002_READ_H5_OLD_METHOD.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "eb8382de",
   "metadata": {},
   "outputs": [],
   "source": [
    "import h5py\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "81f33798",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.set_printoptions(suppress=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c80564cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "fname = 'prev-AS-2017-03-01-000000-g1.h5'  # RAMS6.2 pnt funceme"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6a212017",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<KeysViewHDF5 ['precip', 'sfclat', 'sfclon', 't_coords', 'x_coords', 'y_coords', 'z_coords']>\n"
     ]
    }
   ],
   "source": [
    "with h5py.File(fname, 'r') as dset:\n",
    "    print(dset.keys())\n",
    "    precip = dset['/precip'][:]\n",
    "    lon = dset['/x_coords'][:]\n",
    "    lat = dset['/y_coords'][:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9c00cb43",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'numpy.ndarray'>\n"
     ]
    }
   ],
   "source": [
    "print(type(precip))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "108fae06",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(85, 115, 115)\n"
     ]
    }
   ],
   "source": [
    "print(precip.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3bce0368",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-19.232994   -19.011925   -18.790741   -18.56945    -18.34805\n",
      " -18.126543   -17.904928   -17.683205   -17.461384   -17.23946\n",
      " -17.017433   -16.795313   -16.573093   -16.350782   -16.128376\n",
      " -15.905873   -15.683284   -15.460607   -15.237842   -15.014995\n",
      " -14.792059   -14.569043   -14.345946   -14.122773   -13.899521\n",
      " -13.676196   -13.452795   -13.229323   -13.00578    -12.782167\n",
      " -12.558489   -12.3347435  -12.110936   -11.887068   -11.663136\n",
      " -11.439148   -11.2151     -10.990999   -10.766847   -10.542641\n",
      " -10.318383   -10.094077    -9.869725    -9.645329    -9.42089\n",
      "  -9.196405    -8.971885    -8.747324    -8.522728    -8.298097\n",
      "  -8.073433    -7.8487363   -7.6240115   -7.3992586   -7.1744795\n",
      "  -6.9496746   -6.7248483   -6.500001    -6.275134    -6.05025\n",
      "  -5.8253493   -5.600435    -5.3755083   -5.150572    -4.9256253\n",
      "  -4.700672    -4.4757133   -4.250751    -4.025787    -3.8008223\n",
      "  -3.5758593   -3.3508997   -3.1259449   -2.9009972   -2.6760576\n",
      "  -2.4511282   -2.2262108   -2.0013072   -1.7764193   -1.5515478\n",
      "  -1.3266954   -1.101864    -0.8770547   -0.65226907  -0.42750925\n",
      "  -0.20277745   0.02192528   0.24659736   0.47123632   0.69584167\n",
      "   0.9204104    1.1449413    1.3694333    1.5938826    1.8182905\n",
      "   2.042653     2.2669694    2.4912376    2.7154565    2.939623\n",
      "   3.1637368    3.3877966    3.6117985    3.8357434    4.0596266\n",
      "   4.2834496    4.5072083    4.730903     4.9545307    5.17809\n",
      "   5.401581     5.624997     5.848342     6.0716114    6.2948046 ]\n"
     ]
    }
   ],
   "source": [
    "print(lat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "27a81ab5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-51.852592 -51.62885  -51.405014 -51.181084 -50.957066 -50.732956\n",
      " -50.50876  -50.284477 -50.060112 -49.835663 -49.611137 -49.386528\n",
      " -49.161842 -48.937088 -48.712254 -48.487347 -48.262375 -48.037334\n",
      " -47.812218 -47.587048 -47.361816 -47.136517 -46.91116  -46.68574\n",
      " -46.460274 -46.23474  -46.00917  -45.78354  -45.557865 -45.332138\n",
      " -45.106365 -44.88055  -44.654697 -44.428806 -44.202866 -43.9769\n",
      " -43.750896 -43.524857 -43.29879  -43.072697 -42.846565 -42.620415\n",
      " -42.394245 -42.168045 -41.941833 -41.715595 -41.48935  -41.263077\n",
      " -41.0368   -40.81051  -40.58421  -40.357903 -40.131588 -39.90527\n",
      " -39.67895  -39.452637 -39.226315 -39.000004 -38.77369  -38.54739\n",
      " -38.321095 -38.09481  -37.868538 -37.642284 -37.416042 -37.18982\n",
      " -36.96362  -36.73744  -36.511276 -36.285145 -36.059036 -35.83296\n",
      " -35.606907 -35.380894 -35.15491  -34.928963 -34.703056 -34.47719\n",
      " -34.25136  -34.025578 -33.799835 -33.574142 -33.34849  -33.122902\n",
      " -32.897358 -32.671864 -32.44643  -32.221054 -31.995731 -31.77048\n",
      " -31.54528  -31.32015  -31.095081 -30.870085 -30.645157 -30.4203\n",
      " -30.195513 -29.970802 -29.74617  -29.521614 -29.29714  -29.072744\n",
      " -28.848434 -28.624207 -28.40007  -28.176018 -27.952055 -27.728186\n",
      " -27.50441  -27.28073  -27.05715  -26.833666 -26.610277 -26.386995\n",
      " -26.163816]\n"
     ]
    }
   ],
   "source": [
    "print(lon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2fa5a6b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0.          0.00000001  0.00089963  0.00239949  0.00240602  0.00241509\n",
      "  0.00241517  0.00241518  0.00241524  0.00241579  0.00251944  0.03305269\n",
      "  0.20589563  0.43184012  0.63024235  0.80688995  0.9387326   1.0603952\n",
      "  1.1898377   1.3564502   1.5867574   1.8807311   2.2366948   2.6127682\n",
      "  3.0145667   3.413075    3.7956457   4.204663    4.635234    5.0729203\n",
      "  5.498076    5.9153194   6.320456    6.680502    6.9985657   7.29378\n",
      "  7.5451026   7.7488437   7.903474    8.035091    8.14727     8.243364\n",
      "  8.334204    8.426662    8.532042    8.661287    8.850026    9.080803\n",
      "  9.343766    9.69018    10.088941   10.555556   10.984908   11.4415865\n",
      " 11.929772   12.441713   12.969286   13.494749   14.010137   14.543846\n",
      " 15.033871   15.43893    15.837631   16.182209   16.519608   16.866962\n",
      " 17.228249   17.613544   18.026442   18.490156   18.997324   19.512728\n",
      " 20.030836   20.553276   21.063972   21.563133   22.047157   22.505445\n",
      " 22.92437    23.285133   23.596657   23.859974   24.094149   24.336302\n",
      " 24.554523  ]\n"
     ]
    }
   ],
   "source": [
    "print(precip[:, 56, 56])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c4102319",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fd3abdffcc0>]"
      ]
     },
     "execution_count": 10,
     "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": [
    "plt.plot(precip[:, 30, 30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3036f2b3",
   "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",
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