{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "62ad30ef",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-23T22:54:51.187773Z",
     "start_time": "2022-12-23T22:54:51.185601Z"
    }
   },
   "outputs": [],
   "source": [
    "# Source of data:\n",
    "# National Centers for Environmental Information (NCEI)\n",
    "# Global Surface Summary of the Day - GSOD\n",
    "# https://www.ncei.noaa.gov\n",
    "# https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00516"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4482b3ce",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-23T22:54:58.689419Z",
     "start_time": "2022-12-23T22:54:58.521671Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "path = '/bog/amuttaqin/Datasets/GroundObs/'\n",
    "stid = '960010_Sabang-CutBau.csv'\n",
    "\n",
    "df = pd.read_csv(path+stid, index_col=0)\n",
    "df['Date'] = pd.to_datetime(df.Date)\n",
    "data = df.reset_index(drop=True).set_index('Date', drop=True).copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7cdb65ac",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-23T22:55:01.820359Z",
     "start_time": "2022-12-23T22:55:01.803915Z"
    }
   },
   "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>Temp_max_C</th>\n",
       "      <th>Temp_min_C</th>\n",
       "      <th>Temp_mean_C</th>\n",
       "      <th>Rel_Hum</th>\n",
       "      <th>Prec_mm</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2001-01-01</th>\n",
       "      <td>29.0</td>\n",
       "      <td>20.6</td>\n",
       "      <td>27.0</td>\n",
       "      <td>78.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-02</th>\n",
       "      <td>28.6</td>\n",
       "      <td>20.8</td>\n",
       "      <td>26.1</td>\n",
       "      <td>85.3</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-03</th>\n",
       "      <td>29.8</td>\n",
       "      <td>25.2</td>\n",
       "      <td>26.9</td>\n",
       "      <td>81.4</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-04</th>\n",
       "      <td>29.8</td>\n",
       "      <td>21.4</td>\n",
       "      <td>26.6</td>\n",
       "      <td>77.6</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-05</th>\n",
       "      <td>28.2</td>\n",
       "      <td>22.0</td>\n",
       "      <td>26.3</td>\n",
       "      <td>77.1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-27</th>\n",
       "      <td>30.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>26.8</td>\n",
       "      <td>86.2</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-28</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-29</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7305 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Temp_max_C  Temp_min_C  Temp_mean_C  Rel_Hum  Prec_mm\n",
       "Date                                                             \n",
       "2001-01-01        29.0        20.6         27.0     78.8      NaN\n",
       "2001-01-02        28.6        20.8         26.1     85.3      0.0\n",
       "2001-01-03        29.8        25.2         26.9     81.4      0.0\n",
       "2001-01-04        29.8        21.4         26.6     77.6      0.0\n",
       "2001-01-05        28.2        22.0         26.3     77.1      0.0\n",
       "...                ...         ...          ...      ...      ...\n",
       "2020-12-27        30.0        24.0         26.8     86.2     11.9\n",
       "2020-12-28         NaN         NaN          NaN      NaN      NaN\n",
       "2020-12-29         NaN         NaN          NaN      NaN      NaN\n",
       "2020-12-30         NaN         NaN          NaN      NaN      NaN\n",
       "2020-12-31         NaN         NaN          NaN      NaN      NaN\n",
       "\n",
       "[7305 rows x 5 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8d363534",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-23T22:55:06.453444Z",
     "start_time": "2022-12-23T22:55:05.615727Z"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.pyplot import figure\n",
    "import matplotlib.dates as mdates\n",
    "\n",
    "font = {'family': 'serif',\n",
    "        'color' : 'black', \n",
    "        'weight': 'normal', \n",
    "        'size'  : 16}\n",
    "\n",
    "dp = data.loc['2013-01-01':'2015-01-01']\n",
    "\n",
    "plt.figure(figsize=(10,5), dpi=100)\n",
    "\n",
    "x = dp.index\n",
    "y = dp.Prec_mm\n",
    "plt.plot(x, y, 'b')\n",
    "\n",
    "plt.xticks(x[::182])\n",
    "plt.xticks(fontsize=12)\n",
    "\n",
    "plt.yticks(fontsize=12)\n",
    "plt.ylabel('Precipitation (mm)', fontdict=font)\n",
    "\n",
    "plt.title('Ground Obs. Precipitation: '+stid[:-4], fontsize=16, fontname='Serif')\n",
    "\n",
    "plt.rcParams['axes.facecolor']='white'\n",
    "plt.rcParams['savefig.facecolor']='white'\n",
    "\n",
    "plt.savefig('/bog/amuttaqin/Chapter3_MJO/groundobs_'+stid[:-4]+'.png', dpi=150, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "56248679",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-23T22:55:12.301819Z",
     "start_time": "2022-12-23T22:55:12.299684Z"
    }
   },
   "outputs": [],
   "source": [
    "# Original data\n",
    "# data.Prec_mm.loc['2004-12']\n",
    "\n",
    "# Calculate daily climatology\n",
    "# data.groupby(lambda x: x.dayofyear).mean().Prec_mm.tail(n=30)\n",
