{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c2603451",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/cbrun/Documents/PROJETS/GC2021/COBRA_fev2023/RESULTAT_meteo\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import netCDF4 as nc\n",
    "import datetime as datetime\n",
    "from datetime import time, timedelta\n",
    "from matplotlib import dates\n",
    "import os\n",
    "from pathlib import Path\n",
    "print(Path.cwd())\n",
    "Path = Path.cwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d319fff4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/cbrun/Documents/PROJETS/GC2021/COBRA_fev2023/RESULTAT_meteo'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d9e130fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/cbrun/Documents/PROJETS/GC2021/COBRA_fev2023/RESULTAT_meteo\n"
     ]
    }
   ],
   "source": [
    "cd RESULTAT_meteo/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "08630a67",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'netCDF4._netCDF4.Dataset'>\n",
      "root group (NETCDF4 data model, file format HDF5):\n",
      "    dimensions(sizes): t(10612)\n",
      "    variables(dimensions): float64 time(t), float64 pression(t), float64 air temperature(t), float64 air relative humidity(t), float64 velocity norm(t), float64 velocity direction(t), float64 velocity x(t), float64 velocity y(t), float64 surface temperature(t), float64 net surface radiation(t)\n",
      "    groups: \n",
      "[1.67544492e+18 1.67544504e+18 1.67544516e+18 ... 1.67678832e+18\n",
      " 1.67691588e+18 1.67691600e+18]\n",
      "[ 4.734  4.642  4.697 ...  4.817 12.    11.65 ]\n",
      "[-3.699 -3.616 -3.594 ... -2.869  1.997  1.761]\n",
      "DatetimeIndex(['2023-02-03 17:22:00', '2023-02-03 17:24:00',\n",
      "               '2023-02-03 17:26:00', '2023-02-03 17:28:00',\n",
      "               '2023-02-03 17:30:00', '2023-02-03 17:32:00',\n",
      "               '2023-02-03 17:34:00', '2023-02-03 17:40:00',\n",
      "               '2023-02-03 17:42:00', '2023-02-03 17:44:00',\n",
      "               ...\n",
      "               '2023-02-19 06:18:00', '2023-02-19 06:20:00',\n",
      "               '2023-02-19 06:22:00', '2023-02-19 06:24:00',\n",
      "               '2023-02-19 06:26:00', '2023-02-19 06:28:00',\n",
      "               '2023-02-19 06:30:00', '2023-02-19 06:32:00',\n",
      "               '2023-02-20 17:58:00', '2023-02-20 18:00:00'],\n",
      "              dtype='datetime64[ns]', length=10612, freq=None)\n"
     ]
    }
   ],
   "source": [
    "file_path = 'meteo_GC_fev2023.nc'\n",
    "r3 = nc.Dataset(file_path, 'r', format='NETCDF4')\n",
    "print(r3)\n",
    "print(r3['time'][:])\n",
    "print(r3['air temperature'][:])\n",
    "print(r3['surface temperature'][:])\n",
    "#time_meteo=r3['time'][:]\n",
    "time_meteo = pd.to_datetime(r3['time'][:])\n",
    "n=len(time_meteo)\n",
    "temperature=r3['air temperature'][:]\n",
    "rhumidite=r3['air relative humidity'][:]\n",
    "temperature_surf=r3['surface temperature'][:]\n",
    "vitesse_norm=r3['velocity norm'][:]\n",
    "vitesse_dir=r3['velocity direction'][:]\n",
    "LWUP=r3['net surface radiation'][:]\n",
    "eps=0.99 #0.9 #0.99\n",
    "eps2=0.6\n",
    "sigma=5.67e-8\n",
    "LWDN=eps2*sigma*(temperature+273.15)**4\n",
    "LWCO=(LWUP-(1.-eps)*LWDN)\n",
    "temperature_scor=np.sqrt(np.sqrt(np.abs(LWCO/eps/sigma)))-273.15\n",
    "serie_un = pd.Series(vitesse_norm,index=time_meteo)\n",
    "#serie_un = serie_un.sort_index()\n",
    "UN = serie_un.resample('30min').mean()\n",
    "serie_ud = pd.Series(vitesse_dir,index=time_meteo)\n",
    "#serie_un = serie_un.sort_index()\n",
    "UD = serie_ud.resample('30min').mean()\n",
    "serie_T = pd.Series(temperature,index=time_meteo)\n",
    "serie_TS = pd.Series(temperature_surf,index=time_meteo)\n",
    "TT = serie_T.resample('30min').mean()\n",
    "TS = serie_TS.resample('30min').mean()\n",
    "print(time_meteo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "18a7ccdb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'netCDF4._netCDF4.Dataset'>\n",
      "root group (NETCDF4 data model, file format HDF5):\n",
      "    dimensions(sizes): t(31583)\n",
      "    variables(dimensions): float64 time(t), float64 pression(t), float64 air temperature(t), float64 air relative humidity(t), float64 velocity norm(t), float64 velocity direction(t), float64 velocity x(t), float64 velocity y(t), float64 surface temperature(t), float64 net surface radiation(t)\n",
      "    groups: \n",
      "[1.67144940e+18 1.67144952e+18 1.67144964e+18 ... 1.67535708e+18\n",
      " 1.67535720e+18 1.67535732e+18]\n",
      "[1.572 1.572 1.54  ... 1.574 1.529 1.537]\n",
      "[ 0.157  0.171  0.178 ... -1.082 -1.04  -1.057]\n",
      "DatetimeIndex(['2022-12-19 11:30:00', '2022-12-19 11:32:00',\n",
      "               '2022-12-19 11:34:00', '2022-12-19 11:36:00',\n",
      "               '2022-12-19 11:38:00', '2022-12-19 11:40:00',\n",
      "               '2022-12-19 11:42:00', '2022-12-19 11:44:00',\n",
      "               '2022-12-19 11:46:00', '2022-12-19 11:48:00',\n",
      "               ...\n",
      "               '2023-02-02 16:44:00', '2023-02-02 16:46:00',\n",
      "               '2023-02-02 16:48:00', '2023-02-02 16:50:00',\n",
      "               '2023-02-02 16:52:00', '2023-02-02 16:54:00',\n",
      "               '2023-02-02 16:56:00', '2023-02-02 16:58:00',\n",
      "               '2023-02-02 17:00:00', '2023-02-02 17:02:00'],\n",
      "              dtype='datetime64[ns]', length=31583, freq=None)\n"
     ]
    }
   ],
   "source": [
    "file_path = 'meteo_Clairiere_dec2022.nc'\n",
    "r4 = nc.Dataset(file_path, 'r', format='NETCDF4')\n",
    "print(r4)\n",
    "print(r4['time'][:])\n",
    "print(r4['air temperature'][:])\n",
    "print(r4['surface temperature'][:])\n",
    "#time_meteo=r4['times'][:]\n",
    "time_meteo = pd.to_datetime(r4['time'][:])\n",
    "temperature=r4['air temperature'][:]\n",
    "temperature_surf=r4['surface temperature'][:]\n",
    "#temperature_surf=r4['Surface_Temperature'][:]\n",
    "pression=r4['pression'][:]\n",
    "print(time_meteo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4ad0ac15",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'netCDF4._netCDF4.Dataset'>\n",
      "root group (NETCDF4 data model, file format HDF5):\n",
      "    dimensions(sizes): t(2635192)\n",
      "    variables(dimensions): float64 time(t), float64 Temp_C(1)(t), float64 Temp_C(2)(t), float64 Temp_C(3)(t), float64 Temp_C(4)(t), float64 Temp_C(5)(t), float64 PT100(t), float64 csatB_Pitch(t), float64 csatB_Roll(t)\n",
      "    groups: \n",
      "[1.67547075e+18 1.67547075e+18 1.67547075e+18 ... 1.67810655e+18\n",
      " 1.67810656e+18 1.67810656e+18]\n",
      "[  nan   nan   nan ... 3.06  3.073 3.117]\n"
     ]
    }
   ],
   "source": [
    "file='fw_pt100.nc'\n",
