutKs+nN+C3xN2qUqaGxSJV38+fbTalc8C4mPmGCPcOfPbtg45YhceHVGMMnWz7h8S8f5+CJg7qItsofvfCqztPvv0PPnvDFF/b+mjVw/fX5f9+QvvD6x/E/6PlFTxZsXQDoItrKB9q0cXoEKkh545YffQSbNp1Z4NPS7OpUvubaIp+WnsbknyczePlg/jr1l8Yile/oVI3KBxHo3PnMfStX2uSNP9ajcWWR33hwI5HzI/lx748A3FP9Hl6/43WNRSqlAlJiol2Fyh9cVeT/Tv2bkV+PZPT3o0/HIie1nqRrrCqlAlqHDv57b9cU+ZW7VhI1P4rfEn9DEHrW68lLt72kqRnle3rhVQURVxT5YSuGMeKbEQDUKFODmLYx2kxMKaVwSZFvcFkDioQV4dlGzzKgwQCKXlDU6SEpN9MzeBVEXFHkb7/ydnY9sUsvrCqlVBauyRJqgVdKqX9yTZFXSin1T1rklVLKxbTIK6WUi2mRV0opF9Mir5RSLqZFXimlXEyLvFJKuVhALRoiIgnA706P4zxdAhx2ehAO0OMOLXrcgelyY0yZ7B4IqCIfzEQk9mwrs7iZHndo0eMOPjpdo5RSLqZFXimlXEyLvO9EOz0Ah+hxhxY97iCjc/JKKeVieiavlFIupkVeKaVcTIt8PojIGBH5RUQ2iMhnIlIq02ODRGSbiPwqIi0dHKbPiUhHEdksIukiUi/LY649bgARaeU5tm0iMtDp8fiTiLwtIodEZFOmfaVFZImI/Ob5ebGTY/Q1EaksIitEJN7z//gTnv1Be9xa5PNnCVDTGFMb2AoMAhCRGkBnIAJoBUwWkTDHRul7m4AOwDeZd7r9uD3HMgm4A6gB3O85Zrd6F/vnmNlAYJkxpiqwzHPfTVKBp4wx1YGbgF6eP+OgPW4t8vlgjFlsjEn13F0NVPLcbg/MMsacNMbsBLYB9Z0Yoz8YY+KNMb9m85Crjxt7LNuMMTuMMaeAWdhjdiVjzDdAYpbd7YHpntvTgbsKckz+ZozZb4xZ47n9PyAeqEgQH7cWed95FPjSc7si8Eemx/Z49rmd24/b7ceXG2WNMfvBFkTgUofH4zciUgW4HviRID5uVyzk7U8ishQol81DzxpjPvc851nsr3kzvS/L5vlBlVXNzXFn97Js9gXVcZ+D249PeYhIMeBT4EljzJ8i2f3RBwct8udgjLktp8dFpAvQBmhuMr50sAeonOlplYB9/hmhf5zruM8i6I/7HNx+fLlxUETKG2P2i0h54JDTA/I1ESmMLfAzjTFzPLuD9rh1uiYfRKQVMABoZ4xJyvTQPKCziBQVkSuAqsBPToyxgLn9uH8GqorIFSJSBHuReZ7DYypo84AunttdgLP9VheUxJ6yvwXEG2PGZXooaI9bv/GaDyKyDSgKHPHsWm2M6e557FnsPH0q9le+L7N/l+AjIncDrwNlgGPAOmNMS89jrj1uABFpDUwAwoC3jTGjnB2R/4jIh0BTbJvdg8AwYC7wMXAZsBvoaIzJenE2aIlIQ+BbYCOQ7tk9GDsvH5THrUVeKaVcTKdrlFLKxbTIK6WUi2mRV0opF9Mir5RSLqZFXimlXEyLvFJKuZgWeaWUcrH/B81vgv3QnSj4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(-25, 25)\n",
    "y = 2 * x\n",
    "plt.plot(x, y, c='g', linewidth = 2) # c ='g' or c ='green' \n",
    "plt.plot(x, -2 * x, c='b', linestyle='dashed', linewidth = 2) # c ='b' or c ='blue' \n",
    "plt.plot(np.zeros(100),  np.arange(-50, 50), c='r', linestyle='dotted', linewidth = 2) # c ='r' or c ='red' \n",
    "plt.plot(x,np.zeros(50), c='y', linestyle='dashdot', linewidth = 2) # c ='y' or c ='yellow' \n",
    "plt.title('X versus Y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(-25, 25)\n",
    "plt.plot(x, 2 * x, c='r', linewidth = 2) # c ='r' or c ='red' \n",
    "plt.plot(x, -2 * x, c='g', linestyle='dotted', linewidth=2) # c ='g' or c ='green' \n",
    "plt.plot(x, x ** 2, c='b', linestyle='dashed', linewidth=2) # c ='b' or c ='blue'\n",
    "plt.plot(x, -(x ** 2), c='y', linestyle='dashdot', linewidth=2) # c ='y' or c ='yellow' \n",
    "plt.title('X versus Y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Making Scatter Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temperature =  [\n",
    "14.2,\n",
    "16.4,\n",
    "11.9,\n",
    "15.2,\n",
    "18.5,\n",
    "22.1,\n",
    "19.4,\n",
    "25.1,\n",
    "23.4,\n",
    "18.1,\n",
    "22.6,\n",
    "17.2\n",
    "]\n",
    "sales = [\n",
    "215,\n",
