{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "d5cf2b3d-0f34-4d13-9ba3-dd2e3fb66337",
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot time series at a single station for a selected period\n",
    "\n",
    "from docx import Document\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "x_labs = [ 'T (˚C)', 'p (hPa)', 'V (m/s)', 'q (g/kg)', 'WD (degree)', 'Rain (mm/3hrs)', 'RH (%)'] \n",
    "y_labs = \"%\"\n",
    "labs = ['(a)', '(b)', '(c)', '(d)', '(e)', '(f)', '(g)', '(h)']\n",
    "var = ['Temp', 'Pres',  'Windspeed', 'Specific humidity', 'Windir', 'rainfall3h', 'RH'] \n",
    "\n",
    "count_std = np.zeros(6) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "f7183eaf-58fc-4d5f-97b2-b3903b6f1cfb",
   "metadata": {},
   "outputs": [],
   "source": [
    "def remove_pressure_tide(p, dt_hours=1):\n",
    "    t = np.arange(len(p)) * dt_hours / 24  # days\n",
    "\n",
    "    X = np.column_stack([\n",
    "        np.cos(2*np.pi*t),  # S1\n",
    "        np.sin(2*np.pi*t),\n",
    "        np.cos(4*np.pi*t),  # S2\n",
    "        np.sin(4*np.pi*t),\n",
    "    ])\n",
    "\n",
    "    mask = np.isfinite(p)\n",
    "\n",
    "    coef, *_ = np.linalg.lstsq(X[mask], p[mask], rcond=None)\n",
    "    p_tide = X @ coef\n",
    "\n",
    "    p_notide = p - p_tide\n",
    "    p_notide[~mask] = np.nan\n",
    "\n",
    "    return p_notide, p_tide"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "6f7ac403-19ae-4450-a4e2-84bbc5292613",
   "metadata": {},
   "outputs": [],
   "source": [
    "ystd = 3\n",
    "nday = 10\n",
    "nhr = nday*24\n",
    "xlimit1 = 4*30*24 - 6\n",
    "xlimit2 = xlimit1 + nhr\n",
    "\n",
    "#x = np.linspace(xlimit1, xlimit2, nday) \n",
    "x = np.arange(0, nhr, 1) \n",
    "\n",
    "nid = 96839\n",
    "file_path = f\"/Users/cdz/Desktop/Khafid_etal/BMKG_SurfaceStationData/Combined Data/{nid}.csv\" \n",
    "fig_path = \"/Users/cdz/Desktop/Khafid_etal/Manuscript/TimeSeries_Figs\" \n",
    "df = pd.read_csv(file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "065b287c-6d5e-4b19-a4c2-970dde0ed275",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/2j/jt4cdpb52j3fh_1z31cdsbd00000gr/T/ipykernel_58885/3604156151.py:19: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  T[T > 1000] = np.nan\n",
      "/var/folders/2j/jt4cdpb52j3fh_1z31cdsbd00000gr/T/ipykernel_58885/3604156151.py:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  RH[RH > 100] = np.nan\n",
      "/var/folders/2j/jt4cdpb52j3fh_1z31cdsbd00000gr/T/ipykernel_58885/3604156151.py:21: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  RH[RH < 0] = np.nan\n",
      "/var/folders/2j/jt4cdpb52j3fh_1z31cdsbd00000gr/T/ipykernel_58885/3604156151.py:22: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  pt[pt >2000] = np.nan\n",
      "/var/folders/2j/jt4cdpb52j3fh_1z31cdsbd00000gr/T/ipykernel_58885/3604156151.py:54: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  z[z > 1000] = np.nan\n",
      "/var/folders/2j/jt4cdpb52j3fh_1z31cdsbd00000gr/T/ipykernel_58885/3604156151.py:56: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  z[z >2000] = np.nan\n",
