Pandas DataFrame axis basics (Part 2)

df_basics_2.ipynb

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      "   A  B\n",
      "0  1  2\n",
      "1  3  4\n",
      "2  5  6\n",
      "3  7  8\n"
     ]
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   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame([[1,2],[3,4],[5,6],[7,8]], columns=list('AB'))\n",
    "print(df.head())"
   ]
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   "source": [
    "## Location based indexing\n",
    "\n",
    "#### Use of loc and iloc produces equivalent results here:"
   ]
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     "text": [
      "A    3\n",
      "B    4\n",
      "Name: 1, dtype: int64\n",
      "A    3\n",
      "B    4\n",
      "Name: 1, dtype: int64\n"
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   "source": [
    "print(df.loc[1])\n",
    "print(df.iloc[1])"
   ]
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   "execution_count": 3,
   "metadata": {},
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     "text": [
      "   A  B\n",
      "C  1  2\n",
      "D  3  4\n",
      "E  5  6\n",
      "F  7  8\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame([[1,2],[3,4],[5,6],[7,8]], index=list('CDEF'), columns=list('AB'))\n",
    "print(df.head())"
   ]
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  {
   "cell_type": "markdown",
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   "source": [
    "## Location based indexing"
   ]
  },
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      "A    7\n",
      "B    8\n",
      "Name: F, dtype: int64\n",
      "A    7\n",
      "B    8\n",
      "Name: F, dtype: int64\n"
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    }
   ],
   "source": [
    "print(df.loc['F'])\n",
    "print(df.iloc[3])"
   ]
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   "execution_count": 5,
   "metadata": {},
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     "text": [
      "7\n",
      "7\n"
     ]
    }
   ],
   "source": [
    "print(df.loc['F', 'A'])\n",
    "print(df.iloc[3, 0])"
   ]
  },
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   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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     "output_type": "stream",
     "text": [
      "C    1\n",
      "D    3\n",
      "E    5\n",
      "F    7\n",
      "Name: A, dtype: int64\n",
      "C    1\n",
      "D    3\n",
      "E    5\n",
      "F    7\n",
      "Name: A, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(df['A'])\n",
    "print(df.A)"
   ]
  },
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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