{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's make a class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Point(object):\n",
    "   def __init__(self,x=0,y=0):\u000b",
    "     \n",
    "        self.x_coord = x\u000b",
    "     \n",
    "        self.y_coord = y\u000b",
    "\u000b",
    " \n",
    "   def translate(self,x=0,y=0):\u000b",
    "     \n",
    "        self.x_coord += x\u000b",
    "     \n",
    "        self.y_coord += y\u000b",
    "\n",
    "   def print_point(self):\u000b",
    "     \n",
    "        print(\"({:d},{:d})\".format(self.x_coord, self.y_coord))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XOAFW1V+JyEhMUrcZtljjcBHZXVXvrnIt5jrCKjYtL6JoZ3DvxCKQrLewd0Bc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\nrO46W1Uf8clqoSMD0fLuNodxaaCIHA7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1PVp22WV4r4ceGnUisL9/QLSWjwVk7w+cARwR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K6G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\n",
      "text/plain": [
       "<IPython.core.display.Image at 0x103713590>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename=\"images/point1.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class '__main__.Point'>\n"
     ]
    }
   ],
   "source": [
    "point_instance = Point()\n",
    "print(type(point_instance))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What is the constructor called? Same name as the class, `Point`. What type is an instance of `Point`? It is of type `Point`. The class is a **new type** and every instance of the class is of the class `Point`.\n",
    "\n",
    "We create classes, new types, that are convenient for solving problems, **our** problems and perhaps problems that other people we know share. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The `dir` function\n",
    "The `dir` function can be used to list \"stuff in a class instance\". What is in a `Point` instance?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['__class__', '__delattr__', '__dict__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'print_point', 'translate', 'x_coord', 'y_coord']\n"
     ]
    }
   ],
   "source": [
    "print(dir(point_instance))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A lot of stuff! Many of the \"things\" have weird names, beginning and ending with two underline characters, such as `__str__` or `__init__`. Others are names we recognize from the class definition, such as `print_point`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating Data Attributes in Instances\n",
    "For *user defined* classes, you can add a new data attribute to an instance by simple assignment using \"dot assignment\" to an instance. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "point_instance 'stuff': ['__class__', '__delattr__', '__dict__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'print_point', 'translate', 'x_coord', 'y_coord']\n",
      "my_point 'stuff': ['__class__', '__delattr__', '__dict__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'new_attribute', 'print_point', 'translate', 'x_coord', 'y_coord']\n"
     ]
    }
   ],
   "source": [
    "my_point = Point(x=10, y=10)\n",
    "my_point.new_attribute = 1000\n",
    "print(\"point_instance 'stuff':\",dir(point_instance))\n",
    "print(\"my_point 'stuff':\",dir(my_point))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can see that `new_attribute` is now a part of `my_point`, created when we did the assignment. It is not part of `point_instance` even though they are both of type `Point`. \n",
    "\n",
    "Just like assignment can create a variable, assignment can create an attribute **inside** an instance, any instance that is of a user defined type. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calling a Method, a Functional Attribute\n",
    "A **method** is a function that is particular to a particular type. Some of its attributes:\n",
    "\n",
    "- A method is called using the \"dot\" call, in the context of a particular instance\n",
    "- A method can only be used on an instance of the correct type.\n",
    "- We define methods in a class so that all instances of the class have access to that method"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Some Examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'list'>\n",
      "30\n",
      "['__add__', '__class__', '__contains__', '__delattr__', '__delitem__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__gt__', '__hash__', '__iadd__', '__imul__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__reversed__', '__rmul__', '__setattr__', '__setitem__', '__sizeof__', '__str__', '__subclasshook__', 'append', 'count', 'extend', 'index', 'insert', 'pop', 'remove', 'reverse', 'sort']\n"
     ]
    }
   ],
   "source": [
    "my_list = [10,20,30]\n",
    "print(type(my_list))    # it is of type list\n",
    "print(my_list.pop())    # call the pop method on the list instance my_list\n",
    "print(dir(my_list))     # these are the methods we can call"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'list' object has no attribute 'upper'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-8-914fa4c5e1e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmy_list\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m         \u001b[0;31m# can't do that, only strings have an upper method\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'upper'"
     ]
    }
   ],
   "source": [
    "my_list.upper()         # can't do that, only strings have an upper method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# remember our Point class\n",
    "class Point(object):\n",
    "   def __init__(self,x=0,y=0):\u000b",
    "     \n",
    "        self.x_coord = x\u000b",
    "     \n",
    "        self.y_coord = y\u000b",
    "\u000b",
    " \n",
    "   def translate(self,x=0,y=0):\u000b",
    "     \n",
    "        self.x_coord += x\u000b",
    "     \n",
    "        self.y_coord += y\u000b",
    "\n",
    "   def print_point(self):\u000b",
    "     \n",
    "        print(\"({:d},{:d})\".format(self.x_coord, self.y_coord))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['__class__', '__delattr__', '__dict__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'new_attribute', 'print_point', 'translate', 'x_coord', 'y_coord']\n"
     ]
    }
   ],
   "source": [
    "print(dir(my_point))      # what methods are in our class?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10,10)\n"
     ]
    }
   ],
   "source": [
    "my_point.print_point()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'list' object has no attribute 'print_point'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-11-fa659ed1cde2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmy_list\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_point\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m    \u001b[0;31m# a method of type Point, not list\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'print_point'"
     ]
    }
   ],
   "source": [
    "my_list.print_point()    # a method of type Point, not list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'Point' object has no attribute 'pop'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-12-5f2242896a05>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmy_point\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m: 'Point' object has no attribute 'pop'"
     ]
    }
   ],
   "source": [
    "my_point.pop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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