docs/notebooks/03_ohlc_temperature.ipynb

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    "# Uncomment to run the notebook in Colab\n",
    "# ! pip install -q \"wax-ml[complete]@git+https://github.com/eserie/wax-ml.git\"\n",
    "# ! pip install -q --upgrade jax jaxlib==0.1.70+cuda111 -f https://storage.googleapis.com/jax-releases/jax_releases.html"
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   "id": "fcd5df29",
   "metadata": {},
   "outputs": [],
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    "# check available devices\n",
    "import jax"
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  },
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   "id": "60b41e7d",
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   "outputs": [
    {
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     "output_type": "stream",
     "text": [
      "WARNING:absl:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n",
      "WARNING:absl:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n"
     ]
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    {
     "name": "stdout",
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     "text": [
      "jax backend cpu\n"
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       "[CpuDevice(id=0)]"
      ]
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     "execution_count": 3,
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     "output_type": "execute_result"
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    "print(\"jax backend {}\".format(jax.lib.xla_bridge.get_backend().platform))\n",
    "jax.devices()"
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   "id": "a7b16967",
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    "# 🌡 Binning temperatures 🌡\n",
    "\n",
    "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/eserie/wax-ml/blob/main/docs/notebooks/03_ohlc_temperature.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6659cec8",
   "metadata": {},
   "source": [
    "Let's again considering the air temperatures dataset.\n",
    "It is sampled at an hourly resolution.\n",
    "We will make \"trailing\" air temperature bins during each day and \"reset\" the bin\n",
    "aggregation process at each day change."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c5885014",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as onp\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "85cb3461",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from wax.accessors import register_wax_accessors\n",
    "from wax.modules import OHLC, HasChanged\n",
    "\n",
    "register_wax_accessors()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d5ddde23",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "dataset = xr.tutorial.open_dataset(\"air_temperature\")\n",
    "dataset[\"date\"] = dataset.time.dt.date.astype(onp.datetime64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7d6c1277",
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   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 25, lon: 53, time: 2920)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
       "Data variables:\n",
       "    air      (time, lat, lon) float32 ...\n",
       "    date     (time) datetime64[ns] 2013-01-01 2013-01-01 ... 2014-12-31\n",
       "Attributes:\n",
       "    Conventions:  COARDS\n",
       "    title:        4x daily NMC reanalysis (1948)\n",
       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
       "    platform:     Model\n",
       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b8a750b3-ee1e-4133-b5f7-9c887bcb5c8e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b8a750b3-ee1e-4133-b5f7-9c887bcb5c8e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f836d764-bc54-4c85-ae65-230ac5a4b53d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f836d764-bc54-4c85-ae65-230ac5a4b53d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-4756a7fb-8e1b-4fab-8196-a6c346c23112' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4756a7fb-8e1b-4fab-8196-a6c346c23112' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f19c05d-b9ff-4893-8558-5054b73b5c08' class='xr-var-data-in' type='checkbox'><label for='data-2f19c05d-b9ff-4893-8558-5054b73b5c08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
       "       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-eb1a59ca-6423-4279-a212-a9fab3f9d2ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb1a59ca-6423-4279-a212-a9fab3f9d2ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8b66bfc-6f41-4319-80c0-2786b641b837' class='xr-var-data-in' type='checkbox'><label for='data-b8b66bfc-6f41-4319-80c0-2786b641b837' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-5420ffe0-0bd6-4f5d-987c-b03e140bb26d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5420ffe0-0bd6-4f5d-987c-b03e140bb26d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0c5598f-076c-4f0f-9e98-1d8835bd4eb4' class='xr-var-data-in' type='checkbox'><label for='data-a0c5598f-076c-4f0f-9e98-1d8835bd4eb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4184cf16-26fa-4733-be9c-0ba8581f04d3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4184cf16-26fa-4733-be9c-0ba8581f04d3' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ae82b4dd-0273-4f0a-a9d2-c3c64695a0d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae82b4dd-0273-4f0a-a9d2-c3c64695a0d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4954b39e-a16d-4022-84d5-5abdd0366fde' class='xr-var-data-in' type='checkbox'><label for='data-4954b39e-a16d-4022-84d5-5abdd0366fde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>[3869000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31</div><input id='attrs-843d0ff3-715c-47a8-b3b1-1b318b7c826d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-843d0ff3-715c-47a8-b3b1-1b318b7c826d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-447dd89c-e1b5-426f-ac63-6b13a503d366' class='xr-var-data-in' type='checkbox'><label for='data-447dd89c-e1b5-426f-ac63-6b13a503d366' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-01-01T00:00:00.000000000&#x27;, ...,\n",
       "       &#x27;2014-12-31T00:00:00.000000000&#x27;, &#x27;2014-12-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-31T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-200a7eaa-f9f1-4b18-9d5f-838eec3f2502' class='xr-section-summary-in' type='checkbox'  checked><label for='section-200a7eaa-f9f1-4b18-9d5f-838eec3f2502' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis\n",
       "(4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 25, lon: 53, time: 2920)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
       "Data variables:\n",
       "    air      (time, lat, lon) float32 ...\n",
       "    date     (time) datetime64[ns] 2013-01-01 2013-01-01 ... 2014-12-31\n",
       "Attributes:\n",
       "    Conventions:  COARDS\n",
       "    title:        4x daily NMC reanalysis (1948)\n",
       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
       "    platform:     Model\n",
       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6392b8fb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def bin_temperature(da):\n",
    "    day_change = HasChanged()(da[\"date\"])\n",
    "    return OHLC()(da[\"air\"], reset_on=day_change)\n",
    "\n",
    "\n",
    "output, state = dataset.wax.stream().apply(\n",
    "    bin_temperature, format_dims=onp.array(dataset.air.dims)\n",
    ")\n",
    "output = xr.Dataset(output._asdict())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6dbd87d7",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = output.isel(lat=0, lon=0).drop([\"lat\", \"lon\"]).to_pandas().loc[\"2013-01\"]\n",
    "_ = df.plot(figsize=(12, 8), title=\"Trailing Open-High-Low-Close temperatures\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42acd8cb",
   "metadata": {
    "tags": []
   },
   "source": [
    "## The `UpdateOnEvent` module\n",
    "\n",
    "The `OHLC` module uses the primitive `wax.modules.UpdateOnEvent`.\n",
    "\n",
    "Its implementation required to complete Haiku with a central function\n",
    "`set_params_or_state_dict` which we have actually integrated in this WAX-ML module.\n",
    "\n",
    "We have opened an [issue on the Haiku github](https://github.com/deepmind/dm-haiku/issues/126)\n",
    "to integrate it in Haiku."
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "encoding": "# -*- coding: utf-8 -*-",
   "formats": "ipynb,py,md"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}