    "\n",
    "# Calculate daily anomaly\n",
    "# data.groupby(lambda x: x.dayofyear).transform(lambda x: x-x.mean()).Prec_mm.loc['2004-12']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "67723085",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-23T22:56:42.194577Z",
     "start_time": "2022-12-23T22:56:41.427119Z"
    }
   },
   "outputs": [],
   "source": [
    "clim = data.groupby(lambda x: x.dayofyear).mean()\n",
    "anom = data.groupby(lambda x: x.dayofyear).transform(lambda x: x-x.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c7ff3c57",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-23T22:56:45.704253Z",
     "start_time": "2022-12-23T22:56:45.694808Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temp_max_C</th>\n",
       "      <th>Temp_min_C</th>\n",
       "      <th>Temp_mean_C</th>\n",
       "      <th>Rel_Hum</th>\n",
       "      <th>Prec_mm</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2001-01-01</th>\n",
       "      <td>-0.610526</td>\n",
       "      <td>-0.836842</td>\n",
       "      <td>0.110526</td>\n",
       "      <td>-6.821053</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-02</th>\n",
       "      <td>-0.980000</td>\n",
       "      <td>-0.910000</td>\n",
       "      <td>-0.265000</td>\n",
       "      <td>-2.195000</td>\n",
       "      <td>-8.257895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-03</th>\n",
       "      <td>0.745000</td>\n",
       "      <td>3.350000</td>\n",
       "      <td>0.740000</td>\n",
       "      <td>-6.450000</td>\n",
       "      <td>-7.752632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-04</th>\n",
       "      <td>0.073684</td>\n",
       "      <td>-0.447368</td>\n",
       "      <td>0.257895</td>\n",
       "      <td>-9.557895</td>\n",
       "      <td>-7.742105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-05</th>\n",
       "      <td>-1.050000</td>\n",
       "      <td>0.055000</td>\n",
       "      <td>-0.285000</td>\n",
       "      <td>-9.115000</td>\n",
       "      <td>-8.847368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-27</th>\n",
       "      <td>1.020000</td>\n",
       "      <td>2.126667</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>-1.900000</td>\n",
       "      <td>-1.178571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-28</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-29</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7305 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Temp_max_C  Temp_min_C  Temp_mean_C   Rel_Hum   Prec_mm\n",
       "Date                                                               \n",
       "2001-01-01   -0.610526   -0.836842     0.110526 -6.821053       NaN\n",
       "2001-01-02   -0.980000   -0.910000    -0.265000 -2.195000 -8.257895\n",
       "2001-01-03    0.745000    3.350000     0.740000 -6.450000 -7.752632\n",
       "2001-01-04    0.073684   -0.447368     0.257895 -9.557895 -7.742105\n",
       "2001-01-05   -1.050000    0.055000    -0.285000 -9.115000 -8.847368\n",
       "...                ...         ...          ...       ...       ...\n",
       "2020-12-27    1.020000    2.126667     0.420000 -1.900000 -1.178571\n",
       "2020-12-28         NaN         NaN          NaN       NaN       NaN\n",
       "2020-12-29         NaN         NaN          NaN       NaN       NaN\n",
       "2020-12-30         NaN         NaN          NaN       NaN       NaN\n",
       "2020-12-31         NaN         NaN          NaN       NaN       NaN\n",
       "\n",
       "[7305 rows x 5 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1868d28d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-23T22:56:50.224754Z",
     "start_time": "2022-12-23T22:56:50.215670Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temp_max_C</th>\n",
       "      <th>Temp_min_C</th>\n",
       "      <th>Temp_mean_C</th>\n",
       "      <th>Rel_Hum</th>\n",
       "      <th>Prec_mm</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>29.610526</td>\n",
       "      <td>21.436842</td>\n",
       "      <td>26.889474</td>\n",
       "      <td>85.621053</td>\n",
       "      <td>6.338889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>29.580000</td>\n",
       "      <td>21.710000</td>\n",
       "      <td>26.365000</td>\n",
       "      <td>87.495000</td>\n",
       "      <td>8.257895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>29.055000</td>\n",
       "      <td>21.850000</td>\n",
       "      <td>26.160000</td>\n",
       "      <td>87.850000</td>\n",
       "      <td>7.752632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>29.726316</td>\n",
       "      <td>21.847368</td>\n",
       "      <td>26.342105</td>\n",
       "      <td>87.157895</td>\n",
       "      <td>7.742105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>29.250000</td>\n",
       "      <td>21.945000</td>\n",
       "      <td>26.585000</td>\n",
       "      <td>86.215000</td>\n",
       "      <td>8.847368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>28.980000</td>\n",
       "      <td>21.873333</td>\n",
       "      <td>26.380000</td>\n",
       "      <td>88.100000</td>\n",
       "      <td>13.078571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>29.181818</td>\n",
