xarray_stack_dask.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import xarray\n",
    "import dask.array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray 'wrapped-402b256c100221b96a9092bff27269f3' (dim_0: 10, dim_1: 6, dim_2: 6)>\n",
       "dask.array<wrapped..., shape=(10, 6, 6), dtype=float64, chunksize=(5, 3, 3)>\n",
       "Coordinates:\n",
       "  * dim_0    (dim_0) int64 0 1 2 3 4 5 6 7 8 9\n",
       "  * dim_1    (dim_1) int64 0 1 2 3 4 5\n",
       "  * dim_2    (dim_2) int64 0 1 2 3 4 5"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = xarray.DataArray(dask.array.ones((10, 6, 6), chunks=(5, 3, 3)))\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((5, 5), (3, 3), (3, 3))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.chunks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray 'wrapped-402b256c100221b96a9092bff27269f3' (dim_0: 10, stacked: 36)>\n",
       "dask.array<stack-d..., shape=(10, 36), dtype=float64, chunksize=(1, 3)>\n",
       "Coordinates:\n",
       "  * dim_0    (dim_0) int64 0 1 2 3 4 5 6 7 8 9\n",
       "  * stacked  (stacked) object (0, 0) (0, 1) (0, 2) (0, 3) (0, 4) (0, 5) ..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b = a.stack(stacked=['dim_1', 'dim_2'])\n",
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1, 1, 1, 1, 1, 1, 1, 1, 1, 1), (3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3))"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Expected: ((5, 5), (9, 9))\n",
    "b.chunks"
   ]
  }
 ],
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  "language_info": {
   "codemirror_mode": {
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   "file_extension": ".py",
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