{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Issue 6: Rio Grande - examine individual events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import xarray.ufuncs as xrf\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import glob"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Definition of functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_group(gruppe, loc):\n",
    "    station = loc  # ersten Buchstaben bitte bitte groß schreiben\n",
    "\n",
    "    if loc == \"Rio\":\n",
    "        timestart = \"2008-02-01\"\n",
    "        timeend = \"2019-12-31\"\n",
    "    elif loc == \"Col\":\n",
    "        timestart = \"2004-08-01\"\n",
    "        timeend = \"2019-03-06\"\n",
    "    elif loc == \"CMA\":\n",
    "        timestart = \"2002-01-01\"\n",
    "        timeend = \"2018-12-31\"\n",
    "    elif loc == \"Dav\":\n",
    "        timestart = \"2005-01-01\"\n",
    "        timeend = \"2019-12-31\"\n",
    "    elif loc == \"Kir\":\n",
    "        timestart = \"1999-08-01\"\n",
    "        timeend = \"2019-12-31\"\n",
    "\n",
    "    infiles = f\"{root_path}{station}/Meteor_radar_{station}_GW_*.h5\"\n",
    "    if gruppe == \"tides\":\n",
    "        ds = xr.open_mfdataset(\n",
    "            infiles,\n",
    "            concat_dim=\"phony_dim_4\",\n",
    "            group=gruppe,\n",
    "            combine=\"nested\",\n",
    "            parallel=True,\n",
    "        )\n",
    "        ds = ds.rename({\"phony_dim_4\": \"time\", \"phony_dim_5\": \"alt\"})\n",
    "    else:\n",
    "        ds = xr.open_mfdataset(\n",
    "            infiles,\n",
    "            concat_dim=\"phony_dim_6\",\n",
    "            group=gruppe,\n",
    "            combine=\"nested\",\n",
    "            parallel=True,\n",
    "        )\n",
    "        ds = ds.rename({\"phony_dim_6\": \"time\", \"phony_dim_7\": \"alt\"})\n",
    "    ds[\"alt\"] = alt\n",
    "    ds[\"alt\"].attrs[\"units\"] = \"km\"\n",
    "    # change time range according to meteor radar station\n",
    "    ds[\"time\"] = pd.date_range(start=timestart, end=timeend, periods=ds.time.shape[0])\n",
    "    return ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_var(gruppe, var):\n",
    "    varout = gruppe[var]\n",
    "    return varout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def time_mean(step, var):\n",
    "    return var.resample(time=\"1\" + step).mean(\n",
    "        \"time\"\n",
    "    )  # Immer nur D oder M oder H oder Y eintragen! Mit Anführungszeichen!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def anomalie(step, var):\n",
    "    string = \"time.\" + step\n",
    "    climatology = var.groupby(string).mean(\"time\")\n",
    "    anomalies = var.groupby(string) - climatology\n",
    "\n",
    "    return anomalies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sea(days_period, station, var, ave_f=xr.DataArray.mean):\n",
    "    df_dates = pd.read_csv(\n",
    "        \"ssw_dates_displ_\" + station + \"_without_final_warmings.csv\"\n",
    "    )  # you can load SSWs from a csv file like attached\n",
    "    dates = df_dates.set_index(\"BeginDate\")\n",
    "\n",
    "    xa_ls = []\n",
    "    max_lag = days_period\n",
    "    for il, days in enumerate(range(-max_lag, max_lag + 1)):\n",
    "        sel_dates = pd.to_datetime(dates.index) + pd.Timedelta(str(days) + \" days\")\n",
    "        mask = np.in1d(var.time.dt.floor(\"1D\"), sel_dates)\n",
    "        comp_m = ave_f(var.sel(time=mask), \"time\")\n",
    "        xa_ls.append(comp_m)\n",
    "\n",
    "    xa_comp = xr.concat(xa_ls, dim=\"days\")\n",
    "    xa_comp[\"days\"] = range(-max_lag, max_lag + 1)\n",
    "\n",
    "    # print(xa_comp'\n",
    "    return xa_comp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "alt = [\n",
    "    70,\n",
    "    72,\n",
    "    74,\n",
    "    76,\n",
    "    78,\n",
    "    80,\n",
    "    82,\n",
    "    84,\n",
    "    86,\n",
    "    88,\n",
    "    90,\n",
    "    92,\n",
    "    94,\n",
    "    96,\n",
    "    98,\n",
    "    100,\n",
    "    102,\n",
    "    104,\n",
    "    106,\n",
    "    108,\n",
    "    110,\n",
    "    112,\n",
    "    114,\n",
    "    116,\n",
    "    118,\n",
    "    120,\n",
    "]\n",
    "root_path = \"/home/gemeinsam_tmp/UA_students/data/\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rio Grande"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hourly datasets without final warmings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_rio = read_group(\"wind\", \"Rio\")\n",
    "u_rio = read_var(ds_rio, \"u\")\n",
    "v_rio = read_var(ds_rio, \"v\")\n",
    "\n",
    "u_rio_anomalie = anomalie(\"day\", u_rio)\n",
    "# u_rio_anomalie.plot(x='time',robust=True)\n",
    "\n",
    "v_rio_anomalie = anomalie(\"day\", v_rio)\n",
    "\n",
    "sea_u_rio = sea(30, \"Rio\", u_rio)\n",
    "sea_u_rio_anomalie = sea(30, \"Rio\", u_rio_anomalie)\n",
    "\n",
    "sea_v_rio = sea(30, \"Rio\", v_rio)\n",
