code/refractive_index_lagA.ipynb

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    "import xarray as xr\n",
    "from pathlib import Path\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import MultipleLocator\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy.stats import trim_mean\n",
    "#from dask.distributed import Client, LocalCluster, get_task_stream\n",
    "\n",
    "#from itertools import product, combinations\n",
    "#from cftime import DatetimeNoLeap\n",
    "#from scipy.stats import ks_2samp, epps_singleton_2samp, ttest_ind, wilcoxon, mannwhitneyu\n",
    "#from collections import ChainMap"
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    "sns.set_style('whitegrid')\n",
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    "timescale = 20\n",
    "DJF_bool = '_DJFonly'\n",
    "root_path = '/mnt/nas4.meop2/meop40.data.model/CMAM/0A.daily/'\n",
    "root_path = '/mnt/data04/model/CMAM/0A.daily/'\n",
    "cesta = f'{root_path}composites_woSSW{DJF_bool}/'"
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    "def open_date_file(file_path):\n",
    "    df = pd.read_csv(file_path, index_col=0, parse_dates=True)\n",
    "    df['BeginDate'] = df.BeginDate.apply(lambda t: pd.to_datetime(t, format='%Y-%m-%d'))\n",
    "    return df"
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      "/tmp/ipykernel_1640713/4049119888.py:7: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
      "  ds['time'] = ds.indexes['time'].to_datetimeindex()\n"
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       "  * wavenumber  (wavenumber) int64 1 2 3\n",
       "Data variables:\n",
       "    refr_index  (time, wavenumber, plev, lat) float64 1.852e+03 ... -3.582e+03</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e491da5e-bbb5-4930-98d0-7e2cd709e116' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e491da5e-bbb5-4930-98d0-7e2cd709e116' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 48</li><li><span class='xr-has-index'>plev</span>: 63</li><li><span class='xr-has-index'>time</span>: 11680</li><li><span class='xr-has-index'>wavenumber</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-222e0bd4-7a69-47ac-ad7d-24b2ad866259' class='xr-section-summary-in' type='checkbox'  checked><label for='section-222e0bd4-7a69-47ac-ad7d-24b2ad866259' class='xr-section-summary' >Coordinates: <span>(4)</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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2010-12-31</div><input id='attrs-bfcde3a1-e8e8-4304-85c5-306776a32110' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bfcde3a1-e8e8-4304-85c5-306776a32110' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0f5c734-5729-4821-89ab-41624339c576' class='xr-var-data-in' type='checkbox'><label for='data-e0f5c734-5729-4821-89ab-41624339c576' 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><div class='xr-var-data'><pre>array([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-01-03T00:00:00.000000000&#x27;, ..., &#x27;2010-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-12-30T00:00:00.000000000&#x27;, &#x27;2010-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+03 925.0 850.0 ... 0.001 0.0007</div><input id='attrs-b4e2511a-abc2-4c1b-9367-f11be381d2af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4e2511a-abc2-4c1b-9367-f11be381d2af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-472ba38f-47f0-4037-b602-54d082273707' class='xr-var-data-in' type='checkbox'><label for='data-472ba38f-47f0-4037-b602-54d082273707' 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>bounds :</span></dt><dd>plev_bnds</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([1.00e+03, 9.25e+02, 8.50e+02, 8.00e+02, 7.80e+02, 7.50e+02, 7.00e+02,\n",
       "       6.50e+02, 6.00e+02, 5.00e+02, 4.50e+02, 4.00e+02, 3.50e+02, 3.00e+02,\n",
       "       2.85e+02, 2.50e+02, 2.00e+02, 1.70e+02, 1.50e+02, 1.30e+02, 1.15e+02,\n",