    "325,\n",
    "185,\n",
    "332,\n",
    "406,\n",
    "522,\n",
    "412,\n",
    "614,\n",
    "544,\n",
    "421,\n",
    "445,\n",
    "408]\n",
    "plt.scatter(temperature, sales)\n",
    "plt.xlabel('Temperate(oC)')\n",
    "plt.ylabel('Sales($)')\n",
    "plt.title('Temperature versus Sales of Icecream')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Saving graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temperature =  [\n",
    "14.2,\n",
    "16.4,\n",
    "11.9,\n",
    "15.2,\n",
    "18.5,\n",
    "22.1,\n",
    "19.4,\n",
    "25.1,\n",
    "23.4,\n",
    "18.1,\n",
    "22.6,\n",
    "17.2\n",
    "]\n",
    "sales = [\n",
    "215,\n",
    "325,\n",
    "185,\n",
    "332,\n",
    "406,\n",
    "522,\n",
    "412,\n",
    "614,\n",
    "544,\n",
    "421,\n",
    "445,\n",
    "408]\n",
    "plt.scatter(temperature, sales)\n",
    "plt.xlabel('Temperate(oC)')\n",
    "plt.ylabel('Sales($)')\n",
    "plt.title('Temperature versus Sales of Icecream')\n",
    "plt.savefig('./Temperature versus Sales of Icecream')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Subplots\n",
    "The plt subplots() method takes three arguments that describes the layout of the figure. The layout is organized in rows and columns that are represented by the first and second argument.The third argument represents the index of the current plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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HHwDvA17Y5fjQOZjr/vkwV3O9lhxGfYc/CW/LMMw17HtV9VXghwOWXEsO5rpPmOubmOsAoy783V7Cfa1rbqZh5/u9JN9MspjkzrdmtE5dSw7mOj7M1VzfMMxbK9yIzt6W4SYaZr5vAL9dVT9Oci/wJTbfiXCcXEsO5jo+zNVc3zDqO/xJeJn3nvNV1X9X1Y+3Pv8K8LYkt711I3biWnIw1/Fhrub6hlEX/iS8LcOe15DkN5Jk6/O72Px3/cFbPumNuZYczHV8mKu5vmGkT+nU6N6W4S0z5DV8GPirJFeA/wHuq61fpe8XSZ5g868TbktyEfgU8Da49hzMdf8w16uZ6x7n3WfXKUkaEV9pK0mNsPAlqREWviQ1wsKXpEZY+JLUCAtfkhph4UtSI/4fdNYeExLVBAMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(1, 3, 1)\n",
    "plt.subplot(1, 3, 2)\n",
    "plt.subplot(1, 3, 3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAATPUlEQVR4nO3cb8icd53v8ffnJA24UUzZxGNJq9aSGuPuKbS3sRWPREWaFCEIeZAqWyhCqLbiQ4sPdGFZ0Gei9hiySxCfNCzH4omSniIrtV1q3NyRpDaVSsyivbddmqq0uIol9bsPZta5ub2TuTL3/Enn937BwFxz/Wau73yZ+czMNdf1S1UhSZp//2PWBUiSpsPAl6RGGPiS1AgDX5IaYeBLUiMMfElqxNDAT3I4yQtJnrrI+iT5SpKzSZ5McvP4y5QkrVWXb/jfAHZfYv0eYFv/cgD4+trLkiSN29DAr6rHgF9fYshe4JvVcxzYlOSacRUoSRqP9WN4jK3As8uWl/q3Pb9yYJID9H4FsHHjxlu2b98+hs1LUjtOnjz5YlVtGeW+4wj8rHLbqvM1VNUh4BDAwsJCLS4ujmHzktSOJL8Y9b7jOEpnCbhu2fK1wHNjeFxJ0hiNI/CPAnf1j9a5FXipqv5sd44kabaG7tJJ8iCwC9icZAn4AnAVQFUdBI4BdwBngd8Bd0+qWEnS6IYGflXdOWR9AfeOrSJJ0kR4pq0kNcLAl6RGGPiS1AgDX5IaYeBLUiMMfElqhIEvSY0w8CWpEQa+JDXCwJekRhj4ktQIA1+SGmHgS1IjDHxJaoSBL0mNMPAlqREGviQ1wsCXpEYY+JLUCANfkhph4EtSIwx8SWqEgS9JjegU+El2J3kmydkk96+yfleSl5Kc6l8+P/5SJUlrsX7YgCTrgAeADwNLwIkkR6vq6RVDH6+qj0ygRknSGHT5hr8TOFtV56rqFeAIsHeyZUmSxq1L4G8Fnl22vNS/baXbkpxO8nCSd632QEkOJFlMsnj+/PkRypUkjapL4GeV22rF8o+Bt1bVTcBXgW+v9kBVdaiqFqpqYcuWLZdVqCRpbboE/hJw3bLla4Hnlg+oqper6rf968eAq5JsHluVkqQ16xL4J4BtSa5PsgHYDxxdPiDJm5Okf31n/3F/Ne5iJUmjG3qUTlVdSHIf8AiwDjhcVWeS3NNffxDYB3wyyQXg98D+qlq520eSNEOZVS4vLCzU4uLiTLYtSa9VSU5W1cIo9/VMW0lqhIEvSY0w8CWpEQa+JDXCwJekRhj4ktQIA1+SGmHgS1IjDHxJaoSBL0mNMPAlqREGviQ1wsCXpEYY+JLUCANfkhph4EtSIwx8SWqEgS9JjTDwJakRBr4kNcLAl6RGGPiS1AgDX5Ia0Snwk+xO8kySs0nuX2V9knylv/7JJDePv1RJ0loMDfwk64AHgD3ADuDOJDtWDNsDbOtfDgBfH3OdkqQ16vINfydwtqrOVdUrwBFg74oxe4FvVs9xYFOSa8ZcqyRpDdZ3GLMVeHbZ8hLwng5jtgLPLx+U5AC9XwAAf0jy1GVVO782Ay/OuogrhL0YsBcD9mLgHaPesUvgZ5XbaoQxVNUh4BBAksWqWuiw/blnLwbsxYC9GLAXA0kWR71vl106S8B1y5avBZ4bYYwkaYa6BP4JYFuS65NsAPYDR1eMOQrc1T9a51bgpap6fuUDSZJmZ+gunaq6kOQ+4BFgHXC4qs4kuae//iBwDLgDOAv8Dri7w7YPjVz1/LEXA/ZiwF4M2IuBkXuRqj/b1S5JmkOeaStJjTDwJakREw98p2UY6NCLj/d78GSSJ5LcNIs6p2FYL5aNe3eSV5Psm2Z909SlF0l2JTmV5EySH0y7xmnp8B55Y5LvJDnd70WX/wtfc5IcTvLCxc5VGjk3q2piF3p/8v4ceDuwATgN7Fgx5g7gYXrH8t8K/GiSNc3q0rEX7wWu7l/f03Ivlo37Pr2DAvbNuu4Zvi42AU8Db+kvv2nWdc+wF58DvtS/vgX4NbBh1rVPoBfvB24GnrrI+pFys8tcOmv5pHFahoGhvaiqJ6rqN/3F4/TOZ5hHXV4XAJ8GvgW8MM3ipqxLLz4GPFRVvwSoqnntR5deFPCGJAFeTy/wL0y3zMmrqsfoPbeLGSk3u+zS+Qaw+xLrLzVx2sWmXOAyx8yDy32en6D3CT6PhvYiyVbgo8DBKdY1C11eFzcCVyd5NMnJJHdNrbrp6tKLrwHvpHdi50+Az1TVH6dT3hVlpNzschz+Y0nedokhf/qkAY4n2ZTkmuqdeDW2aRnmQOfnmeQD9AL/fROtaHa69OLLwGer6tXel7m51aUX64FbgA8BrwN+mOR4Vf1s0sVNWZde3A6cAj4I3AB8L8njVfXyhGu70oyUm52Ow+8H/ner6q9WWfdd4ItV9S/95X+m90ZdTHIb8LdVdXt/3UP0frb9x8aNG2/Zvn370G1LkgZOnjz5IvAQ8GhVPQiQ5BlgVw2Z4aDL5GnDXOqT5k/TMgD/Tu8T+faqOrOwsFCLiyPPASRJTUryC3rT2dyX5Ai92Ys7TWczjsMyLzpxWlVdAP57WoafAv9Uy6ZlkCSN5Bhwjt50Nv8AfKrLncYR+JecOK2qjlXVjVV1Q1X9ff+2ef8jTpImpn90zr39XP3rquq0u2ToLp0kDwK7gM1JloAvAFf1NzrqxGmSpCnrcpTOnUPWF3Dv2CqSJE2Ec+lIUiMMfElqhIEvSY0w8CWpEQa+JDXCwJekRhj4ktQIA1+SGmHgS1IjDHxJaoSBL0mNMPAlqREGviQ1wsCXpEYY+JLUCANfkhph4EtSIwx8SWqEgS9JjTDwJakRBr4kNcLAl6RGGPiS1IhOgZ9kd5JnkpxNcv8q63cleSnJqf7l8+MvVZK0FuuHDUiyDngA+DCwBJxIcrSqnl4x9PGq+sgEapQkjUGXb/g7gbNVda6qXgGOAHsnW5Ykady6BP5W4Nlly0v921a6LcnpJA8neddqD5TkQJLFJIvnz58foVxJ0qi6BH5Wua1WLP8YeGtV3QR8Ffj2ag9UVYeqaqGqFrZs2XJZhUqS1qZL4C8B1y1bvhZ4bvmAqnq5qn7bv34MuCrJ5rFVKUlasy6BfwLYluT6JBuA/cDR5QOSvDlJ+td39h/3V+MuVpI0uqFH6VTVhST3AY8A64DDVXUmyT399QeBfcAnk1wAfg/sr6qVu30kSTOUWeXywsJCLS4uzmTbkvRaleRkVS2Mcl/PtJWkRhj4ktQIA1+SGmHgS1IjDHxJaoSBL0mNMPAlqREGviQ1wsCXpEYY+JLUCANfkhph4EtSIwx8SWqEgS9JjTDwJakRBr4kNcLAl6RGGPiS1AgDX5IaYeBLUiMMfElqhIEvSY0w8CWpEZ0CP8nuJM8kOZvk/lXWJ8lX+uufTHLz+EuVJK3F0MBPsg54ANgD7ADuTLJjxbA9wLb+5QDw9THXKUlaoy7f8HcCZ6vqXFW9AhwB9q4Ysxf4ZvUcBzYluWbMtUqS1mB9hzFbgWeXLS8B7+kwZivw/PJBSQ7Q+wUA8IckT11WtfNrM/DirIu4QtiLAXsxYC8G3jHqHbsEfla5rUYYQ1UdAg4BJFmsqoUO25979mLAXgzYiwF7MZBkcdT7dtmlswRct2z5WuC5EcZIkmaoS+CfALYluT7JBmA/cHTFmKPAXf2jdW4FXqqq51c+kCRpdobu0qmqC0nuAx4B1gGHq+pMknv66w8Cx4A7gLPA74C7O2z70MhVzx97MWAvBuzFgL0YGLkXqfqzXe2SpDnkmbaS1AgDX5IaMfHAd1qGgQ69+Hi/B08meSLJTbOocxqG9WLZuHcneTXJvmnWN01depFkV5JTSc4k+cG0a5yWDu+RNyb5TpLT/V50+b/wNSfJ4SQvXOxcpZFzs6omdqH3J+/PgbcDG4DTwI4VY+4AHqZ3LP+twI8mWdOsLh178V7g