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coiled_drift_test.ipynb
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "4b6a0c24-dc55-4a0f-a7aa-10e6d1f70c6d", | |
| "metadata": {}, | |
| "source": [ | |
| "# OpenDrift horizontal scaling using Coiled" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "e6f54e92-04fc-4451-86b7-168d196d7364", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import os\n", | |
| "import tempfile\n", | |
| "import coiled\n", | |
| "import numpy as np\n", | |
| "import xarray as xr\n", | |
| "\n", | |
| "import pandas as pd\n", | |
| "import intake\n", | |
| "from opendrift.readers import reader_ROMS_native\n", | |
| "from opendrift.models.oceandrift import OceanDrift\n", | |
| "import datetime " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "1f5e89c7-4a8a-4f3a-a782-55c14f65cde4", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# Step 1: Get a list of all start_dates\n", | |
| "granules = pd.date_range(start='2012-01', end='2012-02', freq='28D').to_pydatetime()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "id": "0b092106-b00a-4c69-9410-0e123b090202", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "array([datetime.datetime(2012, 1, 1, 0, 0),\n", | |
| " datetime.datetime(2012, 1, 29, 0, 0)], dtype=object)" | |
| ] | |
| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "granules" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "id": "72909cd7-9134-40bb-8bf9-6d9411561cb4", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# Step 2: Create a function to process each file.\n", | |
| "# Load and subset each data granule / file.\n", | |
| "@coiled.function(\n", | |
| " region=\"us-east-1\", # Run in the same region as data\n", | |
| " account='fathom-mgray',\n", | |
| " spot_policy=\"spot_with_fallback\", # Use spot instances when available\n", | |
| " memory=\"16GB\",\n", | |
| " keepalive='5 minutes',\n", | |
| " software='odrift-d7')\n", | |
| "def process(start_time):\n", | |
| " intake_catalog = 'https://mghp.osn.xsede.org/rsignellbucket1/rsignell/CNAPS/cnaps_intake.yml'\n", | |
| " cat = intake.open_catalog(intake_catalog)\n", | |
| " dataset = 'CNAPS_Forecast_Archive_cache' # all years, read from OSN\n", | |
| " dset = cat[dataset]\n", | |
| " dset.kwargs['decode_times'] = False\n", | |
| " ds = dset.read_chunked()\n", | |
| " cnaps = reader_ROMS_native.Reader(ds) \n", | |
| " \n", | |
| " with tempfile.TemporaryDirectory() as tmpdir:\n", | |
| " ncfile = f'{tmpdir}/opendrift_{start_time.strftime(\"%Y%m%d\")}.nc'\n", | |
| " o = OceanDrift(loglevel=50) # Set loglevel to 0 for debug information\n", | |
| " o.add_reader(cnaps)\n", | |
| " o.seed_elements(lon=-70.462, lat=42.807, radius=1000, number=10, \n", | |
| " z=np.linspace(0, -150, 10), time=start_time) \n", | |
| " o.run(time_step=3600, duration=datetime.timedelta(days=7), outfile=ncfile)\n", | |
| " ds = xr.open_dataset(ncfile).load()\n", | |
| " return ds" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "id": "6ce27e14-5801-468c-a09b-5ffa04cf0801", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# run with Distributed locally\n", | |
| "#from dask.distributed import Client\n", | |
| "#client = Client(n_workers=2) # 2 workers @ 8GB on \"large nebari environment\"\n", | |
| "\n", | |
| "#futures = client.map(process, granules)\n", | |
| "#results = client.gather(futures)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 25, | |