      "/var/folders/2j/jt4cdpb52j3fh_1z31cdsbd00000gr/T/ipykernel_58885/3604156151.py:61: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  z[z > 100] = np.nan\n",
      "/var/folders/2j/jt4cdpb52j3fh_1z31cdsbd00000gr/T/ipykernel_58885/3604156151.py:62: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  z[z < 0] = np.nan\n",
      "/var/folders/2j/jt4cdpb52j3fh_1z31cdsbd00000gr/T/ipykernel_58885/3604156151.py:69: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  z[z > 100] = np.nan\n",
      "/var/folders/2j/jt4cdpb52j3fh_1z31cdsbd00000gr/T/ipykernel_58885/3604156151.py:70: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  z[z < 0] = np.nan\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2874    5.0\n",
      "2875    NaN\n",
      "2876    NaN\n",
      "2877    0.0\n",
      "2878    NaN\n",
      "       ... \n",
      "3109    NaN\n",
      "3110    NaN\n",
      "3111    0.0\n",
      "3112    NaN\n",
      "3113    NaN\n",
      "Name: rainfall3h, Length: 240, dtype: float64\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x1200 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Read the attached CSV file\n",
    "\n",
    "\n",
    "#print(\" \", *var, sep=\" \")\n",
    "\n",
    "timeseries = np.zeros((nid,total))\n",
    "\n",
    "fig, axs = plt.subplots(nrows=7, ncols=1, figsize=(8, 12), layout=\"constrained\")\n",
    "\n",
    "T = df['Temp']\n",
    "RH = df['RH']\n",
    "pt = df['Pres']\n",
    "#spd = df['Windspeed']*0.514444 # convert from knot to m/s\n",
    "#wdir = df['Windir']\n",
    "#rain = df['rainfall3h']\n",
    "\n",
    "#rain[rain > 100] = np.nan\n",
    "#rain[rain < 0] = np.nan\n",
    "T[T > 1000] = np.nan\n",
    "RH[RH > 100] = np.nan\n",
    "RH[RH < 0] = np.nan\n",
    "pt[pt >2000] = np.nan\n",
    "#spd[spd >1000] = np.nan\n",
    "#wdir[spd >1000] = np.nan\n",
    "\n",
    "e_s = 6.112 * np.exp((17.67 * T) / (T + 243.5))\n",
    "e = (RH / 100) * e_s\n",
    "q = 1000*(0.622 * e) / (pt - (0.378 * e))\n",
    "\n",
    "df['Specific humidity'] = q\n",
    "\n",
    "p, p_tide = remove_pressure_tide(pt, dt_hours=1)\n",
    "df['pres'] = p\n",
    "\n",
    "\n",
    "nv = 0\n",
    "\n",
    "for v in var:\n",
    "    z = df[v]\n",
    "\n",
    "    num = x.shape\n",
    "#    print(v, num)\n",
    "    \n",
    "    vmin = np.nanmin(z[xlimit1:xlimit2,])\n",
    "    vmax = np.nanmax(z[xlimit1:xlimit2,])\n",
    "    vmean = np.nanmean(z[xlimit1:xlimit2,])\n",
    "    vstd = np.std(z[xlimit1:xlimit2,])\n",
    "  \n",
    "#        mask = (x<vmean+7*vstd)\n",
    "    ylimit1 = vmean - ystd*vstd\n",
    "    ylimit2 = vmean + ystd*vstd\n",
    "\n",
    "    if v == \"Temp\":\n",
    "        z[z > 1000] = np.nan\n",
    "    if v == \"pres\" or v == \"Windir\":\n",
    "        z[z >2000] = np.nan\n",
    "    if v == \"Windspeed\":\n",
    "        z = z*0.514444 # convert from knot to m/s\n",
    "        z[z >50] = np.nan\n",
    "    if v == \"rainfall3h\":\n",
    "        z[z > 100] = np.nan\n",
    "        z[z < 0] = np.nan\n",
    "        ylimit1 = 0\n",
