python_reference/other/happy_mothers_day.ipynb

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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[Sebastian Raschka](http://sebastianraschka.com)  \n",
      "last updated: 05/11/2014\n",
      "\n",
      "- Link to [this IPython Notebook](https://github.com/rasbt/python_reference/blob/master/funstuff/happy_mothers_day.ipynb) on GitHub\n",
      "- Link to the [GitHub repository](https://github.com/rasbt/python_reference)"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<br>\n",
      "<br>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Happy Mother's Day!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x = np.arange(-1,1.001,0.001)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "y1 = (x**2)**(1.0/3) + np.sqrt(1-x**2)\n",
      "y2 = (x**2)**(1.0/3) - np.sqrt(1-x**2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import matplotlib.pyplot as plt\n",
      "\n",
      "plt.rcParams.update({'font.size': 12})\n",
      "fig = plt.figure(figsize=(8,8))\n",
      "plt.plot(x, y1, lw=15, color='r')\n",
      "plt.plot(x, y2, lw=15, color='r')\n",
      "plt.xlim(-1.2, 1.2)\n",
      "plt.title(\"Happy Mother's Day\")\n",
      "\n",
      "ftext = 'x = np.arange(-1,1.001,0.001)'\\\n",
      "        '\\ny1 = (x**2)**(1.0/3) + np.sqrt(1-x**2) '\\\n",
      "        '\\ny2 = (x**2)**(1.0/3) - np.sqrt(1-x**2)'\\\n",
      "        '\\n\\n\\n[inspired by a MATLAB impl. by TU Delft]'\n",
      "plt.figtext(.32,.45, ftext, fontsize=11, ha='left')\n",
      "\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
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       "text": [
        "<matplotlib.figure.Figure at 0x105422790>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[Source: Equation was adopted from a [MATLAB implementation](https://twitter.com/tudelft/status/465500616891330561/photo/1) by researches from Delft University of Technology]"
     ]
    }
   ],
   "metadata": {}
  }
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}