8. Plotting.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting\n",
    "\n",
    "There are multiple ways to create a plot in Julia, we can use packages other languages(like PyPlot). Or we can use packages available in Julia itself.\n",
    "\n",
    "Let's start by using `Plots.jl`.\n",
    "\n",
    "We first need to install `Plots`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Pkg.add(\"Plots\")\n",
    "using Plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Plots.jl` allows you to seemlessly change backend. Here we'll try out the `gr()` and  `unicodeplots()`  backends.\n",
    "\n",
    "Let's generate some dummy data to plot!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21-element Array{Float64,1}:\n",
       " -27.0\n",
       " -19.683000000000003\n",
       " -13.824\n",
       "  -9.261000000000001\n",
       "  -5.832000000000001\n",
       "  -3.375\n",
       "  -1.728\n",
       "  -0.7290000000000001\n",
       "  -0.216\n",
       "  -0.027\n",
       "   0.0\n",
       "   0.027\n",
       "   0.216\n",
       "   0.7290000000000001\n",
       "   1.728\n",
       "   3.375\n",
       "   5.832000000000001\n",
       "   9.261000000000001\n",
       "  13.824\n",
       "  19.683000000000003\n",
       "  27.0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = -3:0.3:3\n",
    "cubes(n) = n^3\n",
    "\n",
    "y = cubes.(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's use GR backend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Plots.GRBackend()"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(x, y, label=\"line\" )\n",
    "scatter!(x, y, label=\"points\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You may have noticed here `scatter` is followed by a `!` sign that is because we modifying the existing plot instead of creating a new one. Try playing around with the `!` sign to get a better understanding."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can use any other backend instead of `g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Plots.UnicodePlotsBackend()"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unicodeplots()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "          +------------------------------------------------------------+       \n",
       "    28.62 |                              |                           , | line  \n",
       "          |                              |                         ./  | points\n",
       "          |                              |                        ./   |       \n",
       "          |                              |                       .`    |       \n",
       "          |                              |                     ./      |       \n",
       "          |                              |                    ./       |       \n",
       "          |                              |                  _/`        |       \n",
       "          |                              |               ../           |       \n",
       "          |                              |            _./\"             |       \n",
       "          |                              L________--/\"                 |       \n",
       "          |\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"==}TT\"\"\"\"\"\"\"\"\"|\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"|       \n",
       "          |             .r/`             |                             |       \n",
       "          |          ../`                |                             |       \n",
       "          |         .`                   |                             |       \n",
       "          |       ./                     |                             |       \n",
       "          |     ./                       |                             |       \n",
       "          |    ./                        |                             |       \n",
       "          |   .`                         |                             |       \n",
       "          |  .`                          |                             |       \n",
       "   -28.62 | \\`                           |                             |       \n",
       "          +------------------------------------------------------------+       \n",
       "          -3.18                                                     3.18"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(x, y, label=\"line\" )\n",
    "scatter!(x, y, label=\"points\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Plots.GRBackend()"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can experiment with different types of plots. Click [here](https://docs.juliaplots.org/) for official documentation. Here is another cool one:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
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     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "heatmap(randn(10,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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