Pandas DataFrame axis basics (Part 1)

df_basics_1.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Empty DataFrame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
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     "name": "stdout",
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      "0\n",
      "2\n",
      "Index([], dtype='object')\n",
      "Index([], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame()\n",
    "print(df.size)\n",
    "print(len(df.axes))\n",
    "print(df.axes[0])\n",
    "print(df.axes[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialize DataFrame with row data from array:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   0\n",
      "0  A\n",
      "1  B\n",
      "RangeIndex(start=0, stop=2, step=1)\n",
      "RangeIndex(start=0, stop=1, step=1)\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(['A', 'B'])\n",
    "print(df.head())\n",
    "print(df.axes[0])\n",
    "print(df.axes[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialize DataFrame with column data from array:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   0  1\n",
      "0  A  B\n",
      "RangeIndex(start=0, stop=1, step=1)\n",
      "RangeIndex(start=0, stop=2, step=1)\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(['A', 'B']).T\n",
    "print(df.head())\n",
    "print(df.axes[0])\n",
    "print(df.axes[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialize DataFrame with column data and labels:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   A  B\n",
      "0  1  2\n",
      "RangeIndex(start=0, stop=1, step=1)\n",
      "Index(['A', 'B'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame([[1,2]], columns=['A', 'B'])\n",
    "print(df.head())\n",
    "print(df.axes[0])\n",
    "print(df.axes[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialize DataFrame with column data and labels, and index:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   A  B\n",
      "C  1  2\n",
      "D  3  4\n",
      "Index(['C', 'D'], dtype='object')\n",
      "Index(['A', 'B'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame([[1,2],[3,4]], index=list('CD'), columns=list('AB'))\n",
    "print(df.head())\n",
    "print(df.axes[0])\n",
    "print(df.axes[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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