code/03-data-analysis-with-pandas/09C-dataframes-with-series.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[back](./09B-dataframes-from-dictionary.ipynb)\n",
    "\n",
    "---\n",
    "### `Creating DataFrames from Series`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing pandas and numpy\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   col1  col2\n",
      "0     1     4\n",
      "1     2     5\n",
      "2     3     6\n"
     ]
    }
   ],
   "source": [
    "# Creating DataFrames with Pandas Series\n",
    "\n",
    "df = pd.DataFrame( {'col1': pd.Series([1, 2, 3]), 'col2': pd.Series([4, 5, 6])} )\n",
    "print(df)\n",
    "# NOTE: When an individual column is pulled out from the above DataFrame, it'll be a Pandas Series"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `Key notes`\n",
    "\n",
    "- We need at least one row of data for each of the column provided\n",
    "- Passing list of data is a little rigid, but passing dictionary gives a lot more flexibility"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "---\n",
    "[next](./10-getting-dataframe-elements.ipynb)"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "0b4484ae063bf9ef0d5115063857dd0e382a2c73ed49a11a000ca56af03302b6"
  },
  "kernelspec": {
   "display_name": "Python 3.9.7 ('base')",
   "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": "3.9.7"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}