section7_regression.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Regression\n",
    "\n",
    "$$\n",
    "\n",
    "y = a x + b\n",
    "\n",
    "$$\n",
    "\n",
    "y: 降水 mm/day\n",
    "\n",
    "x: Nino3.4 Index (K)\n",
    "\n",
    "a的单位：mm/day/K"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import sacpy as scp # pip install sacpy\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Nino3.4\n",
    "\n",
    "sst = xr.open_dataset(\"../DATA/HadISST_sst_2x2.nc\")['sst']\n",
    "\n",
    "\n",
    "sst = xr.where(np.abs(sst)>100,np.NAN,sst)\n",
    "\n",
    "\n",
    "ssta = sst.groupby(\"time.month\") - sst.groupby(\"time.month\").mean()\n",
    "\n",
    "nino34 = ssta.loc[\"1980\":\"2015\",-5:5,190:240].mean((\"lon\",\"lat\"))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x15baf3d30>]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nino34.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "sstas = ssta.loc[\"1980\":\"2015\"]\n",
    "lin = scp.LinReg(x=nino34,y=sstas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sacpy.LinReg.LinReg"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(lin)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x15bdb9460>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lin.slope.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x167fa28b0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lin.corr.plot() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x16809c1f0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lin.slope.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.contour.QuadContourSet at 0x16814b820>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lin.p_value.plot.contourf(cmap=\"RdBu_r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".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-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\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",
       ".xr-index-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",
       ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-no-icon {\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.DataArray (lat: 90, lon: 180)&gt;\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -89.0 -87.0 -85.0 -83.0 -81.0 ... 83.0 85.0 87.0 89.0\n",
       "  * lon      (lon) float64 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-875f4a63-7bfc-4cf4-84fd-8fca5af3c71a' class='xr-array-in' type='checkbox' checked><label for='section-875f4a63-7bfc-4cf4-84fd-8fca5af3c71a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-50ea5c4c-86dd-41ee-b9b5-c7c867c03b18' class='xr-section-summary-in' type='checkbox'  checked><label for='section-50ea5c4c-86dd-41ee-b9b5-c7c867c03b18' class='xr-section-summary' >Coordinates: <span>(2)</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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-de2b91ac-1f6c-429f-bf3c-13fe16c884d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de2b91ac-1f6c-429f-bf3c-13fe16c884d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-636d49a3-53b4-49e8-b989-de660bb85237' class='xr-var-data-in' type='checkbox'><label for='data-636d49a3-53b4-49e8-b989-de660bb85237' 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([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-e3681552-b74f-4789-863d-7225957a1cb5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3681552-b74f-4789-863d-7225957a1cb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a7496b4-6c3e-49c7-8e9e-1ca53f8f946a' class='xr-var-data-in' type='checkbox'><label for='data-3a7496b4-6c3e-49c7-8e9e-1ca53f8f946a' 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([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,\n",
       "        24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,\n",
       "        48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,\n",
       "        72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,\n",
       "        96.,  98., 100., 102., 104., 106., 108., 110., 112., 114., 116., 118.,\n",
       "       120., 122., 124., 126., 128., 130., 132., 134., 136., 138., 140., 142.,\n",
       "       144., 146., 148., 150., 152., 154., 156., 158., 160., 162., 164., 166.,\n",
       "       168., 170., 172., 174., 176., 178., 180., 182., 184., 186., 188., 190.,\n",
       "       192., 194., 196., 198., 200., 202., 204., 206., 208., 210., 212., 214.,\n",
       "       216., 218., 220., 222., 224., 226., 228., 230., 232., 234., 236., 238.,\n",