    "r5 = nc.Dataset(file, 'r', format='NETCDF4')\n",
    "print(r5)\n",
    "print(r5['time'][:])\n",
    "print(r5['Temp_C(1)'][:])\n",
    "time_fw3 = pd.to_datetime(r5['time'][:])\n",
    "temperature_1=r5['Temp_C(1)'][:]\n",
    "temperature_2=r5['Temp_C(2)'][:]\n",
    "#temperature_3=r5['Temp_C(3)'][:]  FW3 ou porte sonde KO\n",
    "temperature_4=r5['Temp_C(4)'][:]\n",
    "temperature_5=r5['Temp_C(5)'][:]\n",
    "temperature_grnd=r5['PT100'][:]\n",
    "alpha=r5['csatB_Pitch'][:]\n",
    "beta=r5['csatB_Roll'][:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d17c7042",
   "metadata": {},
   "outputs": [],
   "source": [
    "serieT1 = pd.Series(temperature_1,index=time_fw3)\n",
    "serieT2 = pd.Series(temperature_2,index=time_fw3)\n",
    "#serieT3 = pd.Series(temperature_3,index=time_fw3)\n",
    "serieT4 = pd.Series(temperature_4,index=time_fw3)\n",
    "serieT5 = pd.Series(temperature_5,index=time_fw3)\n",
    "serieTG = pd.Series(temperature_grnd,index=time_fw3)\n",
    "#series = series.sort_index()\n",
    "#df = pd.DataFrame(temperature,index=time_meteo)\n",
    "#df = df.sort_index()\n",
    "#df = pd.DataFrame({'s': series})\n",
    "#Tmean = df.asfreq(freq='60S')\n",
    "#print(series2)\n",
    "#print(series3)\n",
    "#print(df)\n",
    "#pd.date_range(start='4/2/2023', stop='20/2/2023',freq='60S')\n",
    "#df[df.index.duplicated()]\n",
    "#T3 = series3.asfreq(freq='2min')\n",
    "#Tmean2 = series2.resample('2min').mean()\n",
    "T1h1 = serieT1.resample('1H').mean()\n",
    "T1h2 = serieT2.resample('1H').mean()\n",
    "#T1h3 = serieT3.resample('1H').mean()\n",
    "T1h4 = serieT4.resample('1H').mean()\n",
    "T1h5 = serieT5.resample('1H').mean()\n",
    "T1hG = serieTG.resample('1H').mean()\n",
    "#series[series.index.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "bffef513",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(time_meteo, temperature,'b--', label='T 2.50m')\n",
    "plt.plot(time_meteo, temperature_surf,'g--', label='T surf')\n",
    "#plt.plot(time_meteo, temperature_scor,'r--', label='T scor')\n",
    "plt.ylabel('Temperature (°C)')\n",
    "tmax=np.datetime64('2023-02-19 08:00')\n",
    "tmin=np.datetime64('2023-02-05')\n",
    "tmax=np.datetime64('2023-02-15')\n",
    "tmin=np.datetime64('2023-02-07')\n",
    "#plt.legend()\n",
    "plt.xlim(tmin,tmax)\n",
    "p1 = np.datetime64('2023-02-08 07:58')\n",
    "p2 = np.datetime64('2023-02-08 19:28')\n",
    "p3 = np.datetime64('2023-02-08 22:11')\n",
    "p4 = np.datetime64('2023-02-09 19:49')\n",
    "p5 = np.datetime64('2023-02-10 10:15')\n",
    "p6 = np.datetime64('2023-02-10 19:16')\n",
    "p7 = np.datetime64('2023-02-10 22:45')\n",
    "p8 = np.datetime64('2023-02-11 07:00')\n",
    "p9 = np.datetime64('2023-02-11 09:37')\n",
    "p10 = np.datetime64('2023-02-11 19:00')\n",
    "p11 = np.datetime64('2023-02-11 21:00')\n",
    "p12 = np.datetime64('2023-02-12 07:00')\n",
    "p13 = np.datetime64('2023-02-12 09:00')\n",
    "p14 = np.datetime64('2023-02-12 10:00')\n",
    "p15 = np.datetime64('2023-02-12 19:00')\n",
    "p16 = np.datetime64('2023-02-12 22:00')\n",
    "p17 = np.datetime64('2023-02-13 07:00')\n",
    "p18 = np.datetime64('2023-02-13 09:00')\n",
    "p19 = np.datetime64('2023-02-13 20:30')\n",
    "t1 = np.datetime64('2023-02-13 23:00')\n",
    "t2 = np.datetime64('2023-02-14 07:00')\n",
    "p20 = np.datetime64('2023-02-18 20:00')\n",
    "p21 = np.datetime64('2023-02-18 22:00')\n",
    "p22 = np.datetime64('2023-02-19 07:00')\n",
    "p23 = np.datetime64('2023-02-20 21:00')\n",
    "\n",
    "#f1 = np.datetime64('2023-02-08 09:00')\n",
    "#xlocator = dates.MinuteLocator(byminute=[0,30], interval = 1)\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "#i = d1-timedelta(minutes=1)\n",
    "#f = f1+timedelta(minutes=1)\n",
    "#ax.set_xlim(i,f)\n",
    "#ax.grid()\n",
    "#ax.axvspan(d1,f1, color='gainsboro')\n",
    "plt.axvline(p1, color='gainsboro')\n",
    "plt.axvline(p2, color='gainsboro')\n",
    "plt.axvline(p3, color='gainsboro')\n",
    "plt.axvline(p4, color='gainsboro')\n",
    "plt.axvline(p5, color='gainsboro')\n",
    "plt.axvline(p6, color='gainsboro')\n",
    "plt.axvline(p7, color='gainsboro')\n",
    "plt.axvline(p8, color='gainsboro')\n",
    "plt.axvline(p9, color='gainsboro')\n",
    "plt.axvline(p10, color='gainsboro')\n",
    "plt.axvline(p11, color='gainsboro')\n",
    "plt.axvline(p12, color='gainsboro')\n",
    "plt.axvline(p13, color='gainsboro')\n",
    "plt.axvline(p14, color='gainsboro')\n",
    "plt.axvline(p15, color='gainsboro')\n",
    "plt.axvline(p16, color='gainsboro')\n",
    "plt.axvline(p17, color='gainsboro')\n",
    "plt.axvline(p18, color='gainsboro')\n",
    "plt.axvline(t1, color='gainsboro')\n",
    "plt.axvline(t2, color='gainsboro')\n",
    "plt.axvline(p19, color='gainsboro')\n",
    "plt.axvline(p20, color='gainsboro')\n",
    "plt.axvline(p21, color='gainsboro')\n",
    "plt.axvline(p22, color='gainsboro')\n",
    "plt.axvline(p23, color='gainsboro')\n",
    "#ax.xaxis.set_major_formatter(dfmt)\n",
    "plt.legend()\n",
    "#ax = plt.gca()\n",
    "hours = dates.HourLocator()\n",
    "dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"T_GC_2m5.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "4155c52a",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "#plt.plot(T1h3,'g--', label='T 0m')\n",
    "plt.plot(TS,'g--', label='T_Surf')\n",
    "plt.plot(T1hG,'c--', label='T_Ground')\n",
    "plt.plot(T1h1,'r--', label='T 0m70')\n",
    "plt.plot(T1h2,'b--', label='T 1m20')\n",
    "plt.plot(T1h4,'m--', label='T 2m')\n",
    "plt.plot(TT,'g--', label='T 2m50 abris')\n",
    "plt.plot(T1h5,'y--', label='T 2m90')\n",
    "plt.ylabel('Temperature (°C)')\n",
    "tmax=np.datetime64('2023-02-19 08:00')\n",
    "tmin=np.datetime64('2023-02-05')\n",
    "tmax=np.datetime64('2023-02-15')\n",
    "tmin=np.datetime64('2023-02-07')\n",
    "plt.axvline(p1, color='gainsboro')\n",
    "plt.axvline(p2, color='black')\n",
    "plt.axvline(p3, color='black')\n",
    "plt.axvline(p4, color='gainsboro')\n",
    "plt.axvline(p5, color='gainsboro')\n",
    "plt.axvline(p6, color='gainsboro')\n",
    "plt.axvline(p7, color='gainsboro')\n",
    "plt.axvline(p8, color='black')\n",
    "plt.axvline(p9, color='black')\n",
    "plt.axvline(p10, color='gainsboro')\n",
    "plt.axvline(p11, color='gainsboro')\n",
    "plt.axvline(p12, color='gainsboro')\n",
    "plt.axvline(p13, color='gainsboro')\n",
    "plt.axvline(p14, color='gainsboro')\n",
    "plt.axvline(p15, color='black')\n",
    "plt.axvline(p16, color='black')\n",
    "plt.axvline(p17, color='black')\n",
    "plt.axvline(p18, color='black')\n",
    "plt.axvline(t1, color='gainsboro')\n",
    "plt.axvline(t2, color='gainsboro')\n",
    "plt.axvline(p19, color='gainsboro')\n",
    "plt.axvline(p20, color='gainsboro')\n",
    "plt.axvline(p21, color='gainsboro')\n",
