{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Map Filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "l = ['1','2','3','4','5','6']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4, 5, 6]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(map(int,l))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 4, 9, 16, 25, 36]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(map(lambda x:x**2,map(int,l)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4, 5, 6]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def sq(x):\n",
    "    return x**2\n",
    "\n",
    "def cube(x):\n",
    "    return x**3\n",
    "\n",
    "func = [sq, cube]\n",
    "l1 = list(map(int,l))\n",
    "\n",
    "l1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 1]\n",
      "[4, 8]\n",
      "[9, 27]\n",
      "[16, 64]\n",
      "[25, 125]\n",
      "[36, 216]\n"
     ]
    }
   ],
   "source": [
    "for i in l1:\n",
    "    val = list(map(lambda x:x(i),func))\n",
    "    print(val)\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'x': 1, 'y': 2}, {'x': 1, 'y': 4}]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = [{\n",
    "    \"x\" : 1,\n",
    "    \"y\" : 2\n",
    "},{\n",
    "    \"x\" : 1,\n",
    "    \"y\" : 4\n",
    "},{\n",
    "    \"x\" : 2,\n",
    "    \"y\" : 1\n",
    "}]\n",
    "\n",
    "def filter_x_1(a):\n",
    "    return a[\"x\"] == 1\n",
    "\n",
    "list(filter(filter_x_1,d))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from functools import reduce \n",
    "\n",
    "\n",
    "a = [1,2,4,5,6,7]\n",
    "\n",
    "mul = reduce(lambda x,y: x+y, a)\n",
    "mul"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}