yong27/clock_angle_chart.ipynb

## clock_angle_chart.ipynb
{
 "metadata": {
  "name": "Clock angle"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "I wanted to see the graph of the clock angle. Below is the \"clock_angle\" function."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from math import pi, degrees\n",
      "\n",
      "def get_hour_angle(hour, minute=0):\n",
      "    angle = (hour / 6.) * pi\n",
      "    minute_angle = get_minute_angle(minute) / 12\n",
      "    return angle + minute_angle\n",
      "\n",
      "def get_minute_angle(minute):\n",
      "    angle = (minute / 30.) * pi\n",
      "    return angle\n",
      "\n",
      "def clock_angle(minute):\n",
      "    hour, minute = (minute / 60, minute % 60)\n",
      "    angle = abs(get_hour_angle(hour, minute) - get_minute_angle(minute))\n",
      "    if angle > pi:\n",
      "        angle = 2 * pi - angle\n",
      "    return angle"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "It's a test for clock_angle."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import unittest\n",
      "\n",
      "class ClockAngleTest(unittest.TestCase):\n",
      "    def test_get_hour_angle(self):\n",
      "        self.assertEqual(get_hour_angle(0), 0)\n",
      "        self.assertEqual(get_hour_angle(3), pi/2)\n",
      "        self.assertEqual(get_hour_angle(6), pi)\n",
      "        self.assertEqual(get_hour_angle(12), 2 * pi)\n",
      "        self.assertEqual(get_hour_angle(18), pi)\n",
      "\n",
      "    def test_get_minute_angle(self):\n",
      "        self.assertEqual(get_minute_angle(0), 0)\n",
      "        self.assertEqual(get_minute_angle(30), pi)\n",
      "\n",
      "    def test_get_clock_angle(self):\n",
      "        self.assertEqual(clock_angle(0), 0)\n",
      "        self.assertEqual(clock_angle(360), pi)\n",
      "        self.assertEqual(clock_angle(180), pi/2)\n",
      "        self.assertEqual(clock_angle(210), pi - (pi/2) - (pi/12))\n",
      "        self.assertEqual(round(degrees(clock_angle(140))), 50)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "minutes = arange(720) # 12 hours\n",
      "angles = map(clock_angle, minutes)\n",
      "plot(minutes, angles)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "[<matplotlib.lines.Line2D at 0x107129fd0>]"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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MOog8t50J8HZTy6ncdCi3g0lREZ9LHBmx/zcjI8CiRc7qpwiFleC9+Ol+I95N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\n8EZGRkYh1f8DblgrpFVsavEAAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "I thought it may be a kind of sin curve. but it's not."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}