Untitled.ipynb

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     "text": [
      "   Color      Shape  Price\n",
      "0  Green  Rectangle     10\n",
      "1  Green  Rectangle     15\n",
      "2  Green     Square      5\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "boxes = {'Color': ['Green','Green','Green','Blue','Blue','Red','Red','Red'],\n",
    "         'Shape': ['Rectangle','Rectangle','Square','Rectangle','Square','Square','Square','Rectangle'],\n",
    "         'Price': [10,15,5,5,10,15,15,5]\n",
    "        }\n",
    "\n",
    "df = pd.DataFrame(boxes, columns= ['Color','Shape','Price'])\n",
    "\n",
    "select_color = df.loc[df['Color'] == 'Green']\n",
    "print (select_color)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Urls:  My Profile: http in the portal of http\n"
     ]
    }
   ],
   "source": [
    "# Python code to find the URL from an input string \n",
    "# Using the regular expression \n",
    "import re \n",
    "\n",
    "def replace_url(string): \n",
    "\n",
    "    # findall() has been used \n",
    "    # with valid conditions for urls in string \n",
    "    regex = r\"(?i)\\b((?:https?://|www\\d{0,3}[.]|[a-z0-9.\\-]+[.][a-z]{2,4}/)(?:[^\\s()<>]+|\\(([^\\s()<>]+|(\\([^\\s()<>]+\\)))*\\))+(?:\\(([^\\s()<>]+|(\\([^\\s()<>]+\\)))*\\)|[^\\s`!()\\[\\]{};:'\\\".,<>?«»“”‘’]))\"\n",
    "    str2 = re.sub(regex,'http',string)\t \n",
    "    return str2 \n",
    "\n",
    "# Driver Code \n",
    "string = 'My Profile: https://auth.geeksforgeeks.org/user/Chinmoy%20Lenka/articles in the portal of http://www.geeksforgeeks.org/'\n",
    "print(\"Urls: \", Find(string)) \n"
   ]
  },
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4]"
      ]
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     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "x = [1,2,3,4,5,6]\n",
    "x[:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "lis = [{'a':10,'b':20},{'c': 30,'d':40}]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
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     "execution_count": 4,
     "metadata": {},
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   "source": [
    "lis[1]['c']"
   ]
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  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9.9e-07"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "round(9.885678363216412e-07,8)"
   ]
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   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "ch = {'a':5}"
   ]
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   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a': 5}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "ch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "ch['a'] = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a': 10}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "ch"
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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