    "sea_v_rio_anomalie = sea(30, \"Rio\", v_rio_anomalie)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/hochatmstud/.conda/envs/uas/lib/python3.6/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
      "  x = np.divide(x1, x2, out)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax33 = sea_u_rio.sel(alt=slice(70, 110)).plot(x=\"days\", robust=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/hochatmstud/.conda/envs/uas/lib/python3.6/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
      "  x = np.divide(x1, x2, out)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax34 = sea_u_rio_anomalie.sel(alt=slice(70, 110)).plot(x=\"days\", robust=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Median"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_rio = read_group(\"wind\", \"Rio\")\n",
    "u_rio = read_var(ds_rio, \"u\")\n",
    "v_rio = read_var(ds_rio, \"v\")\n",
    "\n",
    "u_rio_anomalie = anomalie(\"day\", u_rio)\n",
    "# u_rio_anomalie.plot(x='time',robust=True)\n",
    "\n",
    "v_rio_anomalie = anomalie(\"day\", v_rio)\n",
    "\n",
    "sea_u_rio_med = sea(30, \"Rio\", u_rio, ave_f=xr.DataArray.median)\n",
    "sea_u_rio_anomalie_med = sea(30, \"Rio\", u_rio_anomalie, ave_f=xr.DataArray.median)\n",
    "\n",
    "sea_v_rio_med = sea(30, \"Rio\", v_rio, ave_f=xr.DataArray.median)\n",
    "sea_v_rio_anomalie_med = sea(30, \"Rio\", v_rio_anomalie, ave_f=xr.DataArray.median)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/hochatmstud/.conda/envs/uas/lib/python3.6/site-packages/numpy/lib/nanfunctions.py:1116: RuntimeWarning: All-NaN slice encountered\n",
      "  overwrite_input=overwrite_input)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax35 = sea_u_rio_med.sel(alt=slice(70, 110)).plot(x=\"days\", robust=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/hochatmstud/.conda/envs/uas/lib/python3.6/site-packages/numpy/lib/nanfunctions.py:1116: RuntimeWarning: All-NaN slice encountered\n",
      "  overwrite_input=overwrite_input)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax36 = sea_u_rio_anomalie_med.sel(alt=slice(70, 110)).plot(x=\"days\", robust=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No obvious differences between using mean and median for the superposed epoch analysis of the zonal wind are apparent."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Individual events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sea_individual(days_period, station, var):\n",
    "    df_dates = pd.read_csv(\n",
    "        \"ssw_dates_displ_\" + station + \"_without_final_warmings.csv\"\n",
    "    )  # you can load SSWs from a csv file like attached\n",
    "    dates = df_dates.set_index(\"BeginDate\")\n",
    "\n",
    "    xa_ls = []\n",
    "\n",
    "    print(dates.index)\n",
    "\n",
    "    for days in dates.index:\n",
    "\n",
    "        td = pd.Timedelta(\n",
    "            str(days_period) + \" days\"\n",
    "        )  # define timedelta e.g., +/- 30 days\n",
    "        comp_m = var.sel(\n",
    "            time=slice(pd.to_datetime(days) - td, pd.to_datetime(days) + td)\n",
    "        )  # select the data in the time range around the SSW onset\n",
    "        comp_m[\"time\"] = np.linspace(\n",
    "            -days_period, days_period, comp_m.time.shape[0]\n",
    "        )  # set the time dimension of comp_m to an array of +/- the period\n",
    "        xa_ls.append(comp_m)  # xa_ls is an array of the datasets of all single events\n",
    "\n",
    "    xa_comp = xr.concat(\n",
    "        xa_ls, dim=\"event\"\n",
    "    )  # assign 'event' as new dimension to the data array --> new array xa_comp\n",
    "    xa_comp[\n",
    "        \"event\"\n",
    "    ] = (\n",
    "        dates.index.values\n",
    "    )  # xa_comp has now the dimension 'event' and the values of this dimension are the indices of dates (i.e. the dates of the SSW onsets)\n",
    "\n",
    "    return xa_comp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['2009-01-24', '2010-02-09', '2013-01-06', '2018-02-12'], dtype='object', name='BeginDate')\n",
      "Index(['2009-01-24', '2010-02-09', '2013-01-06', '2018-02-12'], dtype='object', name='BeginDate')\n",
      "Index(['2009-01-24', '2010-02-09', '2013-01-06', '2018-02-12'], dtype='object', name='BeginDate')\n",
      "Index(['2009-01-24', '2010-02-09', '2013-01-06', '2018-02-12'], dtype='object', name='BeginDate')\n"
     ]
    }
   ],
   "source": [
    "sea_u_rio_individual = sea_individual(30, \"Rio\", u_rio)\n",
    "sea_u_rio_individual_anomalie = sea_individual(30, \"Rio\", u_rio_anomalie)\n",
    "\n",
    "sea_v_rio = sea_individual(30, \"Rio\", v_rio)\n",
    "sea_v_rio_individual_anomalie = sea_individual(30, \"Rio\", v_rio_anomalie)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
