9.10 String Object Methods.ipynb

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   "source": [
    "<center><em>Copyright! This material is protected, please do not copy or distribute.    by:Taher Assaf</em></center>"
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    "***\n",
    "<h1 align=\"center\">Udemy course : Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn</h1> \n",
    "\n",
    "***"
   ]
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   "source": [
    "## 9.10 String Object Methods"
   ]
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   "source": [
    "First we import pandas library:"
   ]
  },
  {
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   "source": [
    "import pandas as np"
   ]
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   "source": [
    "As an example lets create this string object:"
   ]
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   "outputs": [],
   "source": [
    "text1 = 'jone, sam, jake'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can split this text into words by using the comma as a separator, using the function **split()**:"
   ]
  },
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   "execution_count": 3,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "['jone', ' sam', ' jake']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text1.split(',')"
   ]
  },
  {
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   "source": [
    "We can delete the white space when splitting a text using the function **stirp()**, to strip each word, we used here a loop comprehension:"
   ]
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   "execution_count": 4,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "['jone', 'sam', 'jake']"
      ]
     },
     "execution_count": 4,
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   ],
   "source": [
    "words = [x.strip() for x in text1.split(',')]\n",
    "words"
   ]
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   "source": [
    "For another example, we create here another text:"
   ]
  },
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   "execution_count": 5,
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   "outputs": [],
   "source": [
    "text2 = 'Sam will go to the school today'"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "We can split this text into words by using the **space** as a separator, using the function **split()**:"
   ]
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   "execution_count": 6,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Sam', 'will', 'go', 'to', 'the', 'school', 'today']"
      ]
     },
     "execution_count": 6,
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   ],
   "source": [
    "text2.split(' ')"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "We can also join text objects to create a special phrase."
   ]
  },
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   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "hide_input": false
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   "outputs": [],
   "source": [
    "text3 = ['sam', 'yahoo.com']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "hide_input": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'sam@yahoo.com'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'@'.join(text3)"
   ]
  },
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   "source": [
    "We can search for a string in a text using the keyword **in**:"
   ]
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       "True"
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     "execution_count": 9,
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   "source": [
    "'school' in text2"
   ]
  },
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   "source": [
    "We can locate the index of a substring in a text, using th function **index()**:"
   ]
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   "execution_count": 10,
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       "19"
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   "source": [
    "text2.index('school')"
   ]
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   "source": [
    "Similarly the function **find** can be used as well to locate a substring:"
   ]
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   "execution_count": 11,
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       "19"
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     "execution_count": 11,
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   "source": [
    "text2.find('school')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you use the function **find()** to locate a substring that does not exist, it will return -1:"
   ]
  },
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   "source": [
    "text2.find('jone')"
   ]
  },
  {
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   "source": [
    "Another method is **count()**, which returns the number of occurrences of a particular substring:"
   ]
  },
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   "cell_type": "code",
   "execution_count": 13,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 13,
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   ],
   "source": [
    "text2.count('to')"
   ]
  },
  {
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   "source": [
    "The function **replace()** can be used in text processing to replace one pattern with another: here is an example:"
   ]
  },
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   "execution_count": 14,
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   "outputs": [],
   "source": [
    "text3 = 'sam:jake:jone'"
   ]
  },
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   "cell_type": "code",
   "execution_count": 15,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "'sam, jake, jone'"
      ]
     },
     "execution_count": 15,
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   ],
   "source": [
    "text3.replace(':', ', ')"
   ]
  },
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    "***\n",
    "\n",
    "<h1 align=\"center\">Thank You</h1> \n",
    "\n",
    "***"
   ]
  }
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