       "       1.00e+02, 9.00e+01, 8.00e+01, 7.00e+01, 6.00e+01, 5.00e+01, 4.00e+01,\n",
       "       3.50e+01, 3.00e+01, 2.50e+01, 2.00e+01, 1.50e+01, 1.00e+01, 7.00e+00,\n",
       "       5.00e+00, 4.00e+00, 3.00e+00, 2.00e+00, 1.50e+00, 1.00e+00, 7.00e-01,\n",
       "       5.00e-01, 4.00e-01, 3.00e-01, 2.00e-01, 1.50e-01, 1.00e-01, 7.00e-02,\n",
       "       5.00e-02, 4.00e-02, 3.00e-02, 2.00e-02, 1.50e-02, 1.00e-02, 7.00e-03,\n",
       "       5.00e-03, 4.00e-03, 3.00e-03, 2.00e-03, 1.50e-03, 1.00e-03, 7.00e-04])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.16 -83.48 ... 83.48 87.16</div><input id='attrs-066e6be5-0205-4d37-b3f1-ffb6be471259' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-066e6be5-0205-4d37-b3f1-ffb6be471259' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55197cdf-7b8a-435f-bdb2-c8e039c1b2a6' class='xr-var-data-in' type='checkbox'><label for='data-55197cdf-7b8a-435f-bdb2-c8e039c1b2a6' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.159094, -83.478937, -79.777046, -76.070244, -72.361581, -68.652017,\n",
       "       -64.941949, -61.231573, -57.520994, -53.810274, -50.099453, -46.388558,\n",
       "       -42.677606, -38.96661 , -35.25558 , -31.544523, -27.833444, -24.122348,\n",
       "       -20.411238, -16.700118, -12.988988,  -9.277853,  -5.566714,  -1.855571,\n",
       "         1.855571,   5.566714,   9.277853,  12.988988,  16.700118,  20.411238,\n",
       "        24.122348,  27.833444,  31.544523,  35.25558 ,  38.96661 ,  42.677606,\n",
       "        46.388558,  50.099453,  53.810274,  57.520994,  61.231573,  64.941949,\n",
       "        68.652017,  72.361581,  76.070244,  79.777046,  83.478937,  87.159094])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wavenumber</span></div><div class='xr-var-dims'>(wavenumber)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-26368043-89ce-4a43-96f9-c779a4aab238' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26368043-89ce-4a43-96f9-c779a4aab238' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67111931-e8ca-49bb-bc21-e646e6905671' class='xr-var-data-in' type='checkbox'><label for='data-67111931-e8ca-49bb-bc21-e646e6905671' 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><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-947bc1e0-0011-4839-b19a-a1cbb52cbfb6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-947bc1e0-0011-4839-b19a-a1cbb52cbfb6' class='xr-section-summary' >Data variables: <span>(1)</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>refr_index</span></div><div class='xr-var-dims'>(time, wavenumber, plev, lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.852e+03 -103.0 ... -3.582e+03</div><input id='attrs-b67e7088-383a-41bb-9ba2-835db97acbab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b67e7088-383a-41bb-9ba2-835db97acbab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-604e35c2-bdc4-4e23-b4d6-8c5041bbdac6' class='xr-var-data-in' type='checkbox'><label for='data-604e35c2-bdc4-4e23-b4d6-8c5041bbdac6' 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><div class='xr-var-data'><pre>array([[[[ 1.85223370e+03, -1.03042854e+02,  8.10140915e+03, ...,\n",
       "           1.65354278e+03,  1.55395029e+03,  2.28777663e+04],\n",
       "         [ 1.81526022e+03,  1.77808445e+03,  3.56125405e+03, ...,\n",
       "           1.13540415e+03,  1.73610692e+03, -7.72071657e+03],\n",
       "         [ 2.54974269e+03,  5.05308505e+02,  2.41193761e+04, ...,\n",
       "           1.08859656e+03, -9.20463886e+03,  9.55162846e+01],\n",
       "         ...,\n",
       "         [ 1.03831378e+04,  4.75730268e+00,  1.56881817e+03, ...,\n",
       "           1.38486971e+02,  1.75712638e+02, -7.87896491e+00],\n",
       "         [ 3.44122039e+03, -1.51185658e+02, -1.61251452e+02, ...,\n",
       "          -6.86360459e+01, -3.30676316e+02, -4.42946058e+03],\n",
