dask_anna.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask.distributed import Client\n",
    "import numpy as np\n",
    "import dask.array as da\n",
    "import dask\n",
    "import time\n",
    "import xarray as xr\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table style=\"border: 2px solid white;\">\n",
       "<tr>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3>Client</h3>\n",
       "<ul>\n",
       "  <li><b>Scheduler: </b>tcp://127.0.0.1:63227\n",
       "  <li><b>Dashboard: </b><a href='http://127.0.0.1:63228/status' target='_blank'>http://127.0.0.1:63228/status</a>\n",
       "</ul>\n",
       "</td>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3>Cluster</h3>\n",
       "<ul>\n",
       "  <li><b>Workers: </b>4</li>\n",
       "  <li><b>Cores: </b>4</li>\n",
       "  <li><b>Memory: </b>17.18 GB</li>\n",
       "</ul>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Client: scheduler='tcp://127.0.0.1:63227' processes=4 cores=4>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client = Client()\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#client.cluster.scale_up(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_time = 100\n",
    "\n",
    "@dask.delayed\n",
    "def run_sim(a, b):\n",
    "    return np.random.randn(n_time) + a + b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_sims = 10\n",
    "\n",
    "a_vals = np.random.randn(n_sims)\n",
    "b_vals = np.random.randn(n_sims)\n",
    "\n",
    "out = da.stack([da.from_delayed(run_sim(*args), (100,), np.float64)\n",
    "                for args in zip(a_vals, b_vals)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = xr.DataArray(out, dims=['realization', 'time'], name='model_data')\n",
    "ds = xr.Dataset({'sim': data},\n",
    "                coords={'a': ('realization', a_vals),\n",
    "                        'b': ('realization', b_vals)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Oder vielleicht\n",
    "data = xr.DataArray(out, dims=['realization', 'time'], name='model_data')\n",
    "ds = xr.Dataset(\n",
    "    {'sim': data},\n",
    "    coords={'params': (('realization', 'param'), np.stack([a_vals, b_vals]).T),\n",
    "            'param': np.array(['a', 'b']),\n",
    "            'realization': pd.RangeIndex(n_sims),\n",
    "            'time': pd.RangeIndex(n_time)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dask.visualize(ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ds = ds.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds.to_netcdf('out.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Oder wieder öffnen...\n",
    "ds = xr.open_dataset('out.nc', chunks={'realization': 1000}, engine='h5netcdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (param: 2, realization: 10)\n",
       "Coordinates:\n",
       "  * realization  (realization) int64 0 1 2 3 4 5 6 7 8 9\n",
       "  * param        (param) object 'a' 'b'\n",
       "    time         (realization) int64 53 59 47 26 41 99 75 28 37 56\n",
       "    params       (realization, param) float64 dask.array<shape=(10, 2), chunksize=(10, 2)>\n",
       "Data variables:\n",
       "    sim          (realization) float64 dask.array<shape=(10,), chunksize=(10,)>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Where is the max of each day?\n",
    "ds.sim.argmax(dim='time')\n",
    "# Select the values at the argmax. This might actually\n",
    "# load everything into memory though...\n",
    "# Check with visualize.\n",
    "ds.sel(time=ds.sim.argmax(dim='time'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [default]",
   "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}