    "plt.axvline(p22, color='gainsboro')\n",
    "plt.axvline(p23, color='gainsboro')\n",
    "#plt.legend()\n",
    "plt.xlim(tmin,tmax)\n",
    "plt.legend()\n",
    "#ax = plt.gca()\n",
    "hours = dates.HourLocator()\n",
    "dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"T_GC_fw.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "39245610",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(UN)\n",
    "#plt.plot(time_meteo, vitesse_dir)\n",
    "plt.ylabel('Vitesse (m/s)')\n",
    "tmin=np.datetime64('2023-02-04 18:00:00')\n",
    "tmax=np.datetime64('2023-02-21 12:00:00')\n",
    "tmax=np.datetime64('2023-02-15')\n",
    "tmin=np.datetime64('2023-02-07')\n",
    "#plt.legend()\n",
    "plt.xlim(tmin,tmax)\n",
    "plt.axvline(p1, color='gainsboro')\n",
    "plt.axvline(p2, color='gainsboro')\n",
    "plt.axvline(p3, color='gainsboro')\n",
    "plt.axvline(p4, color='gainsboro')\n",
    "plt.axvline(p5, color='gainsboro')\n",
    "plt.axvline(p6, color='gainsboro')\n",
    "plt.axvline(p7, color='gainsboro')\n",
    "plt.axvline(p8, color='gainsboro')\n",
    "plt.axvline(p9, color='gainsboro')\n",
    "plt.axvline(p10, color='gainsboro')\n",
    "plt.axvline(p11, color='gainsboro')\n",
    "plt.axvline(p12, color='gainsboro')\n",
    "plt.axvline(p13, color='gainsboro')\n",
    "plt.axvline(p14, color='gainsboro')\n",
    "plt.axvline(p15, color='gainsboro')\n",
    "plt.axvline(p16, color='gainsboro')\n",
    "plt.axvline(p17, color='gainsboro')\n",
    "plt.axvline(p18, color='gainsboro')\n",
    "plt.axvline(t1, color='gainsboro')\n",
    "plt.axvline(t2, color='gainsboro')\n",
    "plt.axvline(p19, color='gainsboro')\n",
    "plt.axvline(p20, color='gainsboro')\n",
    "plt.axvline(p21, color='gainsboro')\n",
    "plt.axvline(p22, color='gainsboro')\n",
    "plt.axvline(p23, color='gainsboro')\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"U_GC_3m5.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4b0cff28",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "#plt.plot(time_meteo, vitesse_norm)\n",
    "#for j in range(n): \n",
    "#    if vitesse_dir[j]>270:\n",
    "#        vitesse_dir[j]=vitesse_dir[j]-360\n",
    "plt.plot(UD)\n",
    "plt.ylabel('Vitesse dir (degré)')\n",
    "#tmin=np.datetime64('2023-02-10')\n",
    "#tmax=np.datetime64('2023-02-12')\n",
    "#plt.legend()\n",
    "plt.xlim(tmin,tmax)\n",
    "plt.axvline(p1, color='gainsboro')\n",
    "plt.axvline(p2, color='gainsboro')\n",
    "plt.axvline(p3, color='gainsboro')\n",
    "plt.axvline(p4, color='gainsboro')\n",
    "plt.axvline(p5, color='gainsboro')\n",
    "plt.axvline(p6, color='gainsboro')\n",
    "plt.axvline(p7, color='gainsboro')\n",
    "plt.axvline(p8, color='gainsboro')\n",
    "plt.axvline(p9, color='gainsboro')\n",
    "plt.axvline(p10, color='gainsboro')\n",
    "plt.axvline(p11, color='gainsboro')\n",
    "plt.axvline(p12, color='gainsboro')\n",
    "plt.axvline(p13, color='gainsboro')\n",
    "plt.axvline(p14, color='gainsboro')\n",
    "plt.axvline(p15, color='gainsboro')\n",
    "plt.axvline(p16, color='gainsboro')\n",
    "plt.axvline(p17, color='gainsboro')\n",
    "plt.axvline(p18, color='gainsboro')\n",
    "plt.axvline(t1, color='gainsboro')\n",
    "plt.axvline(t2, color='gainsboro')\n",
    "plt.axvline(p19, color='gainsboro')\n",
    "plt.axvline(p20, color='gainsboro')\n",
    "plt.axvline(p21, color='gainsboro')\n",
    "plt.axvline(p22, color='gainsboro')\n",
    "plt.axvline(p23, color='gainsboro')\n",
    "#base = datetime(2023, 2, 3,1,0)\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"Dir_GC_3m5.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "da178cc9",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(time_meteo, rhumidite)\n",
    "plt.ylabel('RH (%)')\n",
    "plt.xlim(tmin,tmax)\n",
    "#plt.xlim(datetime(2023,2,3,12), datetime(2023,2,21,22))\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"RH_GC_2m5.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"RH_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fe1a26cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'netCDF4._netCDF4.Dataset'>\n",
      "root group (NETCDF4 data model, file format HDF5):\n",
      "    dimensions(sizes): t(28904708)\n",
      "    variables(dimensions): float64 time(t), float64 u_csat(t), float64 v_csat(t), float64 w_csat(t), float64 temp_csat(t)\n",
      "    groups: \n",
      "[1.67547075e+18 1.67547075e+18 1.67547075e+18 ... 1.67691660e+18\n",
      " 1.67691660e+18 1.67691660e+18]\n",
      "[-0.6189906 -0.6294421 -0.7407935 ...  0.2801172  0.3263296  0.419395 ]\n",
      "[2.288116 2.177704 2.241669 ... 7.062042 6.993256 6.903351]\n",
      "DatetimeIndex([   '2023-02-04 00:32:26.200000',\n",
      "               '2023-02-04 00:32:26.249999872',\n",
      "                  '2023-02-04 00:32:26.300000',\n",
      "               '2023-02-04 00:32:26.350000128',\n",
      "                  '2023-02-04 00:32:26.400000',\n",
      "               '2023-02-04 00:32:26.449999872',\n",
      "                  '2023-02-04 00:32:26.500000',\n",
      "               '2023-02-04 00:32:26.550000128',\n",
      "                  '2023-02-04 00:32:26.600000',\n",
      "               '2023-02-04 00:32:26.649999872',\n",
      "               ...\n",
      "                  '2023-02-20 18:10:00.200000',\n",
      "               '2023-02-20 18:10:00.249999872',\n",
      "                  '2023-02-20 18:10:00.300000',\n",
      "               '2023-02-20 18:10:00.350000128',\n",
      "                  '2023-02-20 18:10:00.400000',\n",
      "               '2023-02-20 18:10:00.449999872',\n",
      "                  '2023-02-20 18:10:00.500000',\n",
      "               '2023-02-20 18:10:00.550000128',\n",
      "                  '2023-02-20 18:10:00.600000',\n",
      "               '2023-02-20 18:10:00.649999872'],\n",
      "              dtype='datetime64[ns]', length=28904708, freq=None)\n"
     ]
    }
   ],
   "source": [
    "file_path = 'sonicdata.nc'\n",
    "#file_path = '/Users/cbrun/Documents//UFR/M2_CLA/DATA_2022_13dec/meteo_2022_12_13.nc'\n",
    "r5 = nc.Dataset(file_path, 'r', format='NETCDF4')\n",
    "print(r5)\n",
    "print(r5['time'][:])\n",
    "print(r5['u_csat'][:])\n",
    "print(r5['temp_csat'][:])\n",
    "#time_meteo=r5['time'][:]\n",
    "time_sonic = pd.to_datetime(r5['time'][:])\n",
    "vitesse_y = -r5['u_csat'][:]\n",
    "vitesse_x = r5['v_csat'][:]\n",
    "vitesse_z = r5['w_csat'][:]\n",
    "temperature_s=r5['temp_csat'][:]\n",
    "print(time_sonic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0887405e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2023-02-08 19:11:54.049999872   -5.125610\n",
       "2023-02-08 19:11:54.100000000   -6.480713\n",
       "2023-02-08 19:11:54.150000128   -6.566711\n",
       "2023-02-08 19:11:54.200000000   -6.543304\n",