       "      <td>21.054545</td>\n",
       "      <td>26.418182</td>\n",
       "      <td>87.363636</td>\n",
       "      <td>5.672727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>28.675000</td>\n",
       "      <td>20.900000</td>\n",
       "      <td>26.287500</td>\n",
       "      <td>87.312500</td>\n",
       "      <td>5.828571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>29.125000</td>\n",
       "      <td>21.725000</td>\n",
       "      <td>26.587500</td>\n",
       "      <td>86.800000</td>\n",
       "      <td>1.175000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>21.300000</td>\n",
       "      <td>26.450000</td>\n",
       "      <td>84.450000</td>\n",
       "      <td>21.950000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>366 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Temp_max_C  Temp_min_C  Temp_mean_C    Rel_Hum    Prec_mm\n",
       "Date                                                           \n",
       "1      29.610526   21.436842    26.889474  85.621053   6.338889\n",
       "2      29.580000   21.710000    26.365000  87.495000   8.257895\n",
       "3      29.055000   21.850000    26.160000  87.850000   7.752632\n",
       "4      29.726316   21.847368    26.342105  87.157895   7.742105\n",
       "5      29.250000   21.945000    26.585000  86.215000   8.847368\n",
       "...          ...         ...          ...        ...        ...\n",
       "362    28.980000   21.873333    26.380000  88.100000  13.078571\n",
       "363    29.181818   21.054545    26.418182  87.363636   5.672727\n",
       "364    28.675000   20.900000    26.287500  87.312500   5.828571\n",
       "365    29.125000   21.725000    26.587500  86.800000   1.175000\n",
       "366    29.000000   21.300000    26.450000  84.450000  21.950000\n",
       "\n",
       "[366 rows x 5 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a2793094",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-23T22:56:56.026076Z",
     "start_time": "2022-12-23T22:56:55.769653Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "font = {'family': 'serif',\n",
    "        'color' : 'black', \n",
    "        'weight': 'normal', \n",
    "        'size'  : 16}\n",
    "\n",
    "dp2 = anom.loc['2013-01-01':'2015-01-01']\n",
    "\n",
    "plt.figure(figsize=(10,5), dpi=100)\n",
    "\n",
    "x = dp2.index\n",
    "y = dp2.Prec_mm\n",
    "plt.plot(x, y, 'b')\n",
    "\n",
    "plt.xticks(x[::182])\n",
    "plt.xticks(fontsize=12)\n",
    "\n",
    "plt.yticks(fontsize=12)\n",
    "plt.ylabel('Prec. anomaly (mm)', fontdict=font)\n",
    "\n",
    "plt.title('Ground Obs. Prec. Anomaly: '+stid[:-4], fontsize=16, fontname='Serif')\n",
    "\n",
    "plt.rcParams['axes.facecolor']='white'\n",
    "plt.rcParams['savefig.facecolor']='white'\n",
    "\n",
    "plt.savefig('/bog/amuttaqin/Chapter3_MJO/groundobs_'+stid[:-4]+'_anom.png', dpi=150, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "27d08d39",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-23T23:18:54.049901Z",
     "start_time": "2022-12-23T23:18:53.800973Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "font = {'family': 'serif',\n",
    "        'color' : 'black', \n",
    "        'weight': 'normal', \n",
    "        'size'  : 16}\n",
    "\n",
    "dp3 = clim\n",
    "\n",
    "plt.figure(figsize=(10,5), dpi=100)\n",
    "\n",
    "x = dp3.index\n",
    "y = dp3.Prec_mm\n",
    "plt.plot(x, y, 'b')\n",
    "\n",
    "plt.xticks(x[::182])\n",
    "plt.xticks(fontsize=12)\n",
    "\n",
    "plt.yticks(fontsize=12)\n",
    "plt.ylabel('Prec. climatology (mm)', fontdict=font)\n",
    "\n",
    "plt.title('Ground Obs. Prec. Climatology: '+stid[:-4], fontsize=16, fontname='Serif')\n",
    "\n",
    "plt.rcParams['axes.facecolor']='white'\n",
    "plt.rcParams['savefig.facecolor']='white'\n",
    "\n",
    "plt.savefig('/bog/amuttaqin/Chapter3_MJO/groundobs_'+stid[:-4]+'_clim.png', dpi=150, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f976f961",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-23T23:28:50.610366Z",
     "start_time": "2022-12-23T23:28:50.603781Z"
    }
   },
   "outputs": [],
   "source": [
    "data_mon= data.Prec_mm.resample('M').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1e4c9991",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-24T00:10:00.863968Z",
     "start_time": "2022-12-24T00:10:00.718760Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_mon.groupby(lambda x: x.month).mean().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92e170c4",
   "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": "3.7.12"
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  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
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     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
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   "types_to_exclude": [
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    "builtin_function_or_method",
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    "_Feature"
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   "window_display": false
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 "nbformat": 4,
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}