Added files

Author: AileenNielsen

1. Dates & Times.ipynb

@@ -0,0 +1,185 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "rng = pd.date_range('3/6/2012 00:00', periods = 15, freq = 'D')\n",
+    "rng.tz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "rng_tz = pd.date_range('3/6/2012 00:00', periods = 15, freq = 'D', tz = 'Europe/London')\n",
+    "rng_tz.tz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "from pytz import common_timezones, all_timezones\n",
+    "print(len(common_timezones))\n",
+    "print(len(all_timezones))\n",
+    "print(set(all_timezones) - set(common_timezones))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# You can also localize a naive timestamp\n",
+    "t_naive = pd.Timestamp('2016-07-10 08:50')\n",
+    "t_naive"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "t = t_naive.tz_localize(tz = 'US/Central')\n",
+    "t"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "t.tz_convert('Asia/Tokyo')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# how to handle daylight savings?\n",
+    "rng = pd.date_range('2016-03-10', periods=10, tz='US/Central')\n",
+    "ts = pd.Series(range(10), index=rng)\n",
+    "ts"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "rng = pd.date_range('2016-03-10', periods=10, tz='utc')\n",
+    "ts = pd.Series(range(10), index=rng)\n",
+    "ts"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "ts.tz_convert('US/Central')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "pd.date_range('03-12-2016 22:00', periods = 12, freq = 'H', tz = 'US/Eastern')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# May autocorrect an error rather than giving you a non-existent time error\n",
+    "pd.Timestamp('2016-03-13 02:00', tz = 'US/Eastern')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.5.1"
+  },
+  "widgets": {
+   "state": {},
+   "version": "1.1.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}