       "         [-6.87215225e+02,  1.16897117e+03,  1.06959486e+03, ...,\n",
       "          -4.86144850e+02,  2.89419019e+02, -1.64816444e+04]],\n",
       "\n",
       "        [[ 1.85223370e+03, -1.03042854e+02,  8.10140915e+03, ...,\n",
       "           1.65354278e+03,  1.55395029e+03,  2.28777663e+04],\n",
       "         [ 1.81526022e+03,  1.77808445e+03,  3.56125405e+03, ...,\n",
       "           1.13540415e+03,  1.73610692e+03, -7.72071657e+03],\n",
       "         [ 2.54974269e+03,  5.05308505e+02,  2.41193761e+04, ...,\n",
       "           1.08859656e+03, -9.20463886e+03,  9.55162846e+01],\n",
       "...\n",
       "         [ 5.09605699e+03, -8.31001150e+02, -2.21599386e+02, ...,\n",
       "          -8.67476852e+02,  2.75825201e+02,  4.88900830e+03],\n",
       "         [ 1.72450872e+04,  1.54678001e+03,  1.53671381e+03, ...,\n",
       "           3.07179288e+02,  3.22633312e+03,  7.67696929e+02],\n",
       "         [ 6.98669472e+03, -1.56668709e+03,  1.21903252e+02, ...,\n",
       "           2.45583711e+02,  6.66510902e+02, -3.58187879e+03]],\n",
       "\n",
       "        [[ 2.87894446e+02,  2.34256047e+05,  1.09916097e+02, ...,\n",
       "          -1.32469559e+04, -3.21365134e+03, -4.24806648e+03],\n",
       "         [ 3.65743803e+02, -3.72830023e+03, -2.90282782e+03, ...,\n",
       "          -5.89817756e+03,  2.57212548e+03, -3.97381807e+02],\n",
       "         [ 2.10318099e+02,  9.33204004e+04, -3.31843036e+03, ...,\n",
       "          -3.34487122e+03,  1.61067945e+04,  3.54464100e+03],\n",
       "         ...,\n",
       "         [ 5.09605699e+03, -8.31001150e+02, -2.21599386e+02, ...,\n",
       "          -8.67476852e+02,  2.75825201e+02,  4.88900830e+03],\n",
       "         [ 1.72450872e+04,  1.54678001e+03,  1.53671381e+03, ...,\n",
       "           3.07179288e+02,  3.22633312e+03,  7.67696929e+02],\n",
       "         [ 6.98669472e+03, -1.56668709e+03,  1.21903252e+02, ...,\n",
       "           2.45583711e+02,  6.66510902e+02, -3.58187879e+03]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4bc171d9-1776-4fe9-abc2-2900a106780a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4bc171d9-1776-4fe9-abc2-2900a106780a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (lat: 48, plev: 63, time: 11680, wavenumber: 3)\n",
       "Coordinates:\n",
       "  * time        (time) datetime64[ns] 1979-01-01 1979-01-02 ... 2010-12-31\n",
       "  * plev        (plev) float64 1e+03 925.0 850.0 800.0 ... 0.0015 0.001 0.0007\n",
       "  * lat         (lat) float64 -87.16 -83.48 -79.78 -76.07 ... 79.78 83.48 87.16\n",
       "  * wavenumber  (wavenumber) int64 1 2 3\n",
       "Data variables:\n",
       "    refr_index  (time, wavenumber, plev, lat) float64 1.852e+03 ... -3.582e+03"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sel_var = 'refr_index'\n",
    "what = 'anomalies' # 'absolute'#\n",
    "infile = f'{root_path}{sel_var }/{sel_var}_6hrPlev_CMAM_CMAM30-SD_r1i1p1_19790101-20101231_{what}.nc'\n",
    "ds = xr.open_dataset(infile)\n",
    "ds[sel_var] = ds[sel_var]#*24*3600.\n",
    "ds = ds.resample(time = '1D').mean('time')\n",
    "ds['time'] = ds.indexes['time'].to_datetimeindex()\n",
    "ds['plev'] = ds['plev']/100.\n",
    "ds['plev'].attrs['units'] = 'hPa'\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fdba6bff-34ca-4561-ba98-4a30352047b8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-25T14:29:13.101900Z",
     "iopub.status.busy": "2022-04-25T14:29:13.101382Z",
     "iopub.status.idle": "2022-04-25T14:29:13.111733Z",
     "shell.execute_reply": "2022-04-25T14:29:13.110470Z",
     "shell.execute_reply.started": "2022-04-25T14:29:13.101836Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def tm_mean_xr(x, dims, q = [0.1,0.9]):\n",
    "    qs = x.quantile(q, dim = dims)\n",
