013_PFCT_THIESSEN.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a71e689d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "from pfct.Thiessen import thiessen\n",
    "from IPython import display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d5e16096",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.set_printoptions(suppress=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "acb24b5c",
   "metadata": {},
   "source": [
    "### Usando Pluviômetros FUNCEME"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b1800492",
   "metadata": {},
   "outputs": [],
   "source": [
    "# pluviômetros da funceme: https://tinyurl.com/vm8kczbu\n",
    "gauges_file = 'pr_daily_funceme_19730101_20210921.asc'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3b925c16",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ler arquivo de entrada\n",
    "data = np.loadtxt(gauges_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ff108b38",
   "metadata": {},
   "outputs": [],
   "source": [
    "lon = data[:, 1]           # seleciona a coluna das longitudes\n",
    "lat = data[:, 2]           # seleciona a coluna das latitudes\n",
    "pr_daily = data[:, -113:]  # seleciona precipitação obs (2021-06-01 - 2021-09-21)\n",
    "# pr_daily = data[:, 3:]   # seleciona todas as colunas de precipitação obs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c39428af",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "       -7.21925 , -7.174944, -7.07575 , -7.098333, -7.033944, -5.622806,\n",
       "       -6.344917, -6.227083, -4.537028, -7.537167, -6.008583, -4.1685  ,\n",
       "       -4.19675 , -7.297861, -7.633833, -6.889361, -5.097806, -6.988278,\n",
       "       -4.148583, -7.306806, -5.226194, -4.710667, -7.583806, -4.447389,\n",
       "       -6.788556, -4.043028, -6.9865  , -3.411361, -3.648444, -3.914611,\n",
       "       -4.365778, -2.886111, -3.987028, -5.248583])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d39af872",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "       -39.316694, -39.523556, -39.647056, -40.922611, -40.5     ,\n",
       "       -40.25625 , -40.253944, -39.08    , -40.465028, -38.924556,\n",
       "       -38.747944, -38.8855  , -39.466667, -39.25    , -39.731389,\n",
       "       -39.266694, -39.247167, -39.580556, -39.552056, -37.268389,\n",
       "       -38.715444, -37.281833, -37.794583, -38.094583, -37.527083,\n",
       "       -38.215944, -38.889639, -40.316694, -38.515778, -38.360306,\n",
       "       -40.340333, -37.912528, -38.950139, -37.874667, -40.3655  ,\n",
       "       -39.306806, -37.777444, -38.090583, -39.016694, -38.73075 ,\n",
       "       -38.717472, -40.02025 , -39.033306, -39.296361, -40.665167,\n",
       "       -40.615583, -40.555833, -40.467389, -40.397944, -40.390806,\n",
       "       -40.242389, -40.274222, -39.9475  , -40.017861, -38.399944,\n",
       "       -38.491028, -39.14925 , -38.673583, -39.844417, -38.469861,\n",
       "       -40.043278, -40.424611, -39.866139, -40.355611, -38.764278,\n",
       "       -37.476472, -39.033306, -38.737139, -38.867389, -38.534806,\n",
       "       -38.397528, -38.216694, -38.837861, -39.200278, -39.212944,\n",
       "       -38.920139, -38.701583, -38.671722, -40.794722, -38.230889,\n",
       "       -38.876806, -38.970444, -39.520167, -38.772833, -39.066167,\n",
       "       -38.823583, -40.560111, -40.909306, -40.703917, -38.5     ,\n",
       "       -40.116694, -39.795722, -40.411806, -38.889917, -39.440417,\n",
       "       -40.164278, -38.408778, -40.133278, -39.866944, -39.471194,\n",
       "       -38.616694, -39.333306, -39.23125 , -39.183333, -39.683306,\n",
       "       -39.599944, -39.516028, -39.523111, -39.681944, -39.333306,\n",
       "       -39.269306, -39.29675 , -39.430944, -39.580944, -39.762   ,\n",
       "       -40.063083, -40.366694, -40.266694, -40.516694, -40.366694,\n",
       "       -40.827944, -39.416694, -40.963083, -41.062917, -41.063528,\n",
       "       -40.676389, -38.407306, -39.250028, -39.789667, -40.452361,\n",
       "       -41.14075 , -39.385333, -39.994611, -40.052861, -40.277167,\n",
       "       -40.222361, -40.4     , -40.54675 , -40.828972, -40.937639,\n",
       "       -40.733889, -41.1315  , -41.253611, -40.956472, -38.672083,\n",
       "       -40.575861, -40.620417, -40.68875 , -40.178417, -40.320444,\n",
       "       -39.516056, -39.499889, -40.132222, -40.727444, -40.150361,\n",
