2. Time Zone Handling.ipynb

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   "source": [
    "import numpy as np\n",
    "import pandas as pd"
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   "source": [
    "rng = pd.date_range('3/6/2012 00:00', periods = 15, freq = 'D')\n",
    "rng.tz"
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    "rng_tz = pd.date_range('3/6/2012 00:00', periods = 15, freq = 'D', tz = 'Europe/London')\n",
    "rng_tz.tz"
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   "cell_type": "code",
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   "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))"
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   "source": [
    "# You can also localize a naive timestamp\n",
    "t_naive = pd.Timestamp('2016-07-10 08:50')\n",
    "t_naive"
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   "source": [
    "t = t_naive.tz_localize(tz = 'US/Central')\n",
    "t"
   ]
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    "t.tz_convert('Asia/Tokyo')"
   ]
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    "# 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"
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  {
   "cell_type": "code",
   "execution_count": null,
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   "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
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   "outputs": [],
   "source": [
    "ts.tz_convert('US/Central')"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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    "collapsed": false
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   "outputs": [],
   "source": [
    "pd.date_range('03-12-2016 22:00', periods = 12, freq = 'H', tz = 'US/Eastern')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "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')"
   ]
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   "cell_type": "code",
   "execution_count": null,
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