       "       240., 242., 244., 246., 248., 250., 252., 254., 256., 258., 260., 262.,\n",
       "       264., 266., 268., 270., 272., 274., 276., 278., 280., 282., 284., 286.,\n",
       "       288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,\n",
       "       312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,\n",
       "       336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b84234e9-7b83-4298-84c4-db73739e8a7c' class='xr-section-summary-in' type='checkbox'  ><label for='section-b84234e9-7b83-4298-84c4-db73739e8a7c' class='xr-section-summary' >Indexes: <span>(2)</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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8f50b593-829a-46c7-9ea7-852cec846c0e' class='xr-index-data-in' type='checkbox'/><label for='index-8f50b593-829a-46c7-9ea7-852cec846c0e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-89.0, -87.0, -85.0, -83.0, -81.0, -79.0, -77.0, -75.0, -73.0,\n",
       "              -71.0, -69.0, -67.0, -65.0, -63.0, -61.0, -59.0, -57.0, -55.0,\n",
       "              -53.0, -51.0, -49.0, -47.0, -45.0, -43.0, -41.0, -39.0, -37.0,\n",
       "              -35.0, -33.0, -31.0, -29.0, -27.0, -25.0, -23.0, -21.0, -19.0,\n",
       "              -17.0, -15.0, -13.0, -11.0,  -9.0,  -7.0,  -5.0,  -3.0,  -1.0,\n",
       "                1.0,   3.0,   5.0,   7.0,   9.0,  11.0,  13.0,  15.0,  17.0,\n",
       "               19.0,  21.0,  23.0,  25.0,  27.0,  29.0,  31.0,  33.0,  35.0,\n",
       "               37.0,  39.0,  41.0,  43.0,  45.0,  47.0,  49.0,  51.0,  53.0,\n",
       "               55.0,  57.0,  59.0,  61.0,  63.0,  65.0,  67.0,  69.0,  71.0,\n",
       "               73.0,  75.0,  77.0,  79.0,  81.0,  83.0,  85.0,  87.0,  89.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9b042c45-10f7-4969-9429-2d024778c4e4' class='xr-index-data-in' type='checkbox'/><label for='index-9b042c45-10f7-4969-9429-2d024778c4e4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,\n",
       "               18.0,\n",
       "              ...\n",
       "              340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0,\n",
       "              358.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-320215bb-f76e-4148-95d3-581dfc9267d2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-320215bb-f76e-4148-95d3-581dfc9267d2' 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.DataArray (lat: 90, lon: 180)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -89.0 -87.0 -85.0 -83.0 -81.0 ... 83.0 85.0 87.0 89.0\n",
       "  * lon      (lon) float64 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lin.slope"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.contour.GeoContourSet at 0x169b7d730>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
    "from matplotlib.ticker import MultipleLocator\n",
    "\n",
    "x = ssta.lon\n",
    "y = ssta.lat\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection=ccrs.PlateCarree(central_longitude=180))\n",
    "m = ax.contourf(x, y, lin.slope, cmap=\"RdBu_r\", transform=ccrs.PlateCarree(),levels=np.linspace(-1.2,1.2,15),extend=\"both\")\n",
    "cb = plt.colorbar(m, orientation=\"horizontal\", shrink=0.8)\n",
    "cb.set_label(\"slope (K/K)\")\n",
    "ax.coastlines()\n",
    "xticks = np.arange(0, 361, 60)\n",
    "yticks = np.arange(-80, 81, 40)\n",
    "ax.set_xticks(xticks, crs=ccrs.PlateCarree())\n",
    "ax.set_yticks(yticks)\n",
    "ax.yaxis.set_major_formatter(LatitudeFormatter())\n",
    "ax.xaxis.set_major_formatter(LongitudeFormatter())\n",
    "smallx = 10\n",
    "smally = 5\n",
    "ax.xaxis.set_minor_locator(MultipleLocator(smallx))\n",
    "ax.yaxis.set_minor_locator(MultipleLocator(smally))\n",
    "# res = ax.contourf(x,\n",
    "#            y,\n",
    "#            lin.p_value,\n",
    "#            levels=[0, 0.05, 1],\n",
    "#         #    zorder=1, # 优先级 \n",
    "#            hatches=[\"..\", None],\n",
    "#            colors=\"None\",\n",
    "#            transform=ccrs.PlateCarree()) #\n",
    "\n",
    "# for collection in res.collections:\n",
    "#     collection.set_linewidth(0.)\n",
    "#     collection.set_edgecolor(\"green\")\n",
    "import sacpy.Map # \n",
    "ax.sig_plot(x,y,lin.p_value,thrshd=0.05,marker=\"..\",color=\"green\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       ".xr-array-wrap {\n",
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       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
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       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