6v71PS33Ytm479M7KGDfrOue4etiE/A08Jb+8ptmXfcMe/E54Ev961uAXwMbZl37BHrxfuBm4KmLrB8pN7vMpbOWTxqnZRgY2ouqeqKqftNfPE7vfIZ51OV1AfBp4FvAC9Msbsq69OJjwENV9UuAqprXfnTpRQFvSBLg9fQC/8J0y5y8qnqM3nO7mJFys8sunW8Auy+x/lITp11sygUuc8w8uNzn+Ql6n+DzaGgvkmwFPgocnGJds9DldXEjcHWSR5OcTHLX1Kqbri69+BrwTnondv4E+ExV/XE65V1RRsrNLsfhP5bkbZcY8qdPGuB4kk1JrqneiVdjm5ZhDnR+nkk+QC/w3zfRimanSy++DHy2ql7tfZmbW116sR64BfgQ8Drgh0mOV9XPJl3clHXpxe3AKeCDwA3A95I8XlUvT7i2K81IudnpOPx+4H+3qv5qlXXfBb5YVf/SX/5nem/UxSS3AX9bVbf31z1E72fbf2zcuPGW7du3D922JGng5MmTLwIPAY9W1YMASZ4BdtWQGQ66TJ42zKU+af40LQPw7/Q+kW+vqjMLCwu1uDjyHECS1KQkv6A3nc19SY7Qm72403Q24zgs86ITp1XVBeC/p2X4KfBPtWxaBknSSI4B5+hNZ/MPwKe63GkcgX/JidOq6lhV3VhVN1TV3/dvm/c/4iRpYvpH59zbz9W/rqpOu0uG7tJJ8iCwC9icZAn4AnBVf6OjTpwmSZqyLkfp3DlkfQH3jq0iSdJEOJeOJDXCwJekRhj4ktQIA1+SGmHgS1IjDHxJaoSBL0mNMPAlqREGviQ1wsCXpEYY+JLUCANfkhph4EtSIwx8SWqEgS9JjTDwJakRBr4kNcLAl6RGGPiS1AgDX5IaYeBLUiMMfElqhIEvSY3oFPhJdid5JsnZJPevsn5XkpeSnOpfPj/+UiVJa7F+2IAk64AHgA8DS8CJJEer6ukVQx+vqo9MoEZJ0hh0+Ya/EzhbVeeq6hXgCLB3smVJksatS+BvBZ5dtrzUv22l25KcTvJwknet9kBJDiRZTLJ4/vz5EcqVJI2qS+BnldtqxfKPgbdW1U3AV4Fvr/ZAVXWoqhaqamHLli2XVagkaW26BP4ScN2y5WuB55YPqKqXq+q3/evHgKuSbB5blZKkNesS+CeAbUmuT7IB2A8cXT4gyZuTpH99Z/9xfzXuYiVJoxt6lE5VXUhyH/AIsA44XFVnktzTX38Q2Ad8MskF4PfA/qpaudtHkjRDmVUuLyws1OLi4ky2LUmvVUlOVtXCKPf1TFtJaoSBL0mNMPAlqREGviQ1wsCXpEYY+JLUCANfkhph4EtSIwx8SWqEgS9JjTDwJakRBr4kNcLAl6RGGPiS1AgDX5IaYeBLUiMMfElqhIEvSY0w8CWpEQa+JDXCwJekRhj4ktQIA1+SGtEp8JPsTvJMkrNJ7l9lfZJ8pb/+ySQ3j79USdJaDA38JOuAB4A9wA7gziQ7VgzbA2zrXw4AXx9znZKkNeryDX8ncLaqzlXVK8ARYO+KMXuBb1bPcWBTkmvGXKskaQ3WdxizFXh22fIS8J4OY7YCzy8flOQAvV8AAH9I8tRlVTu/NgMvzrqIK4S9GLAXA/Zi4B2j3rFL4GeV22qEMVTVIeAQQJLFqlrosP25Zy8G7MWAvRiwFwNJFke9b5ddOkvAdcuWrwWeG2GMJGmGugT+CWBbkuuTbAD2A0dXjDkK3NU/WudW4KWqen7lA0mSZmfoLp2qupDkPuARYB1wuKrOJLmnv/4gcAy4AzgL/A64u8O2D41c9fyxFwP2YsBeDNiLgZF7kao/29UuSZpDnmkrSY0w8CWpERMPfKdlGOjQi4/3e/BkkieS3DSLOqdhWC+WjXt3kleT7JtmfdPUpRdJdiU5leRMkh9Mu8Zp6fAeeWOS7yQ53e9Fl/8LX3OSHE7ywsXOVRo5N6tqYhd6f/L+HHg7sAE4DexYMeYO4GF6x/LfCvxokjXN6tKxF+8Fru5f39NyL5aN+z69gwL2zbruGb4uNgFPA2/pL79p1nXPsBefA77Uv74F+DWwYda1T6AX7wduBp66yPqRcnPS3/CdlmFgaC+q6omq+k1/8Ti98xnmUZfXBcCngW8BL0yzuCnr0ouPAQ9V1S8Bqmpe+9GlFwW8IUmA19ML/AvTLXPyquoxes/tYkbKzUkH/sWmXLjcMfPgcp/nJ+h9gs+job1IshX4KHBwinXNQpfXxY3A1UkeTXIyyV1Tq266uvTia8A76Z3Y+RPgM1X1x+mUd0UZKTe7TK2wFmOblmEOdH6eST5AL/DfN9GKZqdLL74MfLaqXu19mZtbXXqxHrgF+BDwOuCHSY5X1c8mXdyUdenF7cAp4IPADcD3kjxeVS9PuLYrzUi5OenAd1qGgU7PM8n/Av4R2FNVv5pSbdPWpRcLwJF+2G8G7khyoaq+PZUKp6fre+TFqvpP4D+TPAbcBMxb4Hfpxd3AF6u3I/tskn8DtgP/Op0Srxgj5eakd+k4LcPA0F4keQvwEPA3c/jtbbmhvaiq66vqbVX1NuD/Ap+aw7CHbu+R/wf87yTrk/wFvdlqfzrlOqehSy9+Se+XDkn+J72ZI89Ntcorw0i5OdFv+DW5aRleczr24vPAXwL/p//N9kLN4QyBHXvRhC69qKqfJvn/wJPAH4F/rKq5m1q84+vi74BvJPkJvd0an62quZs2OcmDwC5gc5Il4AvAVbC23HRqBUlqhGfaSlIjDHxJaoSBL0mNMPAlqREGviQ1wsCXpEYY+JLUiP8Cuu8ZgwINGQgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(3, 1, 1)\n",
    "plt.subplot(3, 1, 2)\n",