       "       -40.617611, -40.345306, -40.499111, -40.264222, -40.177667,\n",
       "       -40.211611, -39.604111, -39.691694, -39.478417, -39.176944,\n",
       "       -40.387722, -40.519472, -39.379778, -40.170222, -40.066694,\n",
       "       -40.316667, -40.591111, -40.181444, -40.864667, -40.823056,\n",
       "       -40.753167, -40.798444, -40.972028, -40.518889, -38.85    ,\n",
       "       -41.097472, -40.6635  , -40.1585  , -40.593139, -40.917306,\n",
       "       -40.85575 , -40.63625 , -38.65    , -38.9     , -38.466278,\n",
       "       -40.57425 , -40.711444, -37.842361, -40.542917, -40.296389,\n",
       "       -38.034333, -38.413194, -39.581861, -40.35    , -40.482528,\n",
       "       -39.323028, -38.243694, -38.185194, -39.805222, -38.291639,\n",
       "       -38.393333, -40.43325 , -38.725667, -39.598333, -39.482222,\n",
       "       -39.345944, -39.193944, -38.752111, -40.335833, -40.3495  ,\n",
       "       -38.609778, -40.187361, -39.930833, -40.491194, -39.327028,\n",
       "       -38.624111, -39.316611, -39.350833, -39.011306, -38.585333,\n",
       "       -38.943111, -38.967111, -39.185639, -39.642278, -39.173056,\n",
       "       -40.318   , -39.525472, -40.295167, -39.379806, -39.163417,\n",
       "       -40.580667, -38.540667, -38.250333, -38.320972, -38.411528,\n",
       "       -38.274444, -38.312139, -39.154917, -38.151556, -40.354833,\n",
       "       -38.67825 , -38.643222, -39.058472, -39.267222, -38.625389,\n",
       "       -39.776861, -39.904917, -38.812722, -40.514167, -40.032778,\n",
       "       -38.874722, -39.048   , -38.799667, -39.069722, -38.980111,\n",
       "       -39.717417, -38.842389, -38.937389, -39.060583, -38.351194,\n",
       "       -38.090333, -40.733806, -39.351028, -40.507333, -40.7075  ,\n",
       "       -39.704778, -41.020778, -39.54575 , -39.787333, -38.658361,\n",
       "       -38.729556, -38.941472, -39.719528, -39.445861, -39.197278,\n",
       "       -39.3645  , -38.645056, -39.995944, -39.480417, -40.361333,\n",
       "       -38.870472, -39.5985  , -41.055556, -38.518833, -38.558639,\n",
       "       -39.576139, -39.600667, -38.806806, -39.108667, -39.041944,\n",
       "       -39.51725 , -39.426306, -40.403833, -40.680917, -39.261667,\n",
       "       -38.491722, -38.844833, -38.931639, -40.533139, -40.792917,\n",
       "       -38.941583, -37.839361, -37.885139, -38.091333, -40.272611,\n",
       "       -40.498083, -40.33625 , -39.902139, -40.089111, -40.049472,\n",
       "       -38.272667, -40.06975 , -39.850472, -38.914556, -39.263444,\n",
       "       -40.791611, -39.457222, -39.56125 , -40.304028, -39.216444,\n",
       "       -39.225306, -40.229361, -40.354806, -40.861833, -39.769889,\n",
       "       -40.808278, -40.672389, -39.316194, -38.988222, -38.854722,\n",
       "       -40.886111, -39.68    , -39.997861, -39.36825 , -40.948056,\n",
       "       -40.052889, -40.173056, -40.987389, -38.222   ])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fcd96f15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(634, 113)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_daily.shape  # pluviômetros x tempo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f2f1677d",
   "metadata": {},
   "outputs": [],
   "source": [
    "pr_daily[pr_daily == -999.] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "50d6d8f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "pr_daily_ce = thiessen(\n",
    "    pr_daily,\n",
    "    lat,\n",
    "    lon,\n",
    "    'pontos_ce.txt',\n",
    "    pf=-1,\n",
    "    sp=',',\n",
    "    num_proc=2,\n",
    "    figname='ce_thi.png')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8f7b5bb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 11,
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display.Image('0_ce_thi.png', width=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83afd028",
   "metadata": {},
   "source": [
    "### Criar um novo DataArray para continuar sua análise ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "da4abdc0",
   "metadata": {},
   "outputs": [],
   "source": [
    "date_range = pd.date_range('2021-06-01', '2021-09-21', freq='D')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "92a8ad77",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Não tem lat e lon pois é média ponderada sobre o Ceará\n",
    "da = xr.DataArray(\n",
    "    pr_daily_ce,\n",
