card.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import random as random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def card():\n",
    "    pack ={}   #empty dictionary\n",
    "    x=[]      # empty list for card\n",
    "    y=[]      # empty list for shape\n",
    "    z=[]      # empty list for color\n",
    "    for i in range(3): # for 3 card \n",
    "        cd = random.choice(['A','2','3','4','5','6','7','8','9','10','J','Q','K'])\n",
    "        x.append(cd)\n",
    "        s = random.choice(['Diamond', 'Spade', 'Club','Heart'])\n",
    "        y.append(s)\n",
    "        if(s=='Diamond' or s=='Heart'):\n",
    "            c='Red'\n",
    "        else:\n",
    "            c='Black'  \n",
    "        z.append(c)    \n",
    "    pack.update({'Card':x,'Shape':y,'Color':z})\n",
    "    return pack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Card': ['4', 'K', 'Q'],\n",
       " 'Shape': ['Diamond', 'Spade', 'Spade'],\n",
       " 'Color': ['Red', 'Black', 'Black']}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=card()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Card</th>\n",
       "      <th>Shape</th>\n",
       "      <th>Color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>Diamond</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>K</td>\n",
       "      <td>Spade</td>\n",
       "      <td>Black</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Q</td>\n",
       "      <td>Spade</td>\n",
       "      <td>Black</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Card    Shape  Color\n",
       "0    4  Diamond    Red\n",
       "1    K    Spade  Black\n",
       "2    Q    Spade  Black"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF=pd.DataFrame(data)\n",
    "DF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'K'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF.Card[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Spade'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF.Shape[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Red'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF.Color[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "you win Rs 50\n"
     ]
    }
   ],
   "source": [
    "if(DF.Card[0]==DF.Card[1] and DF.Card[1]==DF.Card[2]): #3 same card\n",
    "    if(DF.Card[0]=='A'):\n",
    "        print('Congratulation! You win Rs 800')\n",
    "    elif(DF.Card[0]=='K'):\n",
    "        print('Congratulation! You win Rs 700')\n",
    "    else:\n",
    "        print('You win Rs 600')\n",
    "        \n",
    "elif(DF.Shape[0]==DF.Shape[1] and DF.Shape[1]==DF.Shape[2]): #3 same shape\n",
    "    print('You win Rs 500')\n",
    "    \n",
    "elif(DF.Card[0]==DF.Card[1] or DF.Card[1]==DF.Card[2] or DF.Card[0]==DF.Card[2]):#2 same card\n",
    "    if(DF.Shape[0]==DF.Shape[1] and DF.Shape[1]==DF.Shape[2]): #3 same shape\n",
    "        print('You win Rs 300')\n",
    "    elif(DF.Shape[0]==DF.Shape[1] or DF.Shape[1]==DF.Shape[2] or DF.Shape[0]==DF.Shape[2]):# 2 same shape\n",
    "        print('You win Rs 200')\n",
    "    else:\n",
    "        print('you win Rs 100')  \n",
    "        \n",
    "elif(DF.Shape[0]==DF.Shape[1] or DF.Shape[1]==DF.Shape[2] or DF.Shape[0]==DF.Shape[2]):# 2 same shape\n",
    "    if(DF.Color[0]==DF.Color[1] and DF.Color[1]==DF.Color[2]): # 3 same color \n",
    "        print('You win Rs 80')\n",
    "    else:\n",
    "        print('you win Rs 50') \n",
    "        \n",
    "elif(DF.Color[0]==DF.Color[1] and DF.Color[1]==DF.Color[2]): # 3 same color \n",
    "    print('You win Rs 20')        \n",
    "else:\n",
    "    print('you loss Rs 100')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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