    "    return x.where((x > qs.sel(quantile = q[0])) & (x < qs.sel(quantile = q[1]))).mean(dims)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "278cd667-72ea-4dd0-bede-d660894aeb6c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-25T14:29:14.307572Z",
     "iopub.status.busy": "2022-04-25T14:29:14.306809Z",
     "iopub.status.idle": "2022-04-25T14:29:15.338978Z",
     "shell.execute_reply": "2022-04-25T14:29:15.338170Z",
     "shell.execute_reply.started": "2022-04-25T14:29:14.307504Z"
    },
    "tags": []
   },
   "outputs": [
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       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:     (lag: 21, time: 1565, wavenumber: 3, what: 3)\n",
       "Coordinates:\n",
       "  * time        (time) datetime64[ns] 1979-01-06 1979-01-07 ... 2010-12-30\n",
       "  * wavenumber  (wavenumber) int64 1 2 3\n",
       "  * lag         (lag) int64 -10 -9 -8 -7 -6 -5 -4 -3 -2 ... 2 3 4 5 6 7 8 9 10\n",
       "  * what        (what) &lt;U9 &#x27;himalayas&#x27; &#x27;eastasia&#x27; &#x27;westamer&#x27;\n",
       "Data variables:\n",
       "    refr_index  (what, lag, time, wavenumber) float64 -2.349 -2.349 ... -6.39</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4b94d4b2-c35c-41e2-8369-f3d6fdcef4af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b94d4b2-c35c-41e2-8369-f3d6fdcef4af' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lag</span>: 21</li><li><span class='xr-has-index'>time</span>: 1565</li><li><span class='xr-has-index'>wavenumber</span>: 3</li><li><span class='xr-has-index'>what</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5d9677fd-8a15-4111-b415-9eaf472f4a92' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5d9677fd-8a15-4111-b415-9eaf472f4a92' class='xr-section-summary' >Coordinates: <span>(4)</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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-06 ... 2010-12-30</div><input id='attrs-dea168ac-df66-4ccd-afc6-b8d94d3ddb1f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dea168ac-df66-4ccd-afc6-b8d94d3ddb1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1427f8d8-a0a7-4ed8-8e5d-442a4df962fd' class='xr-var-data-in' type='checkbox'><label for='data-1427f8d8-a0a7-4ed8-8e5d-442a4df962fd' 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><div class='xr-var-data'><pre>array([&#x27;1979-01-06T00:00:00.000000000&#x27;, &#x27;1979-01-07T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-01-08T00:00:00.000000000&#x27;, ..., &#x27;2010-12-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-12-29T00:00:00.000000000&#x27;, &#x27;2010-12-30T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wavenumber</span></div><div class='xr-var-dims'>(wavenumber)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-ed6e1cd4-2a1c-4257-a189-8d1dadc8d344' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ed6e1cd4-2a1c-4257-a189-8d1dadc8d344' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4125f92b-15a9-412f-a87e-005e3a55cd39' class='xr-var-data-in' type='checkbox'><label for='data-4125f92b-15a9-412f-a87e-005e3a55cd39' 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><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lag</span></div><div class='xr-var-dims'>(lag)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-10 -9 -8 -7 -6 -5 ... 5 6 7 8 9 10</div><input id='attrs-1ca84038-947b-452f-9f36-bd489fbcdeb3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ca84038-947b-452f-9f36-bd489fbcdeb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66eec30a-0f0d-42f3-b5c7-be2617ecf323' class='xr-var-data-in' type='checkbox'><label for='data-66eec30a-0f0d-42f3-b5c7-be2617ecf323' 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><div class='xr-var-data'><pre>array([-10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,  -2,  -1,   0,   1,   2,   3,\n",