    "plt.subplot(3, 1, 3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(2, 2, 1)\n",
    "plt.subplot(2, 2, 2)\n",
    "plt.subplot(2, 2, 3)\n",
    "plt.subplot(2, 2, 4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(2, 2, 1)\n",
    "x = np.linspace(-11, 11, 100)\n",
    "plt.plot(x, 2 * x)\n",
    "plt.subplot(2, 2, 2)\n",
    "plt.plot(x, -2 * x, c='r')\n",
    "plt.subplot(2, 2, 3)\n",
    "plt.plot(x, x ** 2, c='g')\n",
    "plt.subplot(2, 2, 4)\n",
    "plt.plot(x, x ** 3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bar Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np # numerica Python, NumPy\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "data = [20, 50, 60, 80, 10]\n",
    "x = [1, 2, 3, 4, 5]\n",
    "plt.bar(x, data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Changing the default bar color\n",
    "plt.bar has a color argument and passing a value will change the color of the bars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [20, 50, 60, 80, 10]\n",
    "x = [1, 2, 3, 4, 5]\n",
    "plt.bar(x, data, color='coral')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding transparncy to the bars\n",
    "\n",
    "The alpha argument takes a value from 0 to 1. The alpha value makes the bar transparent based on the "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [20, 50, 60, 80, 10]\n",
    "x = [1, 2, 3, 4, 5]\n",
    "plt.bar(x, data, color='coral', alpha = 0.45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding Grid to a bar graph\n",
    "The grid method add grid to the bar graph. It has color, linewidth, linestyle, alpha, axis parameter. \n",
    "It is possible to add a horizontal and vertical grid using the grid method. The grid method by default provides a horizontal and vertical grid. A horizontal or vertical grid is also possible by using the axis parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [20, 50, 60, 80, 10]\n",
    "x = [1, 2, 3, 4, 5]\n",
    "plt.bar(x, data, color='coral', alpha = 0.7)\n",
    "plt.grid(color='gray', alpha = 0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Horizontal Grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [20, 50, 60, 80, 10]\n",
    "x = [1, 2, 3, 4, 5]\n",
    "plt.bar(x, data, color='coral', alpha=0.7)\n",
    "plt.grid(color='gray', axis='y', alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vertical Grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [20, 50, 60, 80, 10]\n",
    "x = [1, 2, 3, 4, 5]\n",
    "plt.bar(x, data, color='coral', alpha=0.7)\n",
    "plt.grid(color='gray', axis='x', alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Grid Style\n",
