D05E. Dataframes Merging & Concatenating Exercises.ipynb

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    "# D05E: Dataframes Merging & Concatenating Exercises"
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    "#### Exercise 1: For the dataframes below:\n",
    "\n",
    "1) Concatenate df1 and df 2<br/>\n",
    "2) Merge df1 and df2 using their index<br/>\n",
    "3) Merge df3 and df4 using the key & UID values<br/>\n",
    "4) merge df3 and df4 by setting the key / UID value as the index on both datasets and then merging on that.<br/>\n",
    "5) What happens when you chance the name of 'data 2' in df4 to 'data 1'?<br/>\n",
    "\n"
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    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "df1 = pd.DataFrame({'key':np.arange(10),\n",
    "                 'data 1': np.random.random(10)})\n",
    "\n",
    "df = pd.DataFrame({'key':np.arange(10)+10,\n",
    "                 'data 1': np.random.random(10)})\n",
    "\n",
    "\n",
    "df3 = pd.DataFrame({'key':['A1','A2','A3','A3','A4','A5','A6','A7','A8','A8'],\n",
    "                 'data 1': np.arange(10)})\n",
    "\n",
    "df4 = pd.DataFrame({'UID':['A1','A2','A3','A4','A5','A6','A7','A8','A9'],\n",
    "                 'data 2': np.arange(9)+10})"
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