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       "</table></pre></div></li><li class='xr-section-item'><input id='section-055d560e-9680-48cd-abd4-f358bbd47d9e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-055d560e-9680-48cd-abd4-f358bbd47d9e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-30.0 -29.96 -29.96 ... 29.96 30.0</div><input id='attrs-5a99e892-6ff1-4191-a5df-11c0dba718cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a99e892-6ff1-4191-a5df-11c0dba718cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66c4e875-18ec-45af-8f48-c7dcf1002003' class='xr-var-data-in' type='checkbox'><label for='data-66c4e875-18ec-45af-8f48-c7dcf1002003' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([-30.      , -29.958333, -29.958304, ...,  29.958304,  29.958333,\n",
       "        30.      ])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>alt</span></div><div class='xr-var-dims'>(alt)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>70 72 74 76 78 ... 114 116 118 120</div><input id='attrs-12f10d22-4435-4119-a3be-4b427bbc623d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12f10d22-4435-4119-a3be-4b427bbc623d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a187c22c-ec48-4d01-bd58-a2b72e55bec9' class='xr-var-data-in' type='checkbox'><label for='data-a187c22c-ec48-4d01-bd58-a2b72e55bec9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd></dl></div><pre class='xr-var-data'>array([ 70,  72,  74,  76,  78,  80,  82,  84,  86,  88,  90,  92,  94,  96,\n",
       "        98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>event</span></div><div class='xr-var-dims'>(event)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2009-01-24&#x27; ... &#x27;2018-02-12&#x27;</div><input id='attrs-e106ab48-7430-44f4-b0b7-f996c9484f89' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e106ab48-7430-44f4-b0b7-f996c9484f89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3023fb7-f584-49ae-a73a-7de9eb3600f5' class='xr-var-data-in' type='checkbox'><label for='data-b3023fb7-f584-49ae-a73a-7de9eb3600f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([&#x27;2009-01-24&#x27;, &#x27;2010-02-09&#x27;, &#x27;2013-01-06&#x27;, &#x27;2018-02-12&#x27;], dtype=object)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-2c13b5a1-9b2b-4ea4-bb5f-5e2cb7afb2d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2c13b5a1-9b2b-4ea4-bb5f-5e2cb7afb2d5' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>zonal wind :</span></dt><dd>zonal / m/s</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'u' (event: 4, time: 2879, alt: 26)>\n",
       "dask.array<concatenate, shape=(4, 2879, 26), dtype=float64, chunksize=(1, 639, 26), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) float64 -30.0 -29.96 -29.96 -29.92 ... 29.96 29.96 30.0\n",
       "  * alt      (alt) int64 70 72 74 76 78 80 82 84 ... 108 110 112 114 116 118 120\n",
       "  * event    (event) object '2009-01-24' '2010-02-09' '2013-01-06' '2018-02-12'\n",
       "Attributes:\n",
       "    zonal wind:  zonal / m/s"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sea_u_rio_individual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.LineCollection at 0x7fadf43e39e8>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x2016 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sea_u_rio_individual.plot(x=\"time\", row=\"event\", robust=True, size=7)\n",
    "plt.vlines(0, 60, 130, color=\"g\", lw=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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       "</tr>\n",
       "</table></pre></div></li><li class='xr-section-item'><input id='section-d2753377-fdfd-4d13-9e86-b4b6f4cd7b2b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d2753377-fdfd-4d13-9e86-b4b6f4cd7b2b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-30.0 -29.96 -29.96 ... 29.96 30.0</div><input id='attrs-fde40251-813a-4ca5-baeb-2508cb89d13c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fde40251-813a-4ca5-baeb-2508cb89d13c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7858d6e0-7491-4917-8902-28c8881ddc8c' class='xr-var-data-in' type='checkbox'><label for='data-7858d6e0-7491-4917-8902-28c8881ddc8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([-30.      , -29.958333, -29.958304, ...,  29.958304,  29.958333,\n",
       "        30.      ])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>alt</span></div><div class='xr-var-dims'>(alt)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>70 72 74 76 78 ... 114 116 118 120</div><input id='attrs-e215c9eb-94ed-4f4e-b384-8183f4f39636' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e215c9eb-94ed-4f4e-b384-8183f4f39636' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4deefedb-9735-444a-9369-8a19064e4a05' class='xr-var-data-in' type='checkbox'><label for='data-4deefedb-9735-444a-9369-8a19064e4a05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd></dl></div><pre class='xr-var-data'>array([ 70,  72,  74,  76,  78,  80,  82,  84,  86,  88,  90,  92,  94,  96,\n",