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       "\n",
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       "  background-color: var(--xr-background-color-row-even);\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
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       "\n",
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       "\n",
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       ".xr-index-data,\n",
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       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "  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",
       ".xr-no-icon {\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.DataArray &#x27;lat&#x27; (lat: 90)&gt;\n",
       "array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
       "        79.,  81.,  83.,  85.,  87.,  89.])\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -89.0 -87.0 -85.0 -83.0 -81.0 ... 83.0 85.0 87.0 89.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lat'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 90</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-21fca138-7cf7-40b2-82c2-3f5923e411ca' class='xr-array-in' type='checkbox' checked><label for='section-21fca138-7cf7-40b2-82c2-3f5923e411ca' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-89.0 -87.0 -85.0 -83.0 -81.0 -79.0 ... 79.0 81.0 83.0 85.0 87.0 89.0</span></div><div class='xr-array-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></div></li><li class='xr-section-item'><input id='section-dd46b950-91ac-45d2-8d5e-e339a9515ae7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dd46b950-91ac-45d2-8d5e-e339a9515ae7' class='xr-section-summary' >Coordinates: <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 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'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-6b5df384-3326-443b-becd-d3155f193aaf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b5df384-3326-443b-becd-d3155f193aaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9eb8e6b1-afd1-4d50-8911-441c37c23f97' class='xr-var-data-in' type='checkbox'><label for='data-9eb8e6b1-afd1-4d50-8911-441c37c23f97' 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([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1517b873-d986-4fed-b0d8-5c29833d897e' class='xr-section-summary-in' type='checkbox'  ><label for='section-1517b873-d986-4fed-b0d8-5c29833d897e' class='xr-section-summary' >Indexes: <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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f661379c-c0b4-4b0f-807c-c388df126878' class='xr-index-data-in' type='checkbox'/><label for='index-f661379c-c0b4-4b0f-807c-c388df126878' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-89.0, -87.0, -85.0, -83.0, -81.0, -79.0, -77.0, -75.0, -73.0,\n",
       "              -71.0, -69.0, -67.0, -65.0, -63.0, -61.0, -59.0, -57.0, -55.0,\n",
       "              -53.0, -51.0, -49.0, -47.0, -45.0, -43.0, -41.0, -39.0, -37.0,\n",
       "              -35.0, -33.0, -31.0, -29.0, -27.0, -25.0, -23.0, -21.0, -19.0,\n",
       "              -17.0, -15.0, -13.0, -11.0,  -9.0,  -7.0,  -5.0,  -3.0,  -1.0,\n",
       "                1.0,   3.0,   5.0,   7.0,   9.0,  11.0,  13.0,  15.0,  17.0,\n",
       "               19.0,  21.0,  23.0,  25.0,  27.0,  29.0,  31.0,  33.0,  35.0,\n",
       "               37.0,  39.0,  41.0,  43.0,  45.0,  47.0,  49.0,  51.0,  53.0,\n",
       "               55.0,  57.0,  59.0,  61.0,  63.0,  65.0,  67.0,  69.0,  71.0,\n",
       "               73.0,  75.0,  77.0,  79.0,  81.0,  83.0,  85.0,  87.0,  89.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-23c9660e-b97b-4604-b1af-f2148c9adc2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-23c9660e-b97b-4604-b1af-f2148c9adc2f' 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.DataArray 'lat' (lat: 90)>\n",
       "array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
       "        79.,  81.,  83.,  85.,  87.,  89.])\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -89.0 -87.0 -85.0 -83.0 -81.0 ... 83.0 85.0 87.0 89.0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
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   "source": [
    "## Homework\n",
    "\n",
    "计算Nino3.4指数（x）与全球500hPa位势高度（y）的斜率，并把显著性大于0.9的地方打点。\n",
    "说出这个斜率代表的物理意义。\n",
    "搜索相关系数的定义，并画出Nino3.4指数与500hPa位势高度（y）相关系数，并把显著性大于0.9的地方打点。"
   ]
  },
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