    "        print(z[xlimit1:xlimit2])\n",
    "#        mask = (x > 0) \n",
    "#        z = x[mask]\n",
    "#        num = z.shape\n",
    "    if v == \"RH\":\n",
    "        z[z > 100] = np.nan\n",
    "        z[z < 0] = np.nan\n",
    "        ylimit2 = 100\n",
    "    \n",
    "\n",
    "#    ax0.plot(x, z[:nhr], label='Total', color='blue')\n",
    "\n",
    "    \n",
    "    axs[nv].plot(x, z[xlimit1:xlimit2], linestyle='none', marker = 'o', markersize = 2, c = 'black')\n",
    "    axn.set_ylim(ylimit1, ylimit2)\n",
    "    axs[nv].set_ylabel(x_labs[nv])\n",
    "    axs[nv].set_xlabel(\"Hours\")\n",
    "    axs[nv].set_xlim(0, nhr+1)\n",
    "    axs[nv].set_xticks(np.arange(0, nhr+1, 24))\n",
    "    axs[nv].grid(True, axis='x', linestyle='-', alpha=0.7)\n",
    "    axs[nv].set_title(labs[nv], fontsize=10, loc='left')\n",
    "#    ax0.legend()\n",
    "\n",
    "    nv = nv + 1\n",
    "\n",
    "#ax1 = axs[1]\n",
    "#ax1.plot(x, p_tide[:nhr], label='Tide', color='black', linewidth=2)\n",
    "\n",
    "#ax1.set_ylabel(\"p (hPa)\")\n",
    "#ax1.set_xlabel(\"Days\")\n",
    "#ax1.set_xticks(np.arange(0, nday + 1, 1))\n",
    "#ax1.grid(True, axis='x', linestyle='-', alpha=0.7)\n",
    "#ax1.legend()\n",
    "\n",
    "plt.show()\n",
    "fig.savefig(f\"{fig_path}/TimeSeries.{nid}.png\")        "
   ]
  },
  {
   "cell_type": "raw",
   "id": "43505755-60fb-43a9-9e87-8f4ddc35f7c4",
   "metadata": {},
   "source": [
    "nid = 96035\n",
    "\n",
    "file_path = f\"/Users/cdz/Desktop/Khafid_etal/BMKG_SurfaceStationData/Combined Data/{nid}.csv\" \n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "R = df['rainfall3h']\n",
    "\n",
    "fig, axs = plt.subplots(nrows=2, ncols=1, figsize=(8, 8), layout=\"constrained\")\n",
    "\n",
    "ax0 = axs[0] \n",
    "mask = ~np.isnan(R[25:48]) \n",
    "ax0.plot(np.where(mask)[0], R[25:48][mask], linestyle='None', color='black', marker=':')\n",
    "\n",
    "#axs[0].plot(R[25:48], color='black', linestyle='none', marker = ':', markersize = 2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "dc5e08af-5010-4d86-b2f0-85f46b1474f1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25     NaN\n",
      "26     NaN\n",
      "27     0.0\n",
      "28     NaN\n",
      "29     NaN\n",
      "30     0.0\n",
      "31     NaN\n",
      "32     NaN\n",
      "33     0.0\n",
      "34     NaN\n",
      "35     NaN\n",
      "36     0.1\n",
      "37     NaN\n",
      "38     NaN\n",
      "39    12.4\n",
      "40     NaN\n",
      "41     NaN\n",
      "42    12.4\n",
      "43     NaN\n",
      "44     NaN\n",
      "45     0.0\n",
      "46     NaN\n",
      "47     NaN\n",
      "Name: rainfall3h, dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x18c0a8ad0>]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(R[25:48])\n",
    "plt.plot(R[25:48], linestyle='none', marker = 'o',  markersize = 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "853bf5b8-d3e4-44ec-adb0-598fe0271cc1",
   "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": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}