       "2023-02-08 19:11:54.249999872   -6.151276\n",
       "                                   ...   \n",
       "2023-02-08 19:12:19.649999872   -6.108704\n",
       "2023-02-08 19:12:19.700000000   -5.807709\n",
       "2023-02-08 19:12:19.750000128   -5.828278\n",
       "2023-02-08 19:12:19.800000000   -6.243225\n",
       "2023-02-08 19:12:19.849999872   -5.874664\n",
       "Length: 517, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "series = pd.Series(temperature_s,index=time_sonic)\n",
    "series = series.sort_index()\n",
    "#df = pd.DataFrame(temperature,index=time_meteo)\n",
    "#df = df.sort_index()\n",
    "series2=series.truncate(after='2023-02-08 19:11:54')\n",
    "series3=series.truncate(before='2023-02-08 19:12:19.9')\n",
    "#df = pd.DataFrame({'s': series})\n",
    "#Tmean = df.asfreq(freq='60S')\n",
    "#print(series2)\n",
    "#print(series3)\n",
    "#print(df)\n",
    "#pd.date_range(start='4/2/2023', stop='20/2/2023',freq='60S')\n",
    "#df[df.index.duplicated()]\n",
    "T2 = series2.asfreq(freq='2min')\n",
    "T3 = series3.asfreq(freq='2min')\n",
    "Tmean2 = series2.resample('2min').mean()\n",
    "Tmean3 = series3.resample('2min').mean()\n",
    "T1h2 = series2.resample('1H').mean()\n",
    "T1h3 = series3.resample('1H').mean()\n",
    "series[series.index.duplicated()]\n",
    "#Tmean = series.asfreq(freq='2min')\n",
    "#print(Tmean2)\n",
    "#print(Tmean3)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e8c48a60",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(T1h2,'b--')\n",
    "plt.plot(T1h3,'b--')\n",
    "#plt.plot(time_meteo, temperature_surf,'r--')\n",
    "plt.ylabel('Température (°C)')\n",
    "tmin=np.datetime64('2023-02-12')\n",
    "tmax=np.datetime64('2023-02-14')\n",
    "#plt.legend()\n",
    "plt.xlim(tmin,tmax)\n",
    "#plt.xlim(datetime(2023,2,3,12), datetime(2023,2,21,22))\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"T1H_GC_sonic.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d197e4f3",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(Tmean2,'b--')\n",
    "plt.plot(Tmean3,'b--')\n",
    "#plt.plot(time_meteo, temperature_surf,'r--')\n",
    "plt.ylabel('Température (°C)')\n",
    "#tmin=np.datetime64('2023-02-08')\n",
    "#tmax=np.datetime64('2023-02-14')\n",
    "plt.xlim(tmin,tmax)\n",
    "#plt.xlim(datetime(2023,2,3,12), datetime(2023,2,21,22))\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"T_GC_sonic.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "574c58e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#vitesse_x = r5['v_csat'][:]\n",
    "#range=pd.date_range(\"2023-02-04\", \"2023-02-20\", freq=\"2min\")\n",
    "Useries = pd.Series(vitesse_x,index=time_sonic)\n",
    "Useries = Useries.sort_index()\n",
    "#df = pd.DataFrame(temperature,index=time_meteo)\n",
    "#df = df.sort_index()\n",
    "Useries2=Useries.truncate(after='2023-02-08 19:11:54')\n",
    "Useries3=Useries.truncate(before='2023-02-08 19:12:19.9')\n",
    "#df = pd.DataFrame({'s': series})\n",
    "#Tmean = df.asfreq(freq='60S')\n",
    "#print(series2)\n",
    "#print(series3)\n",
    "#print(df)\n",
    "#pd.date_range(start='4/2/2023', stop='20/2/2023',freq='60S')\n",
    "Useries[Useries.index.duplicated()]\n",
    "Umean2 = Useries2.resample('2min').mean()\n",
    "Umean3 = Useries3.resample('2min').mean()\n",
    "#series[series.index.duplicated()]\n",
    "#Tmean = series.asfreq(freq='2min')\n",
    "#print(Tmean2)\n",
    "#print(Tmean3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1df70387",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(Umean2,'bo')\n",
    "plt.plot(Umean3,'bo')\n",
    "#plt.plot(time_meteo, temperature_surf,'r--')\n",
    "plt.ylabel('Vitesse longitudinale (m/s)')\n",
    "tmin=np.datetime64('2023-02-13 09:20:00')\n",
    "tmax=np.datetime64('2023-02-13 09:50:00')\n",
    "plt.xlim(tmin,tmax)\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"U_GC_sonic.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "213035dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "#vitesse_x = r5['v_csat'][:]\n",
    "#range=pd.date_range(\"2023-02-04\", \"2023-02-20\", freq=\"2min\")\n",
    "Wseries = pd.Series(vitesse_z,index=time_sonic)\n",
    "Wseries = Wseries.sort_index()\n",
    "#df = pd.DataFrame(temperature,index=time_meteo)\n",
    "#df = df.sort_index()\n",
    "Wseries2=Wseries.truncate(after='2023-02-08 19:11:54')\n",
    "Wseries3=Wseries.truncate(before='2023-02-08 19:12:19.9')\n",
    "#df = pd.DataFrame({'s': series})\n",
    "#Tmean = df.asfreq(freq='60S')\n",
    "#print(series2)\n",
    "#print(series3)\n",
    "#print(df)\n",
    "#pd.date_range(start='4/2/2023', stop='20/2/2023',freq='60S')\n",
    "Wseries[Wseries.index.duplicated()]\n",
    "Wmean2 = Wseries2.resample('2min').mean()\n",
    "Wmean3 = Wseries3.resample('2min').mean()\n",
    "#series[series.index.duplicated()]\n",
    "#Tmean = series.asfreq(freq='2min')\n",
    "#print(Tmean2)\n",
    "#print(Tmean3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ac00678e",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(Wmean2,'bo')\n",
    "plt.plot(Wmean3,'bo')\n",
    "#plt.plot(time_meteo, temperature_surf,'r--')\n",
    "plt.ylabel('Vitesse verticale (m/s)')\n",
    "#tmin=np.datetime64('2023-02-11')\n",
    "#tmax=np.datetime64('2023-02-14')\n",
    "plt.xlim(tmin,tmax)\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"W_GC_sonic.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c4f93a2f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#vitesse_x = r5['v_csat'][:]\n",
    "#range=pd.date_range(\"2023-02-04\", \"2023-02-20\", freq=\"2min\")\n",
    "Vseries = pd.Series(vitesse_y,index=time_sonic)\n",
    "Vseries = Vseries.sort_index()\n",
    "#df = pd.DataFrame(temperature,index=time_meteo)\n",
    "#df = df.sort_index()\n",
    "Vseries2=Vseries.truncate(after='2023-02-08 19:11:54')\n",
    "Vseries3=Vseries.truncate(before='2023-02-08 19:12:19.9')\n",
    "#df = pd.DataFrame({'s': series})\n",
    "#Tmean = df.asfreq(freq='60S')\n",
    "#print(series2)\n",
    "#print(series3)\n",
    "#print(df)\n",
    "#pd.date_range(start='4/2/2023', stop='20/2/2023',freq='60S')\n",
    "Vseries[Vseries.index.duplicated()]\n",
    "Vmean2 = Vseries2.resample('2min').mean()\n",
    "Vmean3 = Vseries3.resample('2min').mean()\n",
    "#series[series.index.duplicated()]\n",
    "#Tmean = series.asfreq(freq='2min')\n",
    "#print(Tmean2)\n",
    "#print(Tmean3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "adcb72d7",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(Vmean2,'bo')\n",
    "plt.plot(Vmean3,'bo')\n",
    "#plt.plot(time_meteo, temperature_surf,'r--')\n",
    "plt.ylabel('Vitesse spanwise (m/s)')\n",
    "#tmin=np.datetime64('2023-02-08')\n",
    "#tmax=np.datetime64('2023-02-14')\n",
    "plt.xlim(tmin,tmax)\n",
