hima8_pv/nc文件加载出太阳辐照数据.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import netCDF4 as nc"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "from osgeo import gdal, osr, ogr"
   ],
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     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "source": [
    "data = r\"D:\\Datasets\\Himawari\\pub\\L2_PAR\\20221107\\18\\H08_20221107_1800_RFL020_FLDK.02401_02401.nc\"\n",
    "nc_data = nc.Dataset(data)\n",
    "nc_data"
   ],
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    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "list(nc_data.variables.keys())"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "nc_data['PAR']"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "nc_data['latitude']"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "par = np.asarray(nc_data['PAR'][:])\n",
    "par"
   ],
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    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "import pandas as pd"
   ],
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    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "lat = list(map(lambda x: round(x, 2), np.asarray(nc_data['latitude'][:])))\n",
    "lon = list(map(lambda x: round(x, 2), np.asarray(nc_data['longitude'][:])))\n",
    "print(len(lat), len(lon))\n",
    "latMin, latMax, lonMin, lonMax = min(lat), max(lat), min(lon), max(lon)"
   ],
   "metadata": {
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    "pycharm": {
     "name": "#%%\n"
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "# 分辨率\n",
    "lat_Res = (latMax - latMin) / (lat.shape[0]-1)\n",
    "lon_Res = (lonMax - lonMin) / (lon.shape[0]-1)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "cols = [str(x) for x in lat]\n",
    "rows = [str(x) for x in lon]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "par_df = pd.DataFrame.from_records(par)\n",
    "par_df.columns = cols\n",
    "par_df.index = rows"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
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