       "         4,   5,   6,   7,   8,   9,  10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>what</span></div><div class='xr-var-dims'>(what)</div><div class='xr-var-dtype'>&lt;U9</div><div class='xr-var-preview xr-preview'>&#x27;himalayas&#x27; &#x27;eastasia&#x27; &#x27;westamer&#x27;</div><input id='attrs-aeb68335-4ba9-4967-af43-df3d80a7a80a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aeb68335-4ba9-4967-af43-df3d80a7a80a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d544796-3d99-4e62-8648-6ff990f0acb4' class='xr-var-data-in' type='checkbox'><label for='data-9d544796-3d99-4e62-8648-6ff990f0acb4' 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><div class='xr-var-data'><pre>array([&#x27;himalayas&#x27;, &#x27;eastasia&#x27;, &#x27;westamer&#x27;], dtype=&#x27;&lt;U9&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bcba685a-a3fd-495a-8077-8a098a34d294' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bcba685a-a3fd-495a-8077-8a098a34d294' class='xr-section-summary' >Data variables: <span>(1)</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>refr_index</span></div><div class='xr-var-dims'>(what, lag, time, wavenumber)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.349 -2.349 ... -6.39 -6.39</div><input id='attrs-b9468d7e-90c3-4f9b-8d34-38ffb9c08a44' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9468d7e-90c3-4f9b-8d34-38ffb9c08a44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94e87536-6685-44aa-b2ae-355a691ca4a1' class='xr-var-data-in' type='checkbox'><label for='data-94e87536-6685-44aa-b2ae-355a691ca4a1' 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><div class='xr-var-data'><pre>array([[[[-2.34936437, -2.34936437, -2.34936437],\n",
       "         [        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan],\n",
       "         ...,\n",
       "         [        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan]],\n",
       "\n",
       "        [[        nan,         nan,         nan],\n",
       "         [-5.86985845, -5.86985845, -5.86985845],\n",
       "         [        nan,         nan,         nan],\n",
       "         ...,\n",
       "         [        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan]],\n",
       "\n",
       "        [[        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan],\n",
       "         [-8.05308585, -8.05308585, -8.05308585],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [-7.19234243, -7.19234243, -7.19234243],\n",
       "         [        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan]],\n",
       "\n",
       "        [[        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan],\n",
       "         ...,\n",
       "         [        nan,         nan,         nan],\n",
       "         [-3.79896176, -3.79896176, -3.79896176],\n",
       "         [        nan,         nan,         nan]],\n",
       "\n",
       "        [[        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan],\n",
       "         ...,\n",
       "         [        nan,         nan,         nan],\n",
       "         [        nan,         nan,         nan],\n",
       "         [-6.39002615, -6.39002615, -6.39002615]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-19792e1a-b337-40cc-aca5-6bf2706f3d5a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-19792e1a-b337-40cc-aca5-6bf2706f3d5a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (lag: 21, time: 1565, wavenumber: 3, what: 3)\n",
       "Coordinates:\n",
       "  * time        (time) datetime64[ns] 1979-01-06 1979-01-07 ... 2010-12-30\n",
       "  * wavenumber  (wavenumber) int64 1 2 3\n",
       "  * lag         (lag) int64 -10 -9 -8 -7 -6 -5 -4 -3 -2 ... 2 3 4 5 6 7 8 9 10\n",
       "  * what        (what) <U9 'himalayas' 'eastasia' 'westamer'\n",
       "Data variables:\n",
       "    refr_index  (what, lag, time, wavenumber) float64 -2.349 -2.349 ... -6.39"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "name_ls = ['himalayas','eastasia','westamer']\n",