| "id": "be4dbc93-1358-486e-a763-e7d0f9581888", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# Step 3: Run Coiled function on each file in parallel\n", | |
| "results = process.map(granules) # This runs on the cloud in parallel" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 26, | |
| "id": "fcee4615-34f8-497e-a975-34084c6307fe", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# Step 4: Combine and plot results\n", | |
| "x = list(results)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 27, | |
| "id": "63371e28-cb76-4681-9b60-66b339305741", | |
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| "</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'lon' (trajectory: 10, time: 169)>\n", | |
| "array([[-70.44043 , -70.43675 , -70.43298 , ..., -70.06403 , -70.06316 ,\n", | |
| " -70.062355],\n", | |
| " [-70.45711 , -70.45687 , -70.4566 , ..., -70.28879 , -70.28684 ,\n", | |
| " -70.28488 ],\n", | |
| " [-70.450035, -70.45089 , -70.45173 , ..., -70.32512 , -70.3252 ,\n", | |
| " -70.32532 ],\n", | |
| " ...,\n", | |
| " [-70.46385 , -70.46406 , -70.464294, ..., -70.50577 , -70.50623 ,\n", | |
| " -70.50671 ],\n", | |
| " [-70.463264, -70.46353 , -70.46381 , ..., -70.50462 , -70.50507 ,\n", | |
| " -70.50553 ],\n", | |
| " [-70.45698 , -70.45713 , -70.45731 , ..., -70.49809 , -70.498535,\n", | |
| " -70.498985]], dtype=float32)\n", | |
| "Coordinates:\n", | |
| " * trajectory (trajectory) int32 1 2 3 4 5 6 7 8 9 10\n", | |
| " * time (time) datetime64[ns] 2012-01-29 ... 2012-02-05\n", | |
| "Attributes:\n", | |
| " units: degrees_east\n", | |
| " standard_name: longitude\n", | |
| " long_name: longitude\n", | |
| " minval: -70.5201\n", | |
| " maxval: -70.062355</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lon'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>trajectory</span>: 10</li><li><span class='xr-has-index'>time</span>: 169</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-08e71065-f450-4d45-b835-0bb1191957a1' class='xr-array-in' type='checkbox' checked><label for='section-08e71065-f450-4d45-b835-0bb1191957a1' 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>-70.44 -70.44 -70.43 -70.43 -70.43 ... -70.5 -70.5 -70.5 -70.5 -70.5</span></div><div class='xr-array-data'><pre>array([[-70.44043 , -70.43675 , -70.43298 , ..., -70.06403 , -70.06316 ,\n", | |
| " -70.062355],\n", | |
| " [-70.45711 , -70.45687 , -70.4566 , ..., -70.28879 , -70.28684 ,\n", | |
| " -70.28488 ],\n", | |
| " [-70.450035, -70.45089 , -70.45173 , ..., -70.32512 , -70.3252 ,\n", | |
| " -70.32532 ],\n", | |
| " ...,\n", | |
| " [-70.46385 , -70.46406 , -70.464294, ..., -70.50577 , -70.50623 ,\n", | |
| " -70.50671 ],\n", | |
| " [-70.463264, -70.46353 , -70.46381 , ..., -70.50462 , -70.50507 ,\n", | |
| " -70.50553 ],\n", | |
| " [-70.45698 , -70.45713 , -70.45731 , ..., -70.49809 , -70.498535,\n", | |