    "    coords=[date_range],\n",
    "    dims=['time'],\n",
    "    name='pr'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "450e3164",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\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.DataArray &#x27;pr&#x27; (time: 113)&gt;\n",
       "array([ 1.16206199,  0.40220704,  0.00710346,  0.01417088,  0.        ,\n",
       "        0.05434495,  0.26987746,  0.72447605,  1.4275072 ,  1.74800551,\n",
       "        0.15618948,  0.63639947,  1.11640072,  0.45746831,  0.15952731,\n",
       "        0.61778368,  0.32491831,  4.11176688,  2.25069103,  0.13594917,\n",
       "        0.05148535,  0.08699253,  0.02611545,  0.14663501,  0.01987093,\n",
       "        0.00044177,  0.03691747,  0.03784965,  0.11409817,  0.14658566,\n",
       "        0.45144895, 15.42304835,  1.80612219,  2.25481515,  0.28890548,\n",
       "        0.05641062,  0.01069524,  0.00308519,  0.00379351,  0.00071968,\n",
       "        0.3614642 ,  0.03448856,  0.05198235,  0.        ,  0.0132376 ,\n",
       "        0.02305965,  0.12676546,  0.18230224,  0.07896925,  0.18930894,\n",
       "        0.0887502 ,  0.03400244,  0.        ,  0.00309695,  0.        ,\n",
       "        0.01504145,  0.00673682,  0.00116128,  0.00056862,  0.11968085,\n",
       "        0.        ,  0.00241424,  0.02350376,  0.        ,  0.00696062,\n",
       "        0.01572684,  0.        ,  0.        ,  0.00252292,  0.        ,\n",
       "        0.11475387,  0.00522465,  0.02081306,  0.02954041,  0.00144361,\n",
       "        0.01418553,  0.09919133,  0.29872617,  0.        ,  0.        ,\n",
       "        0.01011514,  0.00294948,  0.        ,  0.        ,  0.05710613,\n",
       "        0.0083171 ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.00851132,  0.00567421,\n",
       "        0.0037626 ,  0.        ,  0.        ,  0.01533348,  0.00356467,\n",
       "        0.        ,  0.        ,  0.00231385,  0.        ,  0.        ,\n",
       "        0.        ,  0.45523451,  0.06934399,  0.44115237,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ])\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-06-01 2021-06-02 ... 2021-09-21</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 113</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2bb2baf9-6c07-40a0-8501-469b44673054' class='xr-array-in' type='checkbox' checked><label for='section-2bb2baf9-6c07-40a0-8501-469b44673054' 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>1.162 0.4022 0.007103 0.01417 0.0 0.05434 ... 0.4412 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([ 1.16206199,  0.40220704,  0.00710346,  0.01417088,  0.        ,\n",
       "        0.05434495,  0.26987746,  0.72447605,  1.4275072 ,  1.74800551,\n",
       "        0.15618948,  0.63639947,  1.11640072,  0.45746831,  0.15952731,\n",
       "        0.61778368,  0.32491831,  4.11176688,  2.25069103,  0.13594917,\n",
       "        0.05148535,  0.08699253,  0.02611545,  0.14663501,  0.01987093,\n",
       "        0.00044177,  0.03691747,  0.03784965,  0.11409817,  0.14658566,\n",
       "        0.45144895, 15.42304835,  1.80612219,  2.25481515,  0.28890548,\n",
       "        0.05641062,  0.01069524,  0.00308519,  0.00379351,  0.00071968,\n",
       "        0.3614642 ,  0.03448856,  0.05198235,  0.        ,  0.0132376 ,\n",
       "        0.02305965,  0.12676546,  0.18230224,  0.07896925,  0.18930894,\n",
       "        0.0887502 ,  0.03400244,  0.        ,  0.00309695,  0.        ,\n",
       "        0.01504145,  0.00673682,  0.00116128,  0.00056862,  0.11968085,\n",
       "        0.        ,  0.00241424,  0.02350376,  0.        ,  0.00696062,\n",
       "        0.01572684,  0.        ,  0.        ,  0.00252292,  0.        ,\n",
       "        0.11475387,  0.00522465,  0.02081306,  0.02954041,  0.00144361,\n",
       "        0.01418553,  0.09919133,  0.29872617,  0.        ,  0.        ,\n",
       "        0.01011514,  0.00294948,  0.        ,  0.        ,  0.05710613,\n",
       "        0.0083171 ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.00851132,  0.00567421,\n",
       "        0.0037626 ,  0.        ,  0.        ,  0.01533348,  0.00356467,\n",
       "        0.        ,  0.        ,  0.00231385,  0.        ,  0.        ,\n",