    "#plt.xlim(datetime(2023,2,3,12), datetime(2023,2,21,22))\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"V_GC_sonic.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2be53383",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "alpha2=np.arctan(Vmean2/Umean2)\n",
    "alpha3=np.arctan(Vmean3/Umean3)\n",
    "fig = plt.figure()\n",
    "plt.plot(alpha2,'bo')\n",
    "plt.plot(alpha3,'bo')\n",
    "#plt.plot(time_meteo, temperature_surf,'r--')\n",
    "plt.ylabel('angle deviation horizontal (degré)')\n",
    "#tmin=np.datetime64('2023-02-11')\n",
    "#tmax=np.datetime64('2023-02-14')\n",
    "plt.xlim(tmin,tmax)\n",
    "#plt.xlim(datetime(2023,2,3,12), datetime(2023,2,21,22))\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"alpha_GC_sonic.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "61c40d0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZQAAAEVCAYAAADHKRPdAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAcH0lEQVR4nO3debgcVZnH8e/vhoTkShBlEVmygCzKYoA7IMiMyqLsLiBbAGUGo+AIqIyIIDgCLiyKOMgQQUUSRAQVZWAQGHBGFvGGVQiLwyaIEkAgJjiS5J0/qi70vUn6Vm5XdfXp/D7P0093V1e63rerc9+uc06dUkRgZmbWqp66AzAzs+7ggmJmZqVwQTEzs1K4oJiZWSlcUMzMrBQuKGZmVooV6g5gWay22moxadKkusMwM0vKrFmznomI1aveTlIFZdKkSfT399cdhplZUiQ91o7tuMnLzMxK4YJiZmalcEExM7NSuKCYmVkpXFDMzKwULihmZlYKFxQzMyuFC4qZmZXCBcXMzErhgmJmZqVwQTEzs1K4oJiZWSlcUMzMrBQuKGZmVgoXFDMzK4ULipmZlcIFxczMSuGCYmZmpXBBMTOzUrigmJlZKWovKJJGSbpD0pV1x2JmZiNXe0EBjgJm1x2EmZm1ptaCImkdYHfg/DrjMDOz1tV9hHIW8BlgUc1xmJlZi2orKJL2AJ6OiFnDrDdNUr+k/jlz5rQpOivTzJkwaRL09GT3M2fWHZGZVaHOI5S3A3tJehS4BNhB0oyhK0XE9Ijoi4i+1Vdfvd0xWotmzoRp0+CxxyAiu582zUXFrBspIuqOAUnvBI6JiD2ardfX1xf9/f1ticnKMWlSVkSGmjgRHn203dGYLZ8kzYqIvqq3U3cfStdyM0/m8ceXbbmZpasjCkpE3Djc0UlKqmzmSa1QTZiwbMuXRWqfhdmSdNX3OCKSuW211VaRgokTI7JSMvg2cWJr7ztjRkRv7+D37O3NlrdqxowsPim7L+M9B963ipir/CzM2qVd32OgP9rwN7r2IrEst1QKirTkgiK19r4pFqqB9y+7WFX1WZi1U7u+x+0qKB3R5FWXqg41q2rmqao/4vjjYf78wcvmz8+Wl2Hq1KwDftGi7H7q1Nbfs8q+ma5qgrCO1m19jMttQamyn+PUU6G3d/Cy3t5seStSK1RVquqz8DBna6cq+xjrsNwWlCp/lU+dCtOnZ0Njpex++vTWf5mnVqiqVNVnUfXRWmqqOlqr8igwpSPMqr7HtWlHu1pZtzL7UKrq56haFf0RqXZwV/FZ+Hsx+D1TG1CR4ne5qgExjXCn/BKCZSt36lakHV/qFKT4vajqj2hVn0WVn3GK+68dXFCWUlBS+JVk6Urxe1HVH9GqjtaqPApM9QizKgM/FGGriDb8jU6yD6WMNu2q+jksbVV/L6po369qUEVVfWtV9tml2B9YlcYBJm3TjqpV1m3gCGV5/sVh6Uqtacp9KIu/d0rNwoO/F+05Qqm9SCxTsA0FZXlvE7X0pPaHf+C9q5pBoao/zikNUKjS4Oa/9hSUjphtuCipL6Cf3l43T1l6enqy/9pDSdlJn62YOTNrBn788ax559RT/f+jTCnOmj045j4i+lX1NpMrKBMn9vs/iyUpxT9Klqnyx0BVBvpQsvOq2lNQkuqU32qr8qbuMGu3rjuJbTmSYmd/4wCTdkmqoJilzCML05Xqj4GBefRgVtNLrZdlheFWkNQDvBVYC3gJuDci/lR1YGbdaOpUF5AUDewz91M1t9SCIml94FhgJ+AhYA4wFthQ0nzgPODCiOjQFkQzs/L4x8Dwmh2hnAKcC3w0hvTcS1oDOBA4GLiwuvDMzCwVSy0oEXFAk9eeBs6qIiAzM0vTsJ3ykj4oaXz++ARJP5a0ZfWhmZlZSoqM8vp8RMyVtD3wHrImrnOrDcvMzFJTpKAszO93B86NiCuAMdWFZGZmKSpSUJ6UdB6wL3CVpBUL/jszM1uOFCkM+wLXALtExPPA64F/qTIoMzNLT7PzUPqBm4Crgasi4q8AEfEU8FR7wjMzs1Q0O0J5G/AT4J3ALyVdJekoSRu2JTIzM0tKs/NQFgA35jckvRHYFThF0gbALRFxRBtiNDOzBAw7l9eAvKnrO8B38vm9tq0sKjMzS06RySH7gOOBiY3rR8TmFcZlZmaJKXKEMpNsVNc9gCeCNDOzJSpSUOZExM8qj8TMzJJWpKCcJOl84Hrg/wYWRsSPK4vKzMySU6SgHApsDIzm1SavAFxQzMzsFUUKylsjYrPKIzEzs6QVmXrlVklvqTwSMzNLWpGCsj1wp6QHJN0t6R5Jd7e6YUnrSrpB0mxJ90o6qtX3NDOz+hRp8tqlom0vAD4dEbfnF/CaJenaiLivou2ZmVmFmk0OuVJE/CUiHhtunZFsuHGSyfwCXrOBtQEXFDOzBDVr8rpC0pmS/kHSawYWSlpP0j9JuoaSjl4kTQK2AH5dxvuZmVn7NZscckdJuwEfBd4u6XVkzVQPAP8BfCgi/thqAJJWAi4Hjo6IF5fw+jRgGsCECRNa3ZyZmVVEEVHfxqXRwJXANRHxteHW7+vri/7+/uoDMzPrIpJmRURf1dup7VK+kgRcAMwuUkzMzKyz1Xlt+LcDBwM7SLozv+1WYzxmZtaCwtdDKVtE/ApQXds3M7NyFTpCkbS9pEPzx6tLmlxtWGZmlpphC4qkk4BjgePyRaOBGVUGZWZm6SlyhPJ+YC9gHkBE/AEYX2VQZmaWniIF5W+RjS0OgMaTHM3MzAYUKSiXSjoPWEXSR4DrgG9XG5aZmaVm2FFeEXGGpJ2BF4GNgBMj4trKIzMzs6QUGjacFxAXETMzW6phC4qkueT9J8AYslFe8yJi5SoDMzOztBRp8ho0okvS+4CtqwrIzMzStMxTr0TET4Edyg/FzMxSVqTJ6wMNT3uAPl5tAjMzMwOKdcrv2fB4AfAo8N5KojEzs2QV6UM5tB2BmJlZ2oo0eZ3d7PWIOLK8cMzMLFVFOuXHAlsCD+W3KcBCYFZ+MzMzK9SHsgHwroh4GUDSvwO/iIhPVhqZmZklpcgRyloMnl14pXyZmZnZK4ocoXwFuEPSDfnzdwBfqCwiMzNLUpFRXt+VdDWwTb7osxHxx2rDMjOz1Cy1yUvSxvn9lmRNXL/Pb2vly8zMzF7R7AjlU8A04MwlvBZ4+hUzM2uw1IISEdPyh7tGxF8bX5M0ttKozMwsOUVGed1ccJmZmS3HlnqEImlNYG1gnKQtAOUvrQz0tiE2MzNLSLM+lPcAHwbWAb7WsHwu8LkKYzIzswQ160O5ELhQ0t4RcXkbYzIzswQVOQ/lckm7A5uQzes1sPyLVQZmZmZpGbZTPp+7az/gE2T9KB8EJlYcl5mZJabIKK/tIuIQ4M8R8a/AtsC61YZlZmapKVJQXsrv50taC3gZmFxdSGZmlqIik0NeKWkV4HTgdrKz5L9dZVBmZpaeIp3yJ+cPL5d0JTA2Il6oNiwzM0tNkUsAjwWOALYnOzr5laRzh07HYmZmy7ciTV7fJzuZ8Zv58wOAi8hGe5mZmQHFCspGEfHWhuc3SLqrqoDMzCxNRUZ53SHpbQNPJG0D3FRdSGZmlqJmk0PeQ9ZnMho4RNLj+fOJwH1lbFzSLsA3gFHA+RHxlTLe18zM2q9Zk9ceVW5Y0ijgHGBn4AngN5J+FhGlFCszM2uvZpNDPtb4XNIaNMzlVYKtgd9FxMP5+18CvJfhjn5+/3s4+ODFl3/607DnnvDAA/DRjy7++gknwE47wZ13wtFHL/76l74E220HN98Mn1vCZMpnnQVTpsB118Eppyz++nnnwUYbwc9/Dmcu4SKXF10E664LP/whnHvu4q9fdhmsthp873vZbairroLeXvjWt+DSSxd//cYbs/szzoArrxz82rhxcPXV2eOTT4brrx/8+qqrwuX5/J/HHQe33DL49XXWgRkzssdHH519ho023BCmT88eT5sGDz44+PUpU7LPD+Cgg+CJJwa/vu228OUvZ4/33huefXbw6zvuCJ//fPZ4113hpZcGv77HHnDMMdnjd76Txey7LxxxBMyfD7vttvjrH/5wdnvmGdhnn8VfP/xw2G8/f/f83Uv3u9cmReby2kvSQ8AjwC+BR4GrS9j22mTXqB/wRL5s6PanSeqX1D9nzpwSNmtmZlVQRDRfIRvRtQNwXURsIeldwAENlwge2YalDwLviYjD8ucHA1tHxCeW9m/6+vqiv7+/lc2amS13JM2KiL6qt1NklNfLEfEs0COpJyJuAKaUsO0nGDzJ5DrAH0p4XzMzq0GR81Cel7QS8N/ATElPAwtK2PZvgA0kTQaeBPYHDizhfc3MrAZFjlDeC8wHPgn8J/C/lDACLCIWAP8MXAPMBi6NiHtbfV8zM6tHkSOUEyPiWGARcCGApK8Cx7a68Yi4Criq1fcxM7P6FTlC2XkJy3YtOxAzM0tbszPlDyebZXg9SXc3vDQeT71iZmZDNGvyupjsfJMvA59tWD43Ip6rNCozM0tOszPlXwBeIJuuvvFM+ZUkrRQRj7cnRDMzS0GRM+X3rOhMeTMz6yJFOuVPAd4GPBgRk4EdcR+KmZkNUeeZ8mZm1kXqPFPezMy6SNEz5V+i5DPlzcysuxQpKPtHxMKIWBARF0bE2cBnqg7MzMzSUqTJax9Jf42ImQCSzqHcC22ZmVkXKFJQPgD8TNIisilXnouIj1cblpmZpabZ1Cuvb3h6GPBTsuHCX5T0ep8tb2ZmjZodocwCAlDD/e75LYD1Ko/OzMyS0WzqlcntDMTMzNJWZJSXmZnZsFxQzMysFC4oZmZWiiKzDUvSQZJOzJ9PkLR19aGZmVlKihyhfAvYlvy6KMBc4JzKIjIzsyQVObFxm4jYUtIdABHxZ0ljKo7LzMwSU2j6ekmjyM49QdLqwKJKozIzs+QUKShnAz8B1pB0KvAr4EuVRmVmZskZtskrImZKmkV2pUYB74uI2ZVHZmZmSSkyymt94JGIOAf4LbCzpFWqDszMzNJSpMnrcmChpDcB5wOTgYsrjcrMzJJTpKAsiogFZNPYfyMiPgm8sdqwzMwsNUVHeR0AHAJcmS8bXV1IZmaWoiIF5VCyExtPjYhHJE0GZlQblpmZpabIKK/7gCMBJL0OGB8RX6k6MDMzS0uRUV43Slo5v4LjXcB3JX2t+tDMzCwlRZq8XhsRL5J1yn83IrYCdqo2LDMzS02RgrKCpDcC+/Jqp7yZmdkgRQrKF4FrgP+NiN9IWg94qNqwzMwsNUU65X8E/Kjh+cPA3lUGZWZm6SnSKb+hpOsl/TZ/vrmkE1rZqKTTJd0v6W5JP/FULmZm6SvS5PVt4DjgZYCIuBvYv8XtXgtsGhGbAw/m729mZgkrUlB6I+K2IcsWtLLRiPhFPp0LwK3AOq28n5mZ1a9IQXkmn3F44AJb+wBPlRjDPwJXl/h+ZmZWgyKXAP44MB3YWNKTwCPA1OH+kaTrgDWX8NLxEXFFvs7xZEc7M5u8zzRgGsCECRMKhGtmZnUoUlAiInaS9BqgJyLm5vN5DfePmp78KOlDwB7AjhERTd5nOllBo6+vb6nrmZlZvYpeD4WImBcRc/Nll7WyUUm7AMcCe0XE/Fbey8zMOsNSj1AkbQxsArxW0gcaXloZGNvidv8NWBG4VhLArRHxsRbf08zMatSsyWsjsiapVYA9G5bPBT7SykYj4k2t/HszM+s8Sy0oecf5FZK2jYhb2hiTmZklqFmT12ci4jTgwPyKjYNExJGVRmZmZklp1uR1X37f345AzMwsbc0Kyi6SnouIC9sWjZmZJavZsOGHgDMlPSrpq5KmtCkmMzNL0FILSkR8IyK2Bd4BPEd26d/Zkk6UtGHbIjQzsyQMe2JjRDwWEV+NiC2AA4H3A7Mrj8zMzJJS5HoooyXtKWkm2SSOD+ILbJmZ2RDNhg3vDBwA7A7cBlwCTIuIeW2KzczMEtJslNfngIuBYyLiuTbFY2ZmiWp2pvy72hmImZmlrchsw2ZmZsNyQTEzs1K4oJiZWSlcUMzMrBQuKGZmVgoXFDMzK4ULipmZlcIFxczMSuGCYmZmpXBBMTOzUrigmJlZKVxQzMysFC4oZmZWChcUMzMrhQuKmZmVwgXFzMxK4YJiZmalcEExM7NSuKCYmVkpXFDMzKwULihmZlYKFxQzMyuFC4qZmZXCBcXMzErhgmJmZqWotaBIOkZSSFqtzjjMzKx1tRUUSesCOwOP1xWDmZmVp84jlK8DnwGixhjMzKwktRQUSXsBT0bEXQXWnSapX1L/nDlz2hCdmZmNxApVvbGk64A1l/DS8cDngHcXeZ+ImA5MB+jr6/PRjJlZh6qsoETETktaLmkzYDJwlySAdYDbJW0dEX+sKh4zM6tWZQVlaSLiHmCNgeeSHgX6IuKZdsdiZmbl8XkoZmZWirYfoQwVEZPqjsHMzFrnIxQzMyuFC4qZmZXCBcXMzErhgmJmZqVwQTEzs1K4oJiZWSlcUMzMrBQuKGZmVgpFpDPfoqS5wAN1x1Gh1YBunoKmm/Pr5tzA+aVuo4gYX/VGaj9Tfhk9EBF9dQdRFUn9zi9N3ZwbOL/USepvx3bc5GVmZqVwQTEzs1KkVlCm1x1AxZxfuro5N3B+qWtLfkl1ypuZWedK7QjFzMw6lAuKmZmVwgUlQZJSG+5tDbz/0uV911zX9aFI2hIYCzwdEb+rO56ySdoVmAycFxEL646nbN5/6fK+S1sZ+6+rqq2kPYGvAr8F5kl6ISKOrjeq8kjaBTgNOLJLv9Def4nyvktbafsvIrriRlYcfwx8IH++IXAZcFHdsZWU3xTgd8AB+fNVgPWASXXH5v23fO8/77u0b2Xuv67pQ4mIBcDDwML8+YPAYcCKkk6rM7aSjAXuAeZL2o5sh38dOF3SKbVGVgLvv6QtpLv33TiyfTevC/cdwCJK2n/JF5QhnWR3AudKenP+/AXgZGBVSWu3O7YyDOQXEbcCZwMHABcAlwL7A6cDG0navLYgWyBpXMPTO+m+/dcL3bn/JK0FENnP2rvpvn23NkBE3AL8G3AgXbLvACRtJkkRsQi4gxL2X9J9KJJ2A3aTtDpwbETMyL/kF0s6ICLuB+6R9AbgDcCTdca7rJaQ3w2SFgITImJGvtptkgSMri3QEZK0O7CfpDHA8fn+W5Pu2X8D+a0IHJfvv5fJmkqS3n+StgcukPTvwFkR8f18P3XLvhua3/WS/kb2f29mvlqS+w5A0nvI+kz2B+6PiJkN//cOjIjZjGD/JXuEko+4OB34OfAs8D1J4yLiNGAG8F+S9pP0KWACMKe+aJfdEvL7bp7ffwOXNKz3PmAi8Kc64hyp/I/tKWS/+P4MnC2pJyLOAL4P3CBp/4T3X2N+zwHfzPP7FXBxw3rvI8H9R7bP/gSsC3xW0qiIOJ0u2He5xvyOzfP7H+AHAyukuu8k7QV8ATgiIu5vaAU5E7iQ7G/nyPZf3R1CI+xEWhmYCby/YdklwEENz/cDTiQrLpvXHXMJ+f2gMb982ceBu4BN6455GfPrzfPbJX++AfAT4Fhgk3zZ3gnvv6b5Aa9NfP8JWB+4GjiErDnoI8DGZD9S90l13y0lv2/m+W1EdoSS7L7LY/818Ov88RrAccDXgK3zZSP+v5fkeSiSRgGbAvcDCyNigaSvA09FdoTSuG5PZG2EyWiS3x8i+xU4sN67yHK+v6ZQR0zSyhHxoqTXAbcBVwDzycb5fy8irs/XS27/wVLzm0f2i/aiyJpQdgKeSHH/AUg6jqxQvhY4nmw01PsjYlb+epL7bsAS8tsM2Dsibpe0M/D7FPedpNHArcAfyAYc/ILsSOx1wPkRcWO+3jLvvySbvCIbB35/RPxfZKODAO4DXgaQ9F5JU/J1k/tCN8lvAbyS3xYRcUOKX+jcX/L7ecDUiDgmIk4kG5558MBKKe6/3JLyOwl4hDy/iLguxf2X/+CBrPivQzaC7e/IRkJtL6kH0t13TfK7D/j7/A/ttYnuu9ER8TLwNrKhzzdHxGkR8Qmy/3sfGlh3JPsviYKSd3yhzEDMGrJaDzBa0r7AmcDcNobYkhHm92IbQ2zJkPwG8hoNEBF/i4jbGpY/CryohKa46Ob8lpLbmPz+AuAg4CLgaLLv5cAv3SQsb/lFxMuSxudFZTPgpIa8HyP7bo5a2vsNq+72vIJtfmvm92Py+/HAOcAkoCdfdiDwFPBL4C11x+z8CuU3ech6/wTMIrF26W7Or0lu6wJvJhtCO9BXNA4YX3fMzq9QfusPWe+wMr6btSdc4APZFbiBbMTTqcCb8uWbDVlvS7JD7tT+2C73+QErAn3Az4bm3em3bs6vYG4r5/cr1B2v8xtRfiuQDTb4aRnfzdqTHuYD2Rh4CHg72eHZycBNwAb56wODCtbK71etO2bnN6L83pDfp/brr2vzK5DbqPx+3bpjdX4jym/guzlwBPOaMrbb6X0o44CbIuKmiLgHuJlseoALJE2OiJC0PvAFSb0R8Wyt0S4755fld7Kk10REMv1euW7Ob7jcFua5nSBppYZ2+FQs7/kNfDe/mH8355Wx0Y4eNixpDbIx0+dFxFckfQl4GlgJeDgiLpY0nuzXxPM1hjoizu+V/Hoi4oU6Yx2Jbs6vm3MD51dVfh1XUJRNvrYB2Rjv/1I2t8zlZHPNrArsQTa07c0RcUx9kY6M83N+naqbcwPnRxvy66ihi8pOFrqEbBK9oyRdAfyQrA1wDLAgspP8RgGjJK0Qr56n0fGcn/PrVN2cGzg/2pVfuzqJhruRnXdxHPCh/PkmwOeBM4C/b1jvULITcJIZLeP8nF8n37o5N+fX3vw6plM+soznAQcpm7biXrK5ZF4E/gFA0liyea52i6yjKRnOz/l1qm7ODZwftDG/uqvrkEr7erKqejjQmy/bjGzKg20HqnHdcTo/59dt+XVzbs6vffl1zBFK7nngN2QdSx/Oq+09ZJOXrQmvVONUPY/zc36d6Xm6Nzdwfm3Jr7ZRXpLGRMTfGp6Pimzs9yiy6ZO3yW//AXwK2CYiHq4l2BFwfs6vU3VzbuD8qDG/WgqKpHcD08jO5LwrIi7Jl/dExKL8JKKxZPNXjQOuj+wKYklwfs6vU3VzbuD86s6v7QVF0i5kl548g2zWzjdFxJENryc1XG8o5+f8OlU35wbOrxPya2sfirKzNw8EjoqIi8guILWppH2UXU6Tuj+QVjg/59epujk3cH7QGfnVcYSydkQ8KWlVstlX7yXrTDqM7Ep957Y1oJI5P+fXqbo5N3B+nZBfW86UVzax4XyAiHgyXzwGOCkirsvX+QvZCTnJcX7Or1N1c27g/PJ1Oia/ypu8JO0J3CRp6/x5jyRFxFMDH0huArCGXr1iYRKc3yucX4fp5tzA+TWs2jn5RbUn22xK1tb3HbKrgW2dL+8Zst7BwO1kk5bVfpKQ83N+qefXzbk5v87Nr+oP5Q3AIfnjw4G7hn4wwHbA/wCb1P1hOD/n1y35dXNuzq9z82vHB7NCw+OP5R/MNvnzifn9KnV/EM7P+XVbft2cm/PrzPzqGOX1MbI5+W8B1gcOjogX2xpEhZxf2ro5v27ODZxfJ6jrTPnLgHcAO0XEXW0PoGLOL23dnF835wbOr25tv8CWpB2BtwA7RGLTRBfh/NLWzfl1c27g/DpBHU1ebwTGRMRjbd1wmzi/tHVzft2cGzi/TtBx15Q3M7M01X8ijJmZdQUXFDMzK4ULipmZlcIFxczMSuGCYmZmpXBBMTOzUrigmJlZKf4fd3htWvugNwQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Ukat2=Umean2*np.cos(alpha2)+Vmean2*np.sin(alpha2)\n",
    "Ukat3=Umean3*np.cos(alpha3)+Vmean3*np.sin(alpha3)\n",
    "Vkat2=-Umean2*np.sin(alpha2)+Vmean2*np.cos(alpha2)\n",
    "Vkat3=-Umean3*np.sin(alpha3)+Vmean3*np.cos(alpha3)\n",
    "Unorm2=np.sqrt(Umean2**2+Vmean2**2)\n",
    "Unorm3=np.sqrt(Umean3**2+Vmean3**2)\n",
    "fig = plt.figure()\n",
    "plt.plot(Ukat2,'bo')\n",
    "plt.plot(Ukat3,'bo')\n",
    "plt.plot(Vkat2,'r--')\n",
    "plt.plot(Vkat3,'r--')\n",
    "#plt.plot(Unorm2,'g--')\n",
    "#plt.plot(Unorm3,'g--')\n",
    "#plt.plot(time_meteo, temperature_surf,'r--')\n",
    "plt.ylabel('Vitesse katabatique (m/s)')\n",
    "#tmin=np.datetime64('2023-02-11')\n",
    "#tmax=np.datetime64('2023-02-14')\n",
    "plt.xlim(tmin,tmax)\n",
    "#plt.xlim(datetime(2023,2,3,12), datetime(2023,2,21,22))\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"Ukat_GC_sonic.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6697798e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         YEAR  MONTH  DAY  HOUR  MINUTE  SECOND    RECORD     Ux_1     Uy_1  \\\n",
      "0        2015      4   11     0       0    0.05  86967737  1.36525 -0.05500   \n",
      "1        2015      4   11     0       0    0.10  86967738  1.38675 -0.02325   \n",
      "2        2015      4   11     0       0    0.15  86967739  1.33375 -0.01400   \n",
      "3        2015      4   11     0       0    0.20  86967740  1.39050  0.07175   \n",
      "4        2015      4   11     0       0    0.25  86967741  1.32025  0.00925   \n",
      "...       ...    ...  ...   ...     ...     ...       ...      ...      ...   \n",
      "1727995  2015      4   11    23      59   59.80  88695732  2.87225 -0.05750   \n",
      "1727996  2015      4   11    23      59   59.85  88695733  2.83850  0.03800   \n",
      "1727997  2015      4   11    23      59   59.90  88695734  2.87450  0.02300   \n",
      "1727998  2015      4   11    23      59   59.95  88695735  2.90925  0.05775   \n",
      "1727999  2015      4   12     0       0    0.00  88695736  2.88725 -0.11400   \n",
      "\n",
      "            Uz_1  ...     Uy_2     Uz_2  T_sonic_2  diag_csat_2     Ux_3  \\\n",
      "0        0.21475  ...  0.52050 -0.07350   2.601593           41  1.34125   \n",
      "1        0.29100  ...  0.54500 -0.07475   2.639679           42  1.31125   \n",
      "2        0.31025  ...  0.56200 -0.07475   2.611511           43  1.36075   \n",
      "3        0.29075  ...  0.47950 -0.24025   2.643005           44  1.28000   \n",
      "4        0.26350  ...  0.45250 -0.28775   2.661194           45  1.21625   \n",
      "...          ...  ...      ...      ...        ...          ...      ...   \n",
      "1727995 -0.20650  ...  0.36200 -0.34025   4.920929           36  2.81475   \n",
      "1727996 -0.22225  ...  0.34275 -0.28850   4.927582           37  2.70275   \n",
      "1727997 -0.20075  ...  0.38100 -0.32625   4.935852           38  2.79050   \n",
      "1727998 -0.24175  ...  0.42800 -0.31925   4.902618           39  2.73075   \n",
      "1727999 -0.15350  ...  0.48925 -0.26525   4.910919           40  2.77000   \n",
      "\n",
      "            Uy_3     Uz_3  T_sonic_3  diag_csat_3  Vbatt  \n",
      "0        0.47075 -0.15500   2.825256           41  12.65  \n",