| " -70.498985]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-f4b8b3f2-a4e0-495d-a784-bb867d7fcd0c' class='xr-section-summary-in' type='checkbox' checked><label for='section-f4b8b3f2-a4e0-495d-a784-bb867d7fcd0c' 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'>trajectory</span></div><div class='xr-var-dims'>(trajectory)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10</div><input id='attrs-08a76203-040a-421b-b285-2e77ffa9c101' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08a76203-040a-421b-b285-2e77ffa9c101' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f1e8b21-2754-41c9-87ee-0befae8534de' class='xr-var-data-in' type='checkbox'><label for='data-9f1e8b21-2754-41c9-87ee-0befae8534de' 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>cf_role :</span></dt><dd>trajectory_id</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], dtype=int32)</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'>2012-01-29 ... 2012-02-05</div><input id='attrs-688cc7ac-abd4-4e28-8fcb-6655a2c96870' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-688cc7ac-abd4-4e28-8fcb-6655a2c96870' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-086840f2-f8cd-4295-b191-d9dc7cb57c35' class='xr-var-data-in' type='checkbox'><label for='data-086840f2-f8cd-4295-b191-d9dc7cb57c35' 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(['2012-01-29T00:00:00.000000000', '2012-01-29T01:00:00.000000000',\n", | |
| " '2012-01-29T02:00:00.000000000', '2012-01-29T03:00:00.000000000',\n", | |
| " '2012-01-29T04:00:00.000000000', '2012-01-29T05:00:00.000000000',\n", | |
| " '2012-01-29T06:00:00.000000000', '2012-01-29T07:00:00.000000000',\n", | |
| " '2012-01-29T08:00:00.000000000', '2012-01-29T09:00:00.000000000',\n", | |
| " '2012-01-29T10:00:00.000000000', '2012-01-29T11:00:00.000000000',\n", | |
| " '2012-01-29T12:00:00.000000000', '2012-01-29T13:00:00.000000000',\n", | |
| " '2012-01-29T14:00:00.000000000', '2012-01-29T15:00:00.000000000',\n", | |
| " '2012-01-29T16:00:00.000000000', '2012-01-29T17:00:00.000000000',\n", | |
| " '2012-01-29T18:00:00.000000000', '2012-01-29T19:00:00.000000000',\n", | |
| " '2012-01-29T20:00:00.000000000', '2012-01-29T21:00:00.000000000',\n", | |
| " '2012-01-29T22:00:00.000000000', '2012-01-29T23:00:00.000000000',\n", | |
| " '2012-01-30T00:00:00.000000000', '2012-01-30T01:00:00.000000000',\n", | |
| " '2012-01-30T02:00:00.000000000', '2012-01-30T03:00:00.000000000',\n", | |
| " '2012-01-30T04:00:00.000000000', '2012-01-30T05:00:00.000000000',\n", | |
| " '2012-01-30T06:00:00.000000000', '2012-01-30T07:00:00.000000000',\n", | |
| " '2012-01-30T08:00:00.000000000', '2012-01-30T09:00:00.000000000',\n", | |
| " '2012-01-30T10:00:00.000000000', '2012-01-30T11:00:00.000000000',\n", | |
| " '2012-01-30T12:00:00.000000000', '2012-01-30T13:00:00.000000000',\n", | |
| " '2012-01-30T14:00:00.000000000', '2012-01-30T15:00:00.000000000',\n", | |
| " '2012-01-30T16:00:00.000000000', '2012-01-30T17:00:00.000000000',\n", | |
| " '2012-01-30T18:00:00.000000000', '2012-01-30T19:00:00.000000000',\n", | |
| " '2012-01-30T20:00:00.000000000', '2012-01-30T21:00:00.000000000',\n", | |
| " '2012-01-30T22:00:00.000000000', '2012-01-30T23:00:00.000000000',\n", | |
| " '2012-01-31T00:00:00.000000000', '2012-01-31T01:00:00.000000000',\n", | |
| " '2012-01-31T02:00:00.000000000', '2012-01-31T03:00:00.000000000',\n", | |
| " '2012-01-31T04:00:00.000000000', '2012-01-31T05:00:00.000000000',\n", | |
| " '2012-01-31T06:00:00.000000000', '2012-01-31T07:00:00.000000000',\n", | |
| " '2012-01-31T08:00:00.000000000', '2012-01-31T09:00:00.000000000',\n", | |
| " '2012-01-31T10:00:00.000000000', '2012-01-31T11:00:00.000000000',\n", | |
| " '2012-01-31T12:00:00.000000000', '2012-01-31T13:00:00.000000000',\n", | |
| " '2012-01-31T14:00:00.000000000', '2012-01-31T15:00:00.000000000',\n", | |