       "        0.        ,  0.45523451,  0.06934399,  0.44115237,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ])</pre></div></div></li><li class='xr-section-item'><input id='section-fbe3f737-d900-408f-9f1b-e758146dc023' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fbe3f737-d900-408f-9f1b-e758146dc023' 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'>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'>2021-06-01 ... 2021-09-21</div><input id='attrs-8627b74b-b406-4d46-a766-7452e6a36144' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8627b74b-b406-4d46-a766-7452e6a36144' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-293d4609-37d6-43ad-b981-8e98ee147a3f' class='xr-var-data-in' type='checkbox'><label for='data-293d4609-37d6-43ad-b981-8e98ee147a3f' 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;2021-06-01T00:00:00.000000000&#x27;, &#x27;2021-06-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-03T00:00:00.000000000&#x27;, &#x27;2021-06-04T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-05T00:00:00.000000000&#x27;, &#x27;2021-06-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-07T00:00:00.000000000&#x27;, &#x27;2021-06-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-09T00:00:00.000000000&#x27;, &#x27;2021-06-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-11T00:00:00.000000000&#x27;, &#x27;2021-06-12T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-13T00:00:00.000000000&#x27;, &#x27;2021-06-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-15T00:00:00.000000000&#x27;, &#x27;2021-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-17T00:00:00.000000000&#x27;, &#x27;2021-06-18T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-19T00:00:00.000000000&#x27;, &#x27;2021-06-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-21T00:00:00.000000000&#x27;, &#x27;2021-06-22T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-23T00:00:00.000000000&#x27;, &#x27;2021-06-24T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-25T00:00:00.000000000&#x27;, &#x27;2021-06-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-27T00:00:00.000000000&#x27;, &#x27;2021-06-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-06-29T00:00:00.000000000&#x27;, &#x27;2021-06-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-01T00:00:00.000000000&#x27;, &#x27;2021-07-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-03T00:00:00.000000000&#x27;, &#x27;2021-07-04T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-05T00:00:00.000000000&#x27;, &#x27;2021-07-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-07T00:00:00.000000000&#x27;, &#x27;2021-07-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-09T00:00:00.000000000&#x27;, &#x27;2021-07-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-11T00:00:00.000000000&#x27;, &#x27;2021-07-12T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-13T00:00:00.000000000&#x27;, &#x27;2021-07-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-15T00:00:00.000000000&#x27;, &#x27;2021-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-17T00:00:00.000000000&#x27;, &#x27;2021-07-18T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-19T00:00:00.000000000&#x27;, &#x27;2021-07-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-21T00:00:00.000000000&#x27;, &#x27;2021-07-22T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-23T00:00:00.000000000&#x27;, &#x27;2021-07-24T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-25T00:00:00.000000000&#x27;, &#x27;2021-07-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-27T00:00:00.000000000&#x27;, &#x27;2021-07-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-29T00:00:00.000000000&#x27;, &#x27;2021-07-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-31T00:00:00.000000000&#x27;, &#x27;2021-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-02T00:00:00.000000000&#x27;, &#x27;2021-08-03T00:00:00.000000000&#x27;,\n",
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       "       &#x27;2021-08-22T00:00:00.000000000&#x27;, &#x27;2021-08-23T00:00:00.000000000&#x27;,\n",
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       "       &#x27;2021-08-26T00:00:00.000000000&#x27;, &#x27;2021-08-27T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-28T00:00:00.000000000&#x27;, &#x27;2021-08-29T00:00:00.000000000&#x27;,\n",
