{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0     a-a-x \n",
      "1     b-x-b \n",
      "2     x-c-c \n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "s = pd.Series([' a-a-x ', ' b-x-b ', ' x-c-c '])\n",
    "print(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0     a-a-z \n",
      "1     b-z-b \n",
      "2     z-c-c \n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "s_new = s.str.replace('x', 'z')\n",
    "print(s_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        col1       col2\n",
      "0   a-a-x-1    a-a-x-2 \n",
      "1   b-x-b-1    b-x-b-2 \n",
      "2   x-c-c-1    x-c-c-2 \n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame([[' a-a-x-1 ', ' a-a-x-2 '],\n",
    "                   [' b-x-b-1 ', ' b-x-b-2 '],\n",
    "                   [' x-c-c-1 ', ' x-c-c-2 ']],\n",
    "                  columns=['col1', 'col2'])\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        col1       col2\n",
      "0   a-a-z-1    a-a-x-2 \n",
      "1   b-z-b-1    b-x-b-2 \n",
      "2   z-c-c-1    x-c-c-2 \n"
     ]
    }
   ],
   "source": [
    "df['col1'] = df['col1'].str.replace('x', 'z')\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    a-a-x\n",
      "1    b-x-b\n",
      "2    x-c-c\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "s_new = s.str.strip()\n",
    "print(s_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0     a-a-\n",
      "1    b-x-b\n",
      "2     -c-c\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "s_new = s.str.strip(' x')\n",
    "print(s_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      col1       col2\n",
      "0  a-a-z-1   a-a-x-2 \n",
      "1  b-z-b-1   b-x-b-2 \n",
      "2  z-c-c-1   x-c-c-2 \n"
     ]
    }
   ],
   "source": [
    "df['col1'] = df['col1'].str.strip()\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    a-a-x \n",
      "1    b-x-b \n",
      "2    x-c-c \n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "s_new = s.str.lstrip()\n",
    "print(s_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0     a-a-x\n",
      "1     b-x-b\n",
      "2     x-c-c\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "s_new = s.str.rstrip()\n",
    "print(s_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    Hello World\n",
      "1    hello world\n",
      "2    HELLO WORLD\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "s = pd.Series(['Hello World', 'hello world', 'HELLO WORLD'])\n",
    "print(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    hello world\n",
      "1    hello world\n",
      "2    hello world\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "s_new = s.str.lower()\n",
    "print(s_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    HELLO WORLD\n",
      "1    HELLO WORLD\n",
      "2    HELLO WORLD\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "s_new = s.str.upper()\n",
    "print(s_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    Hello world\n",
      "1    Hello world\n",
      "2    Hello world\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "s_new = s.str.capitalize()\n",
    "print(s_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    Hello World\n",
      "1    Hello World\n",
      "2    Hello World\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "s_new = s.str.title()\n",
    "print(s_new)"
   ]
  }
 ],
 "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": "3.6.3"
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 },
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