      "1        0.54375 -0.18600   2.813690           42  12.65  \n",
      "2        0.40550 -0.14975   2.843536           43  12.65  \n",
      "3        0.35350 -0.17225   2.838562           44  12.65  \n",
      "4        0.29750 -0.26100   2.831909           45  12.65  \n",
      "...          ...      ...        ...          ...    ...  \n",
      "1727995  0.29475 -0.26600   5.240417           36  12.61  \n",
      "1727996  0.31725 -0.29400   5.272095           37  12.61  \n",
      "1727997  0.23350 -0.30325   5.245392           38  12.61  \n",
      "1727998  0.29475 -0.25425   5.263733           39  12.61  \n",
      "1727999  0.29450 -0.25625   5.260406           40  12.61  \n",
      "\n",
      "[1728000 rows x 23 columns]\n",
      "         year  month  day  hour  minute  second\n",
      "0        2015      4   11     0       0    0.05\n",
      "1        2015      4   11     0       0    0.10\n",
      "2        2015      4   11     0       0    0.15\n",
      "3        2015      4   11     0       0    0.20\n",
      "4        2015      4   11     0       0    0.25\n",
      "...       ...    ...  ...   ...     ...     ...\n",
      "1727995  2015      4   11    23      59   59.80\n",
      "1727996  2015      4   11    23      59   59.85\n",
      "1727997  2015      4   11    23      59   59.90\n",
      "1727998  2015      4   11    23      59   59.95\n",
      "1727999  2015      4   12     0       0    0.00\n",
      "\n",
      "[1728000 rows x 6 columns]\n",
      "0         2015-04-11 00:00:00.050\n",
      "1         2015-04-11 00:00:00.100\n",
      "2         2015-04-11 00:00:00.150\n",
      "3         2015-04-11 00:00:00.200\n",
      "4         2015-04-11 00:00:00.250\n",
      "                    ...          \n",
      "1727995   2015-04-11 23:59:59.800\n",
      "1727996   2015-04-11 23:59:59.850\n",
      "1727997   2015-04-11 23:59:59.900\n",
      "1727998   2015-04-11 23:59:59.950\n",
      "1727999   2015-04-12 00:00:00.000\n",
      "Length: 1728000, dtype: datetime64[ns]\n"
     ]
    }
   ],
   "source": [
    "#file_path = 'DATA_2022_08nov/sonicdata_2022_11_07_1356.dat'\n",
    "file_path = '/Users/cbrun/Documents/PROJETS/GC2014/DATA_GC2015/TOA5_TOB1_2095.kacosonic_csat_2015_04_11_0000.dat'\n",
    "#file_path = '/Users/cbrun/Documents/PROJETS/GC2014/DATA_GC2015/Campagne_complete_CSAT.dat'\n",
    "data_sonic = pd.read_csv(file_path, header=1)[0::]\n",
    "print(data_sonic)\n",
    "#time_sonic = pd.to_datetime(data_sonic['TIMESTAMP'])\n",
    "#pitch = data_meteo['csatB_Pitch'].astype(float)\n",
    "#roll = data_meteo['csatB_Roll'].astype(float)\n",
    "csat_u = data_sonic['Ux_1']#.astype(float) \n",
    "csat_v = data_sonic['Uy_1']#.astype(float) \n",
    "csat_w = data_sonic['Uz_1']#.astype(float) \n",
    "csat_t = data_sonic['T_sonic_1']#.astype(float) \n",
    "csat_y = data_sonic['YEAR']\n",
    "csat_m = data_sonic['MONTH']\n",
    "csat_d = data_sonic['DAY']\n",
    "csat_h = data_sonic['HOUR']\n",
    "csat_mi = data_sonic['MINUTE']\n",
    "csat_s = data_sonic['SECOND']\n",
    "#csat_n= data_sonic['RECORD'].astype(float)\n",
    "#time_sonic= data_sonic['RECORD']/20.\n",
    "time= pd.DataFrame({'year': csat_y, 'month': csat_m , \n",
    "                  'day': csat_d, 'hour': csat_h, \n",
    "                  'minute': csat_mi, 'second': csat_s} )\n",
    "print(time)\n",
    "time_sonic = pd.to_datetime(time, unit='s')\n",
    "print(time_sonic)\n",
    "#print(data_sonic)\n",
    "#print(pression)\n",
    "#print(np.shape(data_sonic))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fe82628a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#ds = nc.Dataset('DATA_2022_08nov/sonicdata_2022_11_07_1356.nc', 'w', format='NETCDF4')\n",
    "file_path = '/Users/cbrun/Documents/PROJETS/GC2014/DATA_GC2015/sonicdata.nc'\n",
    "ds = nc.Dataset(file_path, 'w', format='NETCDF4')\n",
    "\n",
    "ds.createDimension('t', 1728000)\n",
    "\n",
    "ti = ds.createVariable('time', 'f8', ('t'))\n",
    "u = ds.createVariable('u_csat', 'f8', ('t'))\n",
    "v = ds.createVariable('v_csat', 'f8', ('t'))\n",
    "w  = ds.createVariable('w_csat', 'f8', ('t'))\n",
    "temp  = ds.createVariable('temp_csat', 'f8', ('t'))\n",
    "\n",
    "ti[:] = time_sonic\n",
    "u[:] = csat_u\n",
    "v[:] = csat_v\n",
    "w[:] = csat_w\n",
    "temp[:] = csat_t\n",
    "ds.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "e05672cd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'netCDF4._netCDF4.Dataset'>\n",
      "root group (NETCDF4 data model, file format HDF5):\n",
      "    dimensions(sizes): t(1728000)\n",
      "    variables(dimensions): float64 time(t), float64 u_csat(t), float64 v_csat(t), float64 w_csat(t), float64 temp_csat(t)\n",
      "    groups: \n",
      "[1.4287104e+18 1.4287104e+18 1.4287104e+18 ... 1.4287968e+18 1.4287968e+18\n",
      " 1.4287968e+18]\n",
      "[1.36525 1.38675 1.33375 ... 2.8745  2.90925 2.88725]\n",
      "[3.306152 3.349274 3.389069 ... 5.473541 5.501862 5.536835]\n",
      "DatetimeIndex(['2015-04-11 00:00:00.049999872',\n",
      "                  '2015-04-11 00:00:00.100000',\n",
      "               '2015-04-11 00:00:00.150000128',\n",
      "                  '2015-04-11 00:00:00.200000',\n",
      "               '2015-04-11 00:00:00.249999872',\n",
      "                  '2015-04-11 00:00:00.300000',\n",
      "               '2015-04-11 00:00:00.350000128',\n",
      "                  '2015-04-11 00:00:00.400000',\n",
      "               '2015-04-11 00:00:00.449999872',\n",
      "                  '2015-04-11 00:00:00.500000',\n",
      "               ...\n",
      "               '2015-04-11 23:59:59.550000128',\n",
      "                  '2015-04-11 23:59:59.600000',\n",
      "               '2015-04-11 23:59:59.649999872',\n",
      "                  '2015-04-11 23:59:59.700000',\n",
      "               '2015-04-11 23:59:59.750000128',\n",
      "                  '2015-04-11 23:59:59.800000',\n",
      "               '2015-04-11 23:59:59.849999872',\n",
      "                  '2015-04-11 23:59:59.900000',\n",
      "               '2015-04-11 23:59:59.950000128',\n",
      "                         '2015-04-12 00:00:00'],\n",
      "              dtype='datetime64[ns]', length=1728000, freq=None)\n"
     ]
    }
   ],
   "source": [
    "file_path = '/Users/cbrun/Documents/PROJETS/GC2014/DATA_GC2015/sonicdata.nc'\n",
    "#file_path = '/Users/cbrun/Documents//UFR/M2_CLA/DATA_2022_13dec/meteo_2022_12_13.nc'\n",
    "r6 = nc.Dataset(file_path, 'r', format='NETCDF4')\n",
    "print(r6)\n",
    "print(r6['time'][:])\n",
    "print(r6['u_csat'][:])\n",
    "print(r6['temp_csat'][:])\n",
    "#time_meteo=r6['time'][:]\n",
    "time_meteo = pd.to_datetime(r6['time'][:])\n",
    "vitesse_x = r6['u_csat'][:]\n",
    "vitesse_y = r6['w_csat'][:]\n",
    "vitesse_z = r6['v_csat'][:]\n",