    "ds_ls2 = []\n",
    "max_lag = 10\n",
    "g_method = 'dayofyear' # 'month'\n",
    "\n",
    "for name in name_ls:\n",
    "    df_dates = open_date_file(f\"accelogw_{name}_hotspot@70hPa_20dayts_indexes.csv\")\n",
    "    \n",
    "    ds_ls = []\n",
    "    for il, lag in enumerate(range(-max_lag,max_lag+1)):\n",
    "        #print(lag)\n",
    "        dates = df_dates.set_index('BeginDate')\n",
    "\n",
    "        dates = dates.index + pd.Timedelta(str(lag)+' days')\n",
    "        #filter lags withi 29th February\n",
    "        #dates = dates[dates.apply(lambda x: not (x.day in [29] and x.month in [2]))]\n",
    "        dates = dates[~((dates.month == 2) & (dates.day == 29))]\n",
    "        #filter dates shited to year out of range\n",
    "        #dates = dates[dates.apply(lambda x: not (x.year in [1978,2011]))]\n",
    "        dates =  dates[(dates.year != 2011) & (dates.year != 1978)]\n",
    "        dates = dates[(dates.month == 12) | (dates.month == 1) | (dates.month == 2)]\n",
    "        \n",
    "        # plev = [300,200,30,10]\n",
    "        ds_sel_dates = ds.sel(time = dates, \\\n",
    "                              plev = slice(200,70), \\\n",
    "                              lat = slice(35,45))#.mean(['lat','plev']) \n",
    "        temp = tm_mean_xr(ds_sel_dates, ['lat','plev'])#(trim_mean(ds_sel_dates['refr_index'].stack(points = ('lat','plev')).values, 0.1, axis=2)\n",
    "        ds_ls.append(temp)#xr.DataArray(temp, dims = ['wavenumber']))\n",
    "        \n",
    "    temp = xr.concat(ds_ls, dim = 'lag')\n",
    "    temp['lag'] = range(-max_lag, max_lag+1)\n",
    "    ds_ls2.append(temp)\n",
    "    \n",
    "ds_all = xr.concat(ds_ls2, dim = 'what')\n",
    "ds_all['what'] = name_ls\n",
    "ds_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "bde6340e-8030-49a5-aec5-9fc6fed3f5be",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-10-15T16:36:43.751602Z",
     "iopub.status.busy": "2021-10-15T16:36:43.750898Z",
     "iopub.status.idle": "2021-10-15T16:36:44.535017Z",
     "shell.execute_reply": "2021-10-15T16:36:44.534249Z",
     "shell.execute_reply.started": "2021-10-15T16:36:43.751536Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7f65a281fd00>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_all['refr_index'].mean('time').plot(x = 'lag', col = 'what', row = 'wavenumber')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a04ff6db-71c2-411a-b179-f6ba024d3e42",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-25T14:29:43.023675Z",
     "iopub.status.busy": "2022-04-25T14:29:43.023094Z",
     "iopub.status.idle": "2022-04-25T14:29:43.136997Z",
     "shell.execute_reply": "2022-04-25T14:29:43.135876Z",
     "shell.execute_reply.started": "2022-04-25T14:29:43.023608Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>variable</th>\n",
       "      <th>what</th>\n",
       "      <th>lag</th>\n",
       "      <th>wavenumber</th>\n",
       "      <th>refr_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>refr_index</td>\n",
       "      <td>himalayas</td>\n",
       "      <td>-10</td>\n",
       "      <td>1</td>\n",
       "      <td>-2.349364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>refr_index</td>\n",
       "      <td>himalayas</td>\n",
       "      <td>-10</td>\n",
       "      <td>2</td>\n",
       "      <td>-2.349364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>refr_index</td>\n",
       "      <td>himalayas</td>\n",
       "      <td>-10</td>\n",
       "      <td>3</td>\n",
       "      <td>-2.349364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>refr_index</td>\n",
       "      <td>himalayas</td>\n",
       "      <td>-10</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>refr_index</td>\n",
       "      <td>himalayas</td>\n",