       "        98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>event</span></div><div class='xr-var-dims'>(event)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2009-01-24&#x27; ... &#x27;2018-02-12&#x27;</div><input id='attrs-f405eda5-0eef-46e3-a543-fb0819e7416d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f405eda5-0eef-46e3-a543-fb0819e7416d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-151e3f96-82a6-425c-b008-4dedbefc59ed' class='xr-var-data-in' type='checkbox'><label for='data-151e3f96-82a6-425c-b008-4dedbefc59ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([&#x27;2009-01-24&#x27;, &#x27;2010-02-09&#x27;, &#x27;2013-01-06&#x27;, &#x27;2018-02-12&#x27;], dtype=object)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-d66d9cee-c453-4e91-856b-3a281ecd3464' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d66d9cee-c453-4e91-856b-3a281ecd3464' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>zonal wind :</span></dt><dd>zonal / m/s</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'u' (event: 4, time: 2879, alt: 26)>\n",
       "dask.array<concatenate, shape=(4, 2879, 26), dtype=float64, chunksize=(1, 639, 26), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) float64 -30.0 -29.96 -29.96 -29.92 ... 29.96 29.96 30.0\n",
       "  * alt      (alt) int64 70 72 74 76 78 80 82 84 ... 108 110 112 114 116 118 120\n",
       "  * event    (event) object '2009-01-24' '2010-02-09' '2013-01-06' '2018-02-12'\n",
       "Attributes:\n",
       "    zonal wind:  zonal / m/s"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sea_u_rio_individual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.LineCollection at 0x7fadd4436a90>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sea_u_rio_individual[0].sel(alt=slice(70, 110)).plot(x=\"time\", robust=True)\n",
    "plt.vlines(0, 60, 120, color=\"g\", lw=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.LineCollection at 0x7fae740b3390>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sea_u_rio_individual[1].sel(alt=slice(70, 110)).plot(x=\"time\", robust=True)\n",
    "plt.vlines(0, 60, 120, color=\"g\", lw=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.LineCollection at 0x7fadd4480080>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sea_u_rio_individual[2].sel(alt=slice(70, 110)).plot(x=\"time\", robust=True)\n",
    "plt.vlines(0, 60, 120, color=\"g\", lw=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.LineCollection at 0x7fae7418df98>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sea_u_rio_individual[3].sel(alt=slice(70, 110)).plot(x=\"time\", robust=True)\n",
    "plt.vlines(0, 60, 120, color=\"g\", lw=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "Index is not smaller than dimension 4 >= 4",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-23-80d70157b139>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msea_u_rio_individual\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0malt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mslice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m70\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m110\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'time'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mrobust\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvlines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m60\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m120\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'g'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlw\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/uas/lib/python3.6/site-packages/xarray/core/dataarray.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    629\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    630\u001b[0m             \u001b[0;31m# xarray-style array indexing\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 631\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_item_key_to_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    632\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    633\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__setitem__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/uas/lib/python3.6/site-packages/xarray/core/dataarray.py\u001b[0m in \u001b[0;36misel\u001b[0;34m(self, indexers, drop, **indexers_kwargs)\u001b[0m\n\u001b[1;32m   1010\u001b[0m         \u001b[0;31m# lists, or zero or one-dimensional np.ndarray's\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1011\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1012\u001b[0;31m         \u001b[0mvariable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_variable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexers\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1013\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1014\u001b[0m         \u001b[0mcoords\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/uas/lib/python3.6/site-packages/xarray/core/variable.py\u001b[0m in \u001b[0;36misel\u001b[0;34m(self, indexers, **indexers_kwargs)\u001b[0m\n\u001b[1;32m   1058\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1059\u001b[0m         \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdim\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mslice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mdim\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdims\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1060\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1061\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1062\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0msqueeze\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/uas/lib/python3.6/site-packages/xarray/core/variable.