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       "       &#x27;2021-09-17T00:00:00.000000000&#x27;, &#x27;2021-09-18T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-09-19T00:00:00.000000000&#x27;, &#x27;2021-09-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-09-21T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-978aea72-2a8d-4de5-a9be-a7d8e46d2609' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-978aea72-2a8d-4de5-a9be-a7d8e46d2609' 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 'pr' (time: 113)>\n",
       "array([ 1.16206199,  0.40220704,  0.00710346,  0.01417088,  0.        ,\n",
       "        0.05434495,  0.26987746,  0.72447605,  1.4275072 ,  1.74800551,\n",
       "        0.15618948,  0.63639947,  1.11640072,  0.45746831,  0.15952731,\n",
       "        0.61778368,  0.32491831,  4.11176688,  2.25069103,  0.13594917,\n",
       "        0.05148535,  0.08699253,  0.02611545,  0.14663501,  0.01987093,\n",
       "        0.00044177,  0.03691747,  0.03784965,  0.11409817,  0.14658566,\n",
       "        0.45144895, 15.42304835,  1.80612219,  2.25481515,  0.28890548,\n",
       "        0.05641062,  0.01069524,  0.00308519,  0.00379351,  0.00071968,\n",
       "        0.3614642 ,  0.03448856,  0.05198235,  0.        ,  0.0132376 ,\n",
       "        0.02305965,  0.12676546,  0.18230224,  0.07896925,  0.18930894,\n",
       "        0.0887502 ,  0.03400244,  0.        ,  0.00309695,  0.        ,\n",
       "        0.01504145,  0.00673682,  0.00116128,  0.00056862,  0.11968085,\n",
       "        0.        ,  0.00241424,  0.02350376,  0.        ,  0.00696062,\n",
       "        0.01572684,  0.        ,  0.        ,  0.00252292,  0.        ,\n",
       "        0.11475387,  0.00522465,  0.02081306,  0.02954041,  0.00144361,\n",
       "        0.01418553,  0.09919133,  0.29872617,  0.        ,  0.        ,\n",
       "        0.01011514,  0.00294948,  0.        ,  0.        ,  0.05710613,\n",
       "        0.0083171 ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.00851132,  0.00567421,\n",
       "        0.0037626 ,  0.        ,  0.        ,  0.01533348,  0.00356467,\n",
       "        0.        ,  0.        ,  0.00231385,  0.        ,  0.        ,\n",
       "        0.        ,  0.45523451,  0.06934399,  0.44115237,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ])\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-06-01 2021-06-02 ... 2021-09-21"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60d09abc",
   "metadata": {},
   "source": [
    "### Usando NetCDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8a564a6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "nc_file = 'RSM97.PLEV.202103.DAILY.nc'  # diário"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3b24f2ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "with xr.open_dataset(nc_file) as dset:\n",
    "#   print(dset)\n",
    "    pr_model = dset['pcp'].values\n",
    "    lat = dset['latitude'].values\n",
    "    lon = dset['longitude'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c7ff0b44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(31, 72, 109)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_model.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "43d23420",
   "metadata": {},
   "outputs": [],
   "source": [
    "pr_daily_ce = thiessen(\n",
    "    pr_model,\n",
    "    lat,\n",
    "    lon,\n",
    "    'pontos_ce.txt',\n",
    "    pf=-1,\n",
    "    sp=',',\n",
    "    num_proc=2,\n",
    "    usenc=True,\n",
    "    figname='ce_thi_model.png')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5fc70b77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.04407808,  0.21916888,  2.4019312 ,  8.14629976,  0.44212285,\n",
       "        0.20539308,  1.22867887,  0.39941573,  0.60872421,  0.4916589 ,\n",
       "        0.18119865,  0.        ,  0.05093205,  0.00759205,  0.        ,\n",
       "        0.        ,  0.11395332,  1.39806205,  0.50487623,  0.0074327 ,\n",
       "        0.59340757,  0.00181451,  2.78464756,  8.01657423,  6.92792686,\n",
       "       18.58633689, 11.96560512,  6.02198639,  1.69874656,  0.        ,\n",
       "        1.88522041])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DICA: Criar um novo DataArray com esse Numpy Array...\n",
    "pr_daily_ce"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "788e8219",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 20,
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display.Image('0_ce_thi_model.png', width=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef89c448",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}