       "      <td>-10</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     variable       what  lag  wavenumber  refr_index\n",
       "0  refr_index  himalayas  -10           1   -2.349364\n",
       "1  refr_index  himalayas  -10           2   -2.349364\n",
       "2  refr_index  himalayas  -10           3   -2.349364\n",
       "3  refr_index  himalayas  -10           1         NaN\n",
       "4  refr_index  himalayas  -10           2         NaN"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all = ds_all.to_array().to_dataframe(name = sel_var).reset_index().drop(columns=['time'])#)\n",
    "df_all.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "514c378e-024e-42b0-aa8a-ead9fa9fd4be",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-10-15T16:45:20.151315Z",
     "iopub.status.busy": "2021-10-15T16:45:20.150705Z",
     "iopub.status.idle": "2021-10-15T16:45:20.339331Z",
     "shell.execute_reply": "2021-10-15T16:45:20.338649Z",
     "shell.execute_reply.started": "2021-10-15T16:45:20.151250Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='wavenumber', ylabel='refr_index'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(y = 'refr_index', x = 'wavenumber', data = df_all, showfliers = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2c08060c-f9b8-473a-bccf-b05b95cf47e9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-10-15T16:45:22.050404Z",
     "iopub.status.busy": "2021-10-15T16:45:22.049870Z",
     "iopub.status.idle": "2021-10-15T16:45:22.205966Z",
     "shell.execute_reply": "2021-10-15T16:45:22.205254Z",
     "shell.execute_reply.started": "2021-10-15T16:45:22.050339Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='wavenumber', ylabel='refr_index'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(y = 'refr_index', x = 'wavenumber', data = df_all, showfliers = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c5341dcb-165a-4137-b36d-9243dbede7d6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-10-15T16:45:24.647493Z",
     "iopub.status.busy": "2021-10-15T16:45:24.646999Z",
     "iopub.status.idle": "2021-10-15T16:45:24.831648Z",
     "shell.execute_reply": "2021-10-15T16:45:24.830933Z",
     "shell.execute_reply.started": "2021-10-15T16:45:24.647456Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_all['refr_index'].plot.hist()\n",
    "#plt.ylim(0,100000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "590f25c8-571f-42dd-afb1-1e159bc28712",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-25T14:34:17.273334Z",
     "iopub.status.busy": "2022-04-25T14:34:17.272081Z",
     "iopub.status.idle": "2022-04-25T14:34:22.673133Z",
     "shell.execute_reply": "2022-04-25T14:34:22.672276Z",
     "shell.execute_reply.started": "2022-04-25T14:34:17.273264Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sel_what = 'himalayas'\n",
    "threshold_dict = dict(aspect_ratio = 2.3, \n",
    "                      centroid_latitude = 72,\n",
    "                      uref_ratio = 0.4,\n",
    "                      kurtosis = 1.7,\n",
    "                      objective_area = None)\n",
    "                      \n",
    "mask = (df_all['what'] == sel_what) & (df_all['wavenumber'] == 1) \n",
    "data = df_all[mask]#.drop(columns = '')\n",
    "\n",
    "g = sns.FacetGrid(data,  sharey=True,  height = 4, aspect = 3)#, margin_titles = True) row = 'wavenumber',\n",
    "g.map(sns.lineplot, \"lag\", sel_var, n_boot=10000)\n",
    "g.map(plt.axvline, x=0, c='gray', lw = 2)\n",
    "#g.set(yscale='log')\n",
    "#g.map(plt.axhline, y=0, c='k')\n",
    "g.axes[0][0].xaxis.set_major_locator(MultipleLocator(2))\n",
    "g.axes[0][0].set_ylabel('refr. index')\n",
    "g.axes[0][0].set_xlabel('lag [day]')\n",
    "plt.savefig(f'refr_lagA_composite_CI.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6295f07b-9b6e-4e88-ab5f-9e9ae64c0d17",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-25T14:29:45.884904Z",