| " '2012-01-31T16:00:00.000000000', '2012-01-31T17:00:00.000000000',\n", | |
| " '2012-01-31T18:00:00.000000000', '2012-01-31T19:00:00.000000000',\n", | |
| " '2012-01-31T20:00:00.000000000', '2012-01-31T21:00:00.000000000',\n", | |
| " '2012-01-31T22:00:00.000000000', '2012-01-31T23:00:00.000000000',\n", | |
| " '2012-02-01T00:00:00.000000000', '2012-02-01T01:00:00.000000000',\n", | |
| " '2012-02-01T02:00:00.000000000', '2012-02-01T03:00:00.000000000',\n", | |
| " '2012-02-01T04:00:00.000000000', '2012-02-01T05:00:00.000000000',\n", | |
| " '2012-02-01T06:00:00.000000000', '2012-02-01T07:00:00.000000000',\n", | |
| " '2012-02-01T08:00:00.000000000', '2012-02-01T09:00:00.000000000',\n", | |
| " '2012-02-01T10:00:00.000000000', '2012-02-01T11:00:00.000000000',\n", | |
| " '2012-02-01T12:00:00.000000000', '2012-02-01T13:00:00.000000000',\n", | |
| " '2012-02-01T14:00:00.000000000', '2012-02-01T15:00:00.000000000',\n", | |
| " '2012-02-01T16:00:00.000000000', '2012-02-01T17:00:00.000000000',\n", | |
| " '2012-02-01T18:00:00.000000000', '2012-02-01T19:00:00.000000000',\n", | |
| " '2012-02-01T20:00:00.000000000', '2012-02-01T21:00:00.000000000',\n", | |
| " '2012-02-01T22:00:00.000000000', '2012-02-01T23:00:00.000000000',\n", | |
| " '2012-02-02T00:00:00.000000000', '2012-02-02T01:00:00.000000000',\n", | |
| " '2012-02-02T02:00:00.000000000', '2012-02-02T03:00:00.000000000',\n", | |
| " '2012-02-02T04:00:00.000000000', '2012-02-02T05:00:00.000000000',\n", | |
| " '2012-02-02T06:00:00.000000000', '2012-02-02T07:00:00.000000000',\n", | |
| " '2012-02-02T08:00:00.000000000', '2012-02-02T09:00:00.000000000',\n", | |
| " '2012-02-02T10:00:00.000000000', '2012-02-02T11:00:00.000000000',\n", | |
| " '2012-02-02T12:00:00.000000000', '2012-02-02T13:00:00.000000000',\n", | |
| " '2012-02-02T14:00:00.000000000', '2012-02-02T15:00:00.000000000',\n", | |
| " '2012-02-02T16:00:00.000000000', '2012-02-02T17:00:00.000000000',\n", | |
| " '2012-02-02T18:00:00.000000000', '2012-02-02T19:00:00.000000000',\n", | |
| " '2012-02-02T20:00:00.000000000', '2012-02-02T21:00:00.000000000',\n", | |
| " '2012-02-02T22:00:00.000000000', '2012-02-02T23:00:00.000000000',\n", | |
| " '2012-02-03T00:00:00.000000000', '2012-02-03T01:00:00.000000000',\n", | |
| " '2012-02-03T02:00:00.000000000', '2012-02-03T03:00:00.000000000',\n", | |
| " '2012-02-03T04:00:00.000000000', '2012-02-03T05:00:00.000000000',\n", | |
| " '2012-02-03T06:00:00.000000000', '2012-02-03T07:00:00.000000000',\n", | |
| " '2012-02-03T08:00:00.000000000', '2012-02-03T09:00:00.000000000',\n", | |
| " '2012-02-03T10:00:00.000000000', '2012-02-03T11:00:00.000000000',\n", | |
| " '2012-02-03T12:00:00.000000000', '2012-02-03T13:00:00.000000000',\n", | |
| " '2012-02-03T14:00:00.000000000', '2012-02-03T15:00:00.000000000',\n", | |
| " '2012-02-03T16:00:00.000000000', '2012-02-03T17:00:00.000000000',\n", | |
| " '2012-02-03T18:00:00.000000000', '2012-02-03T19:00:00.000000000',\n", | |
| " '2012-02-03T20:00:00.000000000', '2012-02-03T21:00:00.000000000',\n", | |
| " '2012-02-03T22:00:00.000000000', '2012-02-03T23:00:00.000000000',\n", | |
| " '2012-02-04T00:00:00.000000000', '2012-02-04T01:00:00.000000000',\n", | |
| " '2012-02-04T02:00:00.000000000', '2012-02-04T03:00:00.000000000',\n", | |
| " '2012-02-04T04:00:00.000000000', '2012-02-04T05:00:00.000000000',\n", | |