    "The grid style could be broken lines, solid lines, dotted, stars, etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Gmf3d8m+7e9rMCsBXzOxzwCzwmafXpoiIPGzXAHf3vwE6HzG+DLzyNJoSEZHd6ZuYIiIhpQAXEQkpBbiISEgpwEVEQkoBLiISUgpwEZGQUoCLiISUAlxEJKQU4CIiIaUAFxEJKQW4iEhIKcBFREJKAS4iElIKcBGRkFKAi4iElAJcRCSkFOAiIiG15wA3s6iZ/bmZfbNc15vZe2Y2Vb7d8Yr0IiJysPbzDvwLwMQD9RvAFXdvB66UaxEROSR7CnAz+wTw88DvPzD8KnC5fP8y8NqBdiYiIjvay1XpAX4H+HWg5oGxF939BoC73zCzpketaGaXgEsALS0tpNNpADo6OqitraVQKADQ1NREV1cXQ0NDQWMVFaRSKfL5PCsrKwAkEgnm5+e5fv06AOfPn6eqqorR0VEAmpubicViZDIZACorK+nv7yeXy7G2tgZAMplkZmaG2dlZAGKxGNFolPHxcQDOnDlDe3s7IyMjAFRXV5NMJslms6yvrwPQ19fH1NQUc3NzAHR2dlIqlSgWiwCcPXuW1tZWstksADU1NSQSCYaHh9nc3AQglUpRLBZZWFgAoLu7m42NDSYmgv/ktLW10dLSQi6XA6Du9ja9pyJklkpsefDcXmiMMHbHWbwfDMRrI6xuOZM/DOpz1UbjMSO/sg1Aw3NGvC7C4M0SDhgw8EKUwso2yx8E6/TWRVi670yvB3XH80ZthVFYDbbRdMzoOmkMLQV1hUGqMUr+9jYr5cYSpyLM33OubwT1+RMRqiIwemcb0un9z9PNErGaCFFgfC3Y75njRnu1MXIrqKujRrI+QvbWNuulYL999RGm1p25e0HdWROhBBTL2zh73GitNrLlbdREjUR9hOHlEpvBEKmGCMW7zsJmsI3ukxE2tmHibrBAW5XRctzI3Q7qugrbeZ7SaeLxOKurq0xOTgbzdO4cjY2N5PP5YJ4aGojH4wwODuI3S0czT0BzpRE7YWSWg7oyAv0NUXK3tlkrP8fJ+ggz685s+TnecZ7S6Y/P66mujt7eXjKZDFtbW8E8XbjA2NgYi4uLAPubJ3fMjIGBAQqFAsvLy8E89faytLTE9PR0ME9PmHuPY+7+2AcBzOzTwM+5+781sz7gP7n7p81sxd3rHljutrvveB68p6fHr169uuP+5DHefuuoOzgYr7+5/3V+Uo4d9n/8z/Kxy4fM7Jq79zw8vpd34AngF8zs54DjwEkz+yPgB2Z2uvzu+zSweLAti4jITnY9B+7uv+Hun3D3VuCzwJ+6+y8B7wIXy4tdBN55al2KiMiP+SifA/8i8EkzmwI+Wa5FROSQ7PWXmAC4+wgwUr6/DLxy8C2JiMhe6JuYIiIhpQAXEQkpBbiISEgpwEVEQkoBLiISUgpwEZGQUoCLiISUAlxEJKQU4CIiIaUAFxEJKQW4iEhIKcBFREJKAS4iElIKcBGRkFKAi4iElAJcRCSkFOAiIiG1a4Cb2XEz+7aZjZvZd8zst8rj9Wb2nplNlW93vCK9iIgcrL28A98EftbdO4Eu4FNm1gu8AVxx93bgSrkWEZFDsper0ru73y2Xz5V/HHgVuFwevwy89jQaFBGRR9vTRY3NLApcA84Bv+fu75vZi+5+A8Ddb5hZ02PWvQRcAmhpaSGdTgPQ0dFBbW0thUIBgKamJrq6uhgaGgoaq6gglUqRz+dZWVkBIJFIMD8/z/Xr1wE4f/48VVVVjI6OAtDc3EwsFiOTyQBQWVlJf38/uVyOtbU1AJLJJDMzM8zOzgIQi8WIRqOMj48DcObMGdrb2xkZGQGgurqaZDJJNptlfX0dgL6+PqamppibmwOgs7OTUqlEsVgE4OzZs7S2tpLNZgGoqakhkUgwPDzM5uYmAKlUimKxyMLCAgDd3d1sbGwwMTEBQFtbGy0tLeRyOQDqbm/TeypCZqnElgfP7YXGCGN3nMX7wUC8NsLqljP5w6A+V200HjPyK9sANDxnxOsiDN4s4YABAy9EKaxss/xBsE5vXYSl+870elB3PG/UVhiF1WAbTceMrpPG0FJQVxikGqPkb2+zUm4scSrC/D3n+kZQnz8RoSoCo3e2IZ3e/zzdLBGriRAFxteC/Z45brRXGyO3gro6aiTrI2RvbbNeCvbbVx9hat2ZuxfUnTURSkCxvI2zx43WaiNb3kZN1EjURxheLrEZDJFqiFC86yxsBtvoPhlhYxsm7gYLtFUZLceN3O2grquwnecpnSYej7O6usrk5GQwT+fO0djYSD6fD+apoYF4PM7g4CB+s3Q08wQ0VxqxE0ZmOagrI9DfECV3a5u18nOcrI8ws+7Mlp/jHecpnf74vJ7q6ujt7SWTybC1tRXM04ULjI2Nsbi4CLC/eXLHzBgYGKBQKLC8vBzMU28vS0tLTE9PB/P0hLn3OObuj33wxxY2qwO+AXwe+Ja71z3w2G133/E8eE9Pj1+9enXP+5MHvP3WUXdwMF5/c//r/KQcO+z/+J/lY5cPmdk1d+95eHxfn0Jx9xVgBPgU8AMzO13e+Glg8aO3KSIie7WXT6G8UH7njZlVASngu8C7wMXyYheBd55SjyIi8gh7OQd+GrhcPg8eAb7i7t80sz8DvmJmnwNmgc88xT5FROQhuwa4u/8F8DOPGF8GXnkaTYmIyO70TUwRkZBSgIuIhJQCXEQkpBTgIiIhpQAXEQkpBbiISEgpwEVEQkoBLiISUgpwEZGQUoCLiISUAlxEJKQU4CIiIaUAFxEJKQW4iEhIKcBFREJKAS4iElIKcBGRkNrLNTF/ysyGzWzCzL5jZl8oj9eb2XtmNlW+3fGK9CIicrD28g58C/iP7n4e6AV+xcx+GngDuOLu7cCVci0iIodk1wB39xvuPlq+vwZMAGeAV4HL5cUuA689pR5FROQR9nJV+g+ZWSvBBY7fB1509xsQhLyZNT1mnUvAJYCWlhbS6TQAHR0d1NbWUigUAGhqaqKrq4uhoaGgsYoKUqkU+XyelZUV+N63SZyKMH/Pub7hAJw/EaEqAqN3tgForjRiJ4zMclBXRqC/IUru1jZrpWCdZH2EmXVn9l5Qx2oiRIHxtWCdM8eN9mpj5FZQV0eNZH2E7K1t1svb6KuPMLXuzJW30VkToQQUy9s4e9xorTay5W3URI1EfYTh5RKb28BLL5NKpSgWiywsLADQ3d3NxsYGExMTALS1tdHS0kIulwOg7vY2vaciZJZKbAW75UJjhLE7zuL9YCBeG2F1y5n8YVCfqzYajxn5laCPhueMeF2EwZslHDBg4IUohZVtlj8I1umti7B035leD+qO543aCqOwGmyj6ZjRddIYWgrqCoNUY5T87W1Wyo3tOE/pNM3NzcRiMTKZTDBPlZX09/eTy+VYW1sL5imZZGZmhtnZWbhZOpp5AlINEYp3nYXNYBvdJyNsbMPE3WCBtiqj5biRux3UdRW28zyl08TjcVZXV5mcnAzm6dw5GhsbyefzwTw1NBCPxxkcHMRvlo5mnngKr6d0murqapLJJNlslvX19WCe+vqYmppibm4umKfOTkqlEsViMZins2dpbW0lm80G81RTQyKRYHh4mM3NzWCe9vt6qqujt7eXTCbD1tZWME8XLjA2Nsbi4iLA/ubJHTNjYGCAQqHA8vJyME+9vSwtLTE9PR3M035zD0gkEjyOuftjH/yRBc1OAP8XeMvdv25mK+5e98Djt919x/PgPT09fvXq1T3t78e8/daTrfdx9Pqb+1/nJ+X4n+Vjh/0f/7N87PIhM7vm7j0Pj+/pUyhm9hzwNeCP3f3r5eEfmNnp8uOngcWDalZERHa3l0+hGPAHwIS7//YDD70LXCzfvwi8c/DtiYjI4+zlHHgC+GXgL81srDz2n4EvAl8xs88Bs8BnnkqHIiLySLsGuLt/i+D3XY/yysG2IyIie6VvYoqIhJQCXEQkpBTgIiIhpQAXEQkpBbiISEgpwEVEQkoBLiISUgpwEZGQUoCLiISUAlxEJKQU4CIiIaUAFxEJKQW4iEhIKcBFREJKAS4iElIKcBGRkFKAi4iE1F6uifmHZrZoZsUHxurN7D0zmyrf7ng1ehEROXh7eQf+P4BPPTT2BnDF3duBK+VaREQO0a4B7u5Z4NZDw68Cl8v3LwOvHWxbIiKym71clf5RXnT3GwDufsPMmh63oJldAi4BtLS0kE6nAejo6KC2tpZCoQBAU1MTXV1dDA0NBY1VVJBKpcjn86ysrMDNEolTEebvOdc3HIDzJyJURWD0zjYAzZVG7ISRWQ7qygj0N0TJ3dpmrRSsk6yPMLPuzN4L6lhNhCgwvhasc+a40V5tjNwK6uqokayPkL21zXp5G331EabWnbnyNjprIpSAYnkbZ48brdVGtryNmqiRqI8wvFxicxtIp0mlUhSLRRYWFgDo7u5mY2ODiYkJANra2mhpaSGXywFQd3ub3lMRMksltoLdcqExwtgdZ/F+MBCvjbC65Uz+MKjPVRuNx4z8StBHw3NGvC7C4M0STnCl6oEXohRWtln+IFinty7C0n1nej2oO543aiuMwmqwjaZjRtdJY2gpqCsMUo1R8re3WSk3tuM8pdM0NzcTi8XIZDLBPFVW0t/fTy6XY21tLZinZJKZmRlmZ2fhZulo5glINUQo3nUWNoNtdJ+MsLENE3eDBdqqjJbjRu52UNdV2M7zlE4Tj8dZXV1lcnIymKdz52hsbCSfzwfz1NBAPB5ncHAQv1k6mnniKbye0mmqq6tJJpNks1nW19eDeerrY2pqirm5uWCeOjsplUoUi0X43rePZp54Cq+nl17ef+4BiUSCxzF3f+yDHy5k1gp8091j5XrF3eseePy2u+96Hrynp8evXr266/4e6e23nmy9j6PX39z/Oj8px/8sHzvs//if5WMHHX+ZmV1z956Hx5/0Uyg/MLPT5Q2fBhafuDMREXkiTxrg7wIXy/cvAu8cTDsiIrJXe/kY4ZeBPwNeMrPvm9nngC8CnzSzKeCT5VpERA7Rrr/EdPdffMxDrxxwLyIisg/6JqaISEgpwEVEQkoBLiISUgpwEZGQUoCLiISUAlxEJKQU4CIiIaUAFxEJKQW4iEhIKcBFREJKAS4iElIKcBGRkFKAi4iElAJcRCSkFOAiIiGlABcRCSkFuIhISH2kADezT5nZ98xs2szeOKimRERkd08c4GYWBX4P+OfATwO/aGY/fVCNiYjIzj7KO/CXgWl3/xt3vw/8CfDqwbQlIiK7MXd/shXN/gXwKXf/N+X6l4F/4u6/+tByl4BL5fIl4HtP3u6haASWjrqJI6Jjf3Y9y8cfhmP/B+7+wsODu16Vfgf2iLEf+9fA3b8EfOkj7OdQmdlVd+856j6Ogo792Tx2eLaPP8zH/lFOoXwf+KkH6k8A8x+tHRER2auPEuAFoN3M2szsGPBZ4N2DaUtERHbzxKdQ3H3LzH4VGASiwB+6+3cOrLOjE5rTPU+Bjv3Z9Swff2iP/Yl/iSkiIkdL38QUEQkpBbiISEgpwAEz+0MzWzSz4lH3chTM7KfMbNjMJszsO2b2haPu6bCY2XEz+7aZjZeP/beOuqfDZmZRM/tzM/vmUfdy2Mxsxsz+0szGzOzqUfezXzoHDphZErgL/E93jx11P4fNzE4Dp9191MxqgGvAa+7+V0fc2lNnZgY87+53zew54FvAF9w9f8StHRoz+w9AD3DS3T991P0cJjObAXrc/eP+RZ5H0jtwwN2zwK2j7uOouPsNdx8t318DJoAzR9vV4fDA3XL5XPnnmXlXY2afAH4e+P2j7kX2TwEuP8LMWoGfAd4/4lYOTfkUwhiwCLzn7s/MsQO/A/w6sH3EfRwVB4bM7Fr5z36EigJcPmRmJ4CvAb/m7neOup/D4u4ld+8i+Dbxy2b2TJxGM7NPA4vufu2oezlCCXfvJvirqr9SPp0aGgpwAaB8/vdrwB+7+9ePup+j4O4rwAjwqaPt5NAkgF8onwf+E+BnzeyPjralw+Xu8+XbReAbBH9lNTQU4PJ3v8j7A2DC3X/7qPs5TGb2gpnVle9XASngu0fa1CFx999w90+4eyvBn8L4U3f/pSNu69CY2fPlX9pjZs8DF4BQfRJNAQ6Y2ZeBPwNeMrPvm9nnjrqnQ5YAfpngHdhY+efnjrqpQ3IaGDazvyD4+z7vufsz93G6Z9SLwLfMbBz4NvB/3D19xD3tiz5GKCISUnoHLiISUgpwEZGQUoCLiISUAlxEJKQU4CIiIaUAFxEJKQW4iEhI/X8WQORn40wW1QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [20, 50, 60, 80, 10]\n",
    "x = [1, 2, 3, 4, 5]\n",
    "plt.bar(x, data, color='coral', alpha=0.7)\n",
    "plt.grid(color='gray', linestyle='dashed', axis='y', alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding line widht to the grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [20, 50, 60, 80, 10]\n",
    "x = [1, 2, 3, 4, 5]\n",
    "plt.bar(x, data, color='coral', alpha=0.7)\n",
    "plt.grid(color='gray', linewidth = 2, linestyle='--', axis='y', alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding Labels to the Bar Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [20, 50, 60, 80, 10]\n",
    "x = [1, 2, 3, 4, 5]\n",
    "plt.bar(x, data, color='coral', alpha=0.7)\n",
    "plt.grid(color='gray', linewidth = 1, linestyle='--', axis='y', alpha=0.7)\n",
    "plt.xlabel('X Axis')\n",
    "plt.ylabel('X Axis')\n",
    "plt.title('Title of the Bar graph')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multiple Bar graphs on one canvas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1 = np.random.randint(0, 100, size=5)\n",
    "data2 = np.random.randint(0, 100, size=5)\n",
    "data3 = np.random.randint(0, 100, size=5)\n",
    "width = 0.25\n",
    "plt.bar([1, 2, 3, 4, 5], data1,  width = width)\n",
    "plt.bar(np.array([1, 2, 3, 4, 5]) + width, data2, width = width)\n",
    "plt.bar(np.array([1, 2, 3, 4, 5]) + width * 2, data3, width = width, color = ['#7be382','#eedc82', '#cd5c5c'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Stacked Bar graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1 = np.random.randint(0, 100, size=5)\n",
    "data2 = np.random.randint(0, 100, size=5)\n",
    "data3 = np.random.randint(0, 100, size=5)\n",
    "width = 0.25\n",
    "plt.bar([1, 2, 3, 4, 5], data1)\n",
    "plt.bar(np.array([1, 2, 3, 4, 5]), data2)\n",
    "plt.bar(np.array([1, 2, 3, 4, 5]), data3, color = ['#7be382','#eedc82', '#cd5c5c'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histograph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Uniform Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.random.uniform(25, 10, 500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(x)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  8.,  33.,  97., 187., 248., 225., 145.,  41.,  14.,   2.]),\n",
       " array([-3.90874752,  2.32337429,  8.5554961 , 14.7876179 , 21.01973971,\n",
       "        27.25186152, 33.48398332, 39.71610513, 45.94822694, 52.18034875,\n",
       "        58.41247055]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.normal(25, 10, 1000)\n",
    "plt.hist(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
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