dask-xr-example-dataset.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3cb3fe35",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr"
   ]
  },
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   "cell_type": "code",
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   "id": "5ded5b6d",
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   "outputs": [],
   "source": [
    "ds=xr.tutorial.open_dataset('air_temperature', chunks={'lat':25, 'lon':25,'time':-1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "225564d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 4 B </td>\n",
       "                        <td> 4.0 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> () </td>\n",
       "                        <td> () </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 10 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        \n",
       "        </td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "dask.array<amax-aggregate, shape=(), dtype=float32, chunksize=(), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.air.data.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "469c498b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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