| " '2012-02-04T06:00:00.000000000', '2012-02-04T07:00:00.000000000',\n", | |
| " '2012-02-04T08:00:00.000000000', '2012-02-04T09:00:00.000000000',\n", | |
| " '2012-02-04T10:00:00.000000000', '2012-02-04T11:00:00.000000000',\n", | |
| " '2012-02-04T12:00:00.000000000', '2012-02-04T13:00:00.000000000',\n", | |
| " '2012-02-04T14:00:00.000000000', '2012-02-04T15:00:00.000000000',\n", | |
| " '2012-02-04T16:00:00.000000000', '2012-02-04T17:00:00.000000000',\n", | |
| " '2012-02-04T18:00:00.000000000', '2012-02-04T19:00:00.000000000',\n", | |
| " '2012-02-04T20:00:00.000000000', '2012-02-04T21:00:00.000000000',\n", | |
| " '2012-02-04T22:00:00.000000000', '2012-02-04T23:00:00.000000000',\n", | |
| " '2012-02-05T00:00:00.000000000'], dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4c72a84c-b2b1-4a65-ab1f-3af7555b953f' class='xr-section-summary-in' type='checkbox' ><label for='section-4c72a84c-b2b1-4a65-ab1f-3af7555b953f' class='xr-section-summary' >Indexes: <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-index-name'><div>trajectory</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3b4a43cb-24bf-41f4-9d80-ddebadc38893' class='xr-index-data-in' type='checkbox'/><label for='index-3b4a43cb-24bf-41f4-9d80-ddebadc38893' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], dtype='int64', name='trajectory'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-700f27ee-1798-40a3-9a73-318832ae1d8b' class='xr-index-data-in' type='checkbox'/><label for='index-700f27ee-1798-40a3-9a73-318832ae1d8b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2012-01-29 00:00:00', '2012-01-29 01:00:00',\n", | |
| " '2012-01-29 02:00:00', '2012-01-29 03:00:00',\n", | |
| " '2012-01-29 04:00:00', '2012-01-29 05:00:00',\n", | |
| " '2012-01-29 06:00:00', '2012-01-29 07:00:00',\n", | |
| " '2012-01-29 08:00:00', '2012-01-29 09:00:00',\n", | |
| " ...\n", | |
| " '2012-02-04 15:00:00', '2012-02-04 16:00:00',\n", | |
| " '2012-02-04 17:00:00', '2012-02-04 18:00:00',\n", | |
| " '2012-02-04 19:00:00', '2012-02-04 20:00:00',\n", | |
| " '2012-02-04 21:00:00', '2012-02-04 22:00:00',\n", | |
| " '2012-02-04 23:00:00', '2012-02-05 00:00:00'],\n", | |
| " dtype='datetime64[ns]', name='time', length=169, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6f1c41d7-742a-4bf0-8a6d-a9679fe52a12' class='xr-section-summary-in' type='checkbox' checked><label for='section-6f1c41d7-742a-4bf0-8a6d-a9679fe52a12' 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>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>minval :</span></dt><dd>-70.5201</dd><dt><span>maxval :</span></dt><dd>-70.062355</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.DataArray 'lon' (trajectory: 10, time: 169)>\n", | |
| "array([[-70.44043 , -70.43675 , -70.43298 , ..., -70.06403 , -70.06316 ,\n", | |
| " -70.062355],\n", | |
| " [-70.45711 , -70.45687 , -70.4566 , ..., -70.28879 , -70.28684 ,\n", | |
| " -70.28488 ],\n", | |
| " [-70.450035, -70.45089 , -70.45173 , ..., -70.32512 , -70.3252 ,\n", | |
| " -70.32532 ],\n", | |
| " ...,\n", | |
| " [-70.46385 , -70.46406 , -70.464294, ..., -70.50577 , -70.50623 ,\n", | |
| " -70.50671 ],\n", | |
| " [-70.463264, -70.46353 , -70.46381 , ..., -70.50462 , -70.50507 ,\n", | |
| " -70.50553 ],\n", | |
| " [-70.45698 , -70.45713 , -70.45731 , ..., -70.49809 , -70.498535,\n", | |
| " -70.498985]], dtype=float32)\n", | |
| "Coordinates:\n", | |
| " