{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import xarray\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create dummy data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "D    = 27.0\n",
    "nx   = 1\n",
    "ny   = 100\n",
    "nz   = 100\n",
    "nt   = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_1d = np.zeros((nx)) + 2.0*D\n",
    "y_1d = np.linspace(-100.0,100.0,ny)\n",
    "z_1d = np.linspace(0.0,150.0,nz)\n",
    "t_1d = np.linspace(1.0,10.0,nt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The velocities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "U = np.zeros((nt,nx,ny,nz)) + 8.0 + np.random.random(nt*nx*ny*nz).reshape((nt,nx,ny,nz))\n",
    "V = np.zeros((nt,nx,ny,nz)) + 0.0 + np.random.random(nt*nx*ny*nz).reshape((nt,nx,ny,nz))\n",
    "W = np.zeros((nt,nx,ny,nz)) + 0.0 + (np.random.random(nt*nx*ny*nz)/10.0).reshape((nt,nx,ny,nz))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of U is (10, 1, 100, 100)\n",
      "Shape of V is (10, 1, 100, 100)\n",
      "Shape of W is (10, 1, 100, 100)\n"
     ]
    }
   ],
   "source": [
    "print(\"Shape of U is {0}\".format(U.shape))\n",
    "print(\"Shape of V is {0}\".format(V.shape))\n",
    "print(\"Shape of W is {0}\".format(W.shape))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Use xarray to create DataArrays, then Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "U = xarray.DataArray(data=U, \n",
    "                     dims=(\"t\",\"x\",\"y\",\"z\"), \n",
    "                     coords={\"t\":t_1d,\"x\":x_1d,\"y\":y_1d,\"z\":z_1d}, \n",
    "                     name=\"U\",\n",
    "                     attrs={\"long_name\":\"streamwise wind component\",\"units\":\"m/s\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "V = xarray.DataArray(data=V, \n",
    "                     dims=(\"t\",\"x\",\"y\",\"z\"), \n",
    "                     coords={\"t\":t_1d,\"x\":x_1d,\"y\":y_1d,\"z\":z_1d}, \n",
    "                     name=\"V\",\n",
    "                     attrs={\"long_name\":\"cross-stream wind component\",\"units\":\"m/s\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "W = xarray.DataArray(data=W, \n",
    "                     dims=(\"t\",\"x\",\"y\",\"z\"), \n",
    "                     coords={\"t\":t_1d,\"x\":x_1d,\"y\":y_1d,\"z\":z_1d}, \n",
    "                     name=\"W\",\n",
    "                     attrs={\"long_name\":\"vertical wind component\",\"units\":\"m/s\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = xarray.Dataset(data_vars={\"U\":U,\"V\":V,\"W\":W})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.Dataset>\n",
      "Dimensions:  (t: 10, x: 1, y: 100, z: 100)\n",
      "Coordinates:\n",
      "  * y        (y) float64 -100.0 -97.98 -95.96 -93.94 -91.92 -89.9 -87.88 ...\n",
      "  * x        (x) float64 54.0\n",
      "  * z        (z) float64 0.0 1.515 3.03 4.545 6.061 7.576 9.091 10.61 12.12 ...\n",
      "  * t        (t) float64 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0\n",
      "Data variables:\n",
      "    U        (t, x, y, z) float64 8.009 8.517 8.523 8.476 8.372 8.134 8.929 ...\n",
      "    W        (t, x, y, z) float64 0.02459 0.08172 0.08009 0.05176 0.02645 ...\n",
      "    V        (t, x, y, z) float64 0.4738 0.6106 0.5741 0.9404 0.8365 0.3637 ...\n"
     ]
    }
   ],
   "source": [
    "print(dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# See what it looks like"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1112af750>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xarray.plot.pcolormesh(U.loc[t_1d[0],x_1d[0],:,:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Save as NetCDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset.to_netcdf(path=\"../file_templates/template_181008_uvw_2D.nc\",mode='w')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
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