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    702\u001b[0m         \"\"\"\n\u001b[1;32m    703\u001b[0m         \u001b[0mdims\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnew_order\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_broadcast_indexes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 704\u001b[0;31m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mas_indexable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    705\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mnew_order\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    706\u001b[0m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mduck_array_ops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmoveaxis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_order\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnew_order\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/uas/lib/python3.6/site-packages/xarray/core/indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   1334\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1335\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mBasicIndexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1336\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtuple\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1337\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mVectorizedIndexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1338\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvindex\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtuple\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/uas/lib/python3.6/site-packages/dask/array/core.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, index)\u001b[0m\n\u001b[1;32m   1532\u001b[0m         )\n\u001b[1;32m   1533\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1534\u001b[0;31m         \u001b[0mindex2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnormalize_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1535\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1536\u001b[0m         \u001b[0mdependencies\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/uas/lib/python3.6/site-packages/dask/array/slicing.py\u001b[0m in \u001b[0;36mnormalize_index\u001b[0;34m(idx, shape)\u001b[0m\n\u001b[1;32m    813\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0md\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnone_shape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    814\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0md\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 815\u001b[0;31m             \u001b[0mcheck_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0md\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    816\u001b[0m     \u001b[0midx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msanitize_index\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    817\u001b[0m     \u001b[0midx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnormalize_slice\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnone_shape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/uas/lib/python3.6/site-packages/dask/array/slicing.py\u001b[0m in \u001b[0;36mcheck_index\u001b[0;34m(ind, dimension)\u001b[0m\n\u001b[1;32m    882\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mind\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0mdimension\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    883\u001b[0m         raise IndexError(\n\u001b[0;32m--> 884\u001b[0;31m             \u001b[0;34m\"Index is not smaller than dimension %d >= %d\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdimension\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    885\u001b[0m         )\n\u001b[1;32m    886\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mIndexError\u001b[0m: Index is not smaller than dimension 4 >= 4"
     ]
    }
   ],
   "source": [
    "sea_u_rio_individual[4].sel(alt=slice(70, 110)).plot(x=\"time\", robust=True)\n",
    "plt.vlines(0, 60, 120, color=\"g\", lw=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sea_u_rio_individual[4].sel(alt=90, method=\"nearest\").plot(x=\"time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sea_u_rio_individual[5].sel(alt=slice(70, 110)).plot(x=\"time\", robust=True)\n",
    "plt.vlines(0, 60, 120, color=\"g\", lw=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sea_u_rio_individual[6].sel(alt=slice(70, 110)).plot(x=\"time\", robust=True)\n",
    "plt.vlines(0, 60, 120, color=\"g\", lw=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sea_u_rio_individual[7].sel(alt=slice(70, 110)).plot(x=\"time\", robust=True)\n",
    "plt.vlines(0, 60, 120, color=\"g\", lw=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sea_u_rio_individual[8].sel(alt=slice(70, 110)).plot(x=\"time\", robust=True)\n",
    "plt.vlines(0, 60, 120, color=\"g\", lw=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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