    "temperature=r6['temp_csat'][:]\n",
    "print(time_meteo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "38912f87",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2015-04-11 00:00:00.049999872    3.306152\n",
      "2015-04-11 00:00:00.100000000    3.349274\n",
      "2015-04-11 00:00:00.150000128    3.389069\n",
      "2015-04-11 00:00:00.200000000    3.316132\n",
      "2015-04-11 00:00:00.249999872    3.324432\n",
      "                                   ...   \n",
      "2015-04-11 23:59:59.800000000    5.468506\n",
      "2015-04-11 23:59:59.849999872    5.508514\n",
      "2015-04-11 23:59:59.900000000    5.473541\n",
      "2015-04-11 23:59:59.950000128    5.501862\n",
      "2015-04-12 00:00:00.000000000    5.536835\n",
      "Length: 1728000, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "#range=pd.date_range(\"2023-02-04\", \"2023-02-20\", freq=\"2min\")\n",
    "series = pd.Series(temperature,index=time_meteo)\n",
    "series = series.sort_index()\n",
    "df = pd.DataFrame(temperature,index=time_meteo)\n",
    "df = df.sort_index()\n",
    "#series2=series.truncate(after='1970-01-01 00:00:00.003478709')\n",
    "#series3=series.truncate(before='1970-01-01 00:00:00.003547829')\n",
    "#df = pd.DataFrame({'s': series})\n",
    "#Tmean = df.asfreq(freq='60S')\n",
    "print(series)\n",
    "#print(series3)\n",
    "#print(df)\n",
    "#pd.date_range(start='4/2/2023', stop='20/2/2023',freq='60S')\n",
    "df[df.index.duplicated()]\n",
    "#T2 = series2.asfreq(freq='2min')\n",
    "Tmean = series.resample('2min').mean()\n",
    "#T1h = series.resample('1H').mean()\n",
    "#series[series.index.duplicated()]\n",
    "#Tmean = series.asfreq(freq='2min')\n",
    "#print(Tmean2)\n",
    "#print(Tmean3)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "0ebf02b9",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(Tmean,'b--')\n",
    "#plt.plot(time_meteo, temperature_surf,'r--')\n",
    "plt.ylabel('Température (°C)')\n",
    "#plt.xlim(tmin,tmax)\n",
    "#plt.xlim(datetime(2023,2,3,12), datetime(2023,2,21,22))\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"T_GC2015_sonic.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "af74a7b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#vitesse_x = r5['v_csat'][:]\n",
    "#range=pd.date_range(\"2023-02-04\", \"2023-02-20\", freq=\"2min\")\n",
    "Useries = pd.Series(vitesse_x,index=time_meteo)\n",
    "Useries = Useries.sort_index()\n",
    "#df = pd.DataFrame(temperature,index=time_meteo)\n",
    "#df = df.sort_index()\n",
    "#Useries2=Useries.truncate(after='2023-02-08 19:11:54')\n",
    "#Useries3=Useries.truncate(before='2023-02-08 19:12:19.9')\n",
    "#df = pd.DataFrame({'s': series})\n",
    "#Tmean = df.asfreq(freq='60S')\n",
    "#print(series2)\n",
    "#print(series3)\n",
    "#print(df)\n",
    "#pd.date_range(start='4/2/2023', stop='20/2/2023',freq='60S')\n",
    "Useries[Useries.index.duplicated()]\n",
    "Umean = Useries.resample('2min').mean()\n",
    "#Umean3 = Useries3.resample('2min').mean()\n",
    "#series[series.index.duplicated()]\n",
    "#Tmean = series.asfreq(freq='2min')\n",
    "#print(Tmean2)\n",
    "#print(Tmean3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "69255cc9",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(Umean,'b--')\n",
    "#plt.plot(time_meteo, temperature_surf,'r--')\n",
    "plt.ylabel('Vitesse longitudinale (m/s)')\n",
    "#tmin=np.datetime64('2023-02-08')\n",
    "#tmax=np.datetime64('2023-02-14')\n",
    "#plt.xlim(tmin,tmax)\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"U_GC2015_sonic.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0911693f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#vitesse_x = r5['v_csat'][:]\n",
    "#range=pd.date_range(\"2023-02-04\", \"2023-02-20\", freq=\"2min\")\n",
    "Vseries = pd.Series(vitesse_y,index=time_meteo)\n",
    "Vseries = Vseries.sort_index()\n",
    "#df = pd.DataFrame(temperature,index=time_meteo)\n",
    "#df = df.sort_index()\n",
    "#Useries2=Useries.truncate(after='2023-02-08 19:11:54')\n",
    "#Useries3=Useries.truncate(before='2023-02-08 19:12:19.9')\n",
    "#df = pd.DataFrame({'s': series})\n",
    "#Tmean = df.asfreq(freq='60S')\n",
    "#print(series2)\n",
    "#print(series3)\n",
    "#print(df)\n",
    "#pd.date_range(start='4/2/2023', stop='20/2/2023',freq='60S')\n",
    "Vseries[Vseries.index.duplicated()]\n",
    "Vmean = Vseries.resample('2min').mean()\n",
    "#Umean3 = Useries3.resample('2min').mean()\n",
    "#series[series.index.duplicated()]\n",
    "#Tmean = series.asfreq(freq='2min')\n",
    "#print(Tmean2)\n",
    "#print(Tmean3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "99e5879b",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(Vmean,'b--')\n",
    "#plt.plot(time_meteo, temperature_surf,'r--')\n",
    "plt.ylabel('Vitesse spanwise (m/s)')\n",
    "#tmin=np.datetime64('2023-02-08')\n",
    "#tmax=np.datetime64('2023-02-14')\n",
    "#plt.xlim(tmin,tmax)\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"V_GC2015_sonic.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "e3e5e3cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#vitesse_x = r5['v_csat'][:]\n",
    "#range=pd.date_range(\"2023-02-04\", \"2023-02-20\", freq=\"2min\")\n",
    "Wseries = pd.Series(vitesse_z,index=time_meteo)\n",
    "Wseries = Wseries.sort_index()\n",
    "#df = pd.DataFrame(temperature,index=time_meteo)\n",
    "#df = df.sort_index()\n",
    "#Useries2=Useries.truncate(after='2023-02-08 19:11:54')\n",
    "#Useries3=Useries.truncate(before='2023-02-08 19:12:19.9')\n",
    "#df = pd.DataFrame({'s': series})\n",
    "#Tmean = df.asfreq(freq='60S')\n",
    "#print(series2)\n",
    "#print(series3)\n",
    "#print(df)\n",
    "#pd.date_range(start='4/2/2023', stop='20/2/2023',freq='60S')\n",
    "Wseries[Wseries.index.duplicated()]\n",
    "Wmean = Wseries.resample('2min').mean()\n",
    "#Umean3 = Useries3.resample('2min').mean()\n",
    "#series[series.index.duplicated()]\n",
    "#Tmean = series.asfreq(freq='2min')\n",
    "#print(Tmean2)\n",
    "#print(Tmean3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "abd60c2f",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "fig = plt.figure()\n",
    "plt.plot(Wmean,'b--')\n",
    "#plt.plot(time_meteo, temperature_surf,'r--')\n",
    "plt.ylabel('Vitesse verticale (m/s)')\n",
    "#tmin=np.datetime64('2023-02-08')\n",
    "#tmax=np.datetime64('2023-02-14')\n",
    "#plt.xlim(tmin,tmax)\n",
    "#ax = plt.gca()\n",
    "#hours = dates.HourLocator()\n",
    "#dfmt = dates.DateFormatter('%H:%M')\n",
    "plt.xticks(rotation=45)\n",
    "fig.savefig(\"W_GC2015_sonic.pdf\", bbox_inches='tight')\n",
    "#fig.savefig(\"T_Clairiere_2m.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a810eb3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "395aab1c",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
