9.6 Renaming columns and index labels.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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   "source": [
    "***\n",
    "<h1 align=\"center\">Udemy course : Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn</h1> \n",
    "\n",
    "***"
   ]
  },
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   "source": [
    "## 9.6 Renaming columns and index labels"
   ]
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   "source": [
    "First we import numpy and pandas libraries:"
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   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "Here we creat a simple dataframe using the function **pd.DataFrame()**:"
   ]
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       "       one  two  three\n",
       "green    0    1      2\n",
       "red      3    4      5\n",
       "black    6    7      8\n",
       "white    9   10     11"
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   "source": [
    "data = pd.DataFrame(np.arange(12).reshape((4, 3)),\n",
    " index=['green', 'red', 'black', 'white'],\n",
    " columns=['one', 'two', 'three'])\n",
    "data"
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   "source": [
    "We can rename any index value using the function **rename()**, here green is replaced by yellow:"
   ]
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       "        one  two  three\n",
       "yellow    0    1      2\n",
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    "data.rename(index = {'green':'yellow'}, inplace =True)\n",
    "data"
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   "source": [
    "We can aslo replace columns labeles using the same function but adding the argument **columns**, here we replace the column ('three') to be ('four'):"
   ]
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       "        one  two  four\n",
       "yellow    0    1     2\n",
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    "data.rename(columns = {'three':'four'}, inplace =True)\n",
    "data"
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   "source": [
    "We can aslo change the format of the labels, for example here we change the index labels to have capital letters using the function **str.upper()**"
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       "        one  two  four\n",
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    "data.index = data.index.str.upper()\n",
    "data"
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   "source": [
    "Similarly, we can change the format of columns labels to a title format using **str.title()**"
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       "        One  Two  Four\n",
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    "data.columns= data.columns.str.title()\n",
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   "source": [
    "***\n",
    "\n",
    "<h1 align=\"center\">Thank You</h1> \n",
    "\n",
    "***"
   ]
  }
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