pattern testing-Copy1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import re\n",
    "import pandas as pd    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'pd' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-a145d7f44382>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mt_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"titanic_data2.csv\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'pd' is not defined"
     ]
    }
   ],
   "source": [
    "t_data = pd.read_csv(\"titanic_data2.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "esto es un array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pattern=r\"[A-Z]\"\n",
    "\n",
    "if re.match(pattern,\"Beata\"):\n",
    " print(\"match\")\n",
    "else:\n",
    " print(\"no match\")\n",
    "\n",
    "if re.match(pattern,\"Becta\"):\n",
    " print(\"match\")\n",
    "else:\n",
    " print(\"no match\")\n",
    "\n",
    "if re.match(pattern,\"bemaa\"):\n",
    " print(\"match\")\n",
    "else:\n",
    " print(\"no match\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pattern = r\"([\\w\\.-]+)@([\\w\\.-]+)(\\.[\\w\\.]+)\"\n",
    "str=\"Please contact info@sololearn.com for assistance\"\n",
    "\n",
    "match=re.search(pattern,str)\n",
    "if match:\n",
    "    print(match.group())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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