     "iopub.status.busy": "2022-04-25T14:29:45.884342Z",
     "iopub.status.idle": "2022-04-25T14:30:00.578939Z",
     "shell.execute_reply": "2022-04-25T14:30:00.577281Z",
     "shell.execute_reply.started": "2022-04-25T14:29:45.884837Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 596.9200000000001, 'lag [day]')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sel_what = 'himalayas'\n",
    "threshold_dict = dict(aspect_ratio = 2.3, \n",
    "                      centroid_latitude = 72,\n",
    "                      uref_ratio = 0.4,\n",
    "                      kurtosis = 1.7,\n",
    "                      objective_area = None)\n",
    "                      \n",
    "mask = (df_all['what'] == sel_what)# & (df_all['wavenumber'] == 1) \n",
    "data = df_all[mask]#.drop(columns = '')\n",
    "\n",
    "g = sns.FacetGrid(data,  sharey=True,  height = 4, aspect = 3, row = 'wavenumber')#, margin_titles = True) row = 'wavenumber',\n",
    "g.map(sns.lineplot, \"lag\", sel_var, n_boot=10000)\n",
    "g.map(plt.axvline, x=0, c='gray', lw = 2)\n",
    "#g.set(yscale='log')\n",
    "#g.map(plt.axhline, y=0, c='k')\n",
    "g.axes[0][0].xaxis.set_major_locator(MultipleLocator(2))\n",
    "g.axes[0][0].set_ylabel('refr. index')\n",
    "g.axes[0][0].set_xlabel('lag [day]')\n",
    "#plt.savefig(f'refr_lagA_composite_CI.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef620bb4-596e-4c34-b994-7aac6d733ff2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "ds_ri_clim = xr.open_dataarray(f'{root_path}refr_index/refr_index_climatology_woSSW.nc')\n",
    "ds_ri_clim['plev'] = ds_ri_clim.plev/100."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8120ccfc-6eaf-4a91-bc38-ad48f775de63",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "levels = np.logspace(1, 3, num = 21)\n",
    "levels[0] = 0.\n",
    "levels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "68b69f99-d8d2-4e5f-9178-c6d221381597",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "p  = ds_ri_clim.sel(month = [11,12,1,2,3], \\\n",
    "               wavenumber = 1, \\\n",
    "               plev = slice(300,10), \n",
    "               lat = slice(0,None)).plot(col = 'month', levels = levels, yincrease = False, \\\n",
    "                                         cmap = 'viridis', extend = 'neither', size = 5)\n",
    "\n",
    "plt.yscale('log')\n",
    "\n",
    "for ax in p.axes.flatten():\n",
    "    ax.axvline(35, color = 'k')\n",
    "    ax.axvline(45, color = 'k')\n",
    "    ax.axhline(70, color = 'k')\n",
    "    ax.axhline(200, color = 'k')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e62137f8-9334-4b43-86d0-035181cd82d7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "ds_ri_clim.sel(month = [12,1,2], \\\n",
    "               wavenumber = 1, \\\n",
    "               plev = 70, \n",
    "               lat = slice(0,None)).plot.line(col = 'month', size = 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f59f5d6f-ccb2-4849-9224-9b987695b2eb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "p  = ds_ri_clim.sel(month = [11,12,1,2,3], \\\n",
    "               wavenumber = 1, \\\n",
    "               plev = slice(300,10), \n",
    "               lat = slice(0,None)).plot.contourf(col = 'month', robust = True, yincrease = False, \\\n",
    "                                         cmap = 'viridis', extend = 'neither', size = 5)\n",
    "\n",
    "plt.yscale('log')\n",
    "\n",
    "for ax in p.axes.flatten():\n",
    "    ax.axvline(35, color = 'k')\n",
    "    ax.axvline(45, color = 'k')\n",
    "    ax.axhline(70, color = 'k')\n",
    "    ax.axhline(200, color = 'k')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d814b125-f6b6-4b05-847f-64f96db376f1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": []
  }
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