Pangeo-Coiled-Demo.ipynb

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  {
   "cell_type": "markdown",
   "id": "81fe39ba-ff68-40e3-adf8-01f6dabb8a19",
   "metadata": {},
   "source": [
    "# Pangeo - Coiled Webinar Demo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b1b3698c-cb35-47b4-a486-43b77d5afb8a",
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   "source": [
    "import intake\n",
    "import hvplot.xarray\n",
    "import holoviews as hv\n",
    "from xhistogram.xarray import histogram\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be8da7c3-eb15-4887-95bd-81dd4edca108",
   "metadata": {},
   "source": [
    "## Open data from Intake catalog\n",
    "\n",
    "Zarr in Google Cloud Storage, opened with Xarray"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38a27799-ee7e-46b4-a1b4-5bb616617322",
   "metadata": {},
   "outputs": [],
   "source": [
    "cat = intake.open_catalog(\"https://raw.githubusercontent.com/pangeo-data/pangeo-datastore/master/intake-catalogs/ocean/CESM_POP.yaml\")\n",
    "ds = cat['CESM_POP_hires_control'](chunks=None).to_dask().reset_coords()\n",
    "ds"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de04e337-1c62-43e1-a5d9-7e375a40a815",
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   "outputs": [],
   "source": [
    "ds.nbytes/1e12"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "126b2166-dbe6-4b44-bc15-15656eb2c73e",
   "metadata": {},
   "source": [
    "## Interactive exploration with Holoviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "519d567d-5b1a-4e84-b77d-d90597beca24",
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   "source": [
    "hv.output(widget_location='bottom', widget_type='scrubber')\n",
    "opts = dict(kind='image', x='nlon', y='nlat', rasterize=True, width=800, height=400)\n",
    "\n",
    "(ds.SST.hvplot(cmap='magma', label='Temperature', **opts).opts(bgcolor='lightgray') +\n",
    " ds.SSS.hvplot(cmap='viridis', label='Salinity', **opts).opts(bgcolor='lightgray'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af7c85d5-a851-40e9-9796-7431f2b16c7b",
   "metadata": {},
   "source": [
    "## Compute some Joint Histograms of Temperature and Salinity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cca53eb7-be8e-4327-96e9-1336586006a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "t_bins = np.linspace(-2, 30, 500)\n",
    "s_bins = np.linspace(30, 40, 500)\n",
    "\n",
    "dsc = ds.chunk({\"time\": \"auto\"})\n",
    "ts_hist = histogram(dsc.SSS, dsc.SST, bins=[s_bins, t_bins], dim=('nlon', 'nlat'))\n",
    "ts_hist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22729d53-7939-4820-bd81-2a3acf08a86f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib.colors import LogNorm\n",
    "test_plot = ts_hist[0]\n",
    "test_plot = test_plot.where(test_plot > 0)\n",
    "test_plot.plot(x='SSS_bin', norm=LogNorm(), figsize=(12, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "474657fd-a963-4e13-9441-a15019e58707",
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0a89de9b-15ed-492e-949b-689dc6242594",
   "metadata": {},
   "outputs": [],
   "source": [
    "with cluster.get_client():\n",
    "    ts_mean = ts_hist.mean('time').compute()\n",
    "ts_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "23740d48-2c42-4273-8bba-ddca8bef582f",
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       "  * SST_bin  (SST_bin) float64 -1.968 -1.904 -1.84 -1.776 ... 29.84 29.9 29.97</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'histogram_SSS_SST'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>SSS_bin</span>: 499</li><li><span class='xr-has-index'>SST_bin</span>: 499</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-89a1d425-7d31-4d93-9777-3ae8fe1a5ab9' class='xr-array-in' type='checkbox' checked><label for='section-89a1d425-7d31-4d93-9777-3ae8fe1a5ab9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(499, 499), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >499</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">499</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-90976568-43cc-463e-81b7-d0db4840dd87' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90976568-43cc-463e-81b7-d0db4840dd87' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>SSS_bin</span></div><div class='xr-var-dims'>(SSS_bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>30.01 30.03 30.05 ... 39.97 39.99</div><input id='attrs-661f5b00-4bf9-431b-a60a-f7652a2b719c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-661f5b00-4bf9-431b-a60a-f7652a2b719c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b6266ca-74e0-406a-bc6b-ce948f104442' class='xr-var-data-in' type='checkbox'><label for='data-1b6266ca-74e0-406a-bc6b-ce948f104442' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>long_name :</span></dt><dd>Surface Salinity</dd><dt><span>units :</span></dt><dd>gram/kilogram</dd></dl></div><div class='xr-var-data'><pre>array([30.01002, 30.03006, 30.0501 , ..., 39.9499 , 39.96994, 39.98998])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>SST_bin</span></div><div class='xr-var-dims'>(SST_bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.968 -1.904 -1.84 ... 29.9 29.97</div><input id='attrs-7d377057-08c2-4cb0-868a-a07d21b2b077' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d377057-08c2-4cb0-868a-a07d21b2b077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab0ee77d-74b3-4d81-8427-a0a3947e7c70' class='xr-var-data-in' type='checkbox'><label for='data-ab0ee77d-74b3-4d81-8427-a0a3947e7c70' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>long_name :</span></dt><dd>Surface Potential Temperature</dd><dt><span>units :</span></dt><dd>degC</dd></dl></div><div class='xr-var-data'><pre>array([-1.967936, -1.903808, -1.839679, ..., 29.839679, 29.903808, 29.967936])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-65d8a295-b8f2-46ab-a7b0-3434ef6fab45' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-65d8a295-b8f2-46ab-a7b0-3434ef6fab45' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'histogram_SSS_SST' (SSS_bin: 499, SST_bin: 499)>\n",
       "dask.array<mean_agg-aggregate, shape=(499, 499), dtype=float64, chunksize=(499, 499), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * SSS_bin  (SSS_bin) float64 30.01 30.03 30.05 30.07 ... 39.95 39.97 39.99\n",
       "  * SST_bin  (SST_bin) float64 -1.968 -1.904 -1.84 -1.776 ... 29.84 29.9 29.97"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_mean.plot(x='SSS_bin', norm=LogNorm(), figsize=(12, 8))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c80e1f40-dd60-46ae-a9ec-c5493e095c7e",
   "metadata": {},
   "source": [
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   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8989cad3-841c-4cb8-8cfc-941ef557239e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask_gateway/client.py:21: FutureWarning: format_bytes is deprecated and will be removed in a future release. Please use dask.utils.format_bytes instead.\n",
      "  from distributed.utils import LoopRunner, format_bytes\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c3c9e68f02a145c1905820893bac753a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HTML(value='<h2>GatewayCluster</h2>'), HBox(children=(HTML(value='\\n<div>\\n<style scoped>\\n    …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from dask_gateway import Gateway\n",
    "gateway = Gateway()\n",
    "cluster = gateway.new_cluster(worker_cores=1, worker_memory=10)\n",
    "cluster.scale(30)\n",
    "cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "5f280c95-715c-47d9-9f2b-dc2a610957f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster.scale(0)\n",
    "cluster.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e4aa93b7-2abb-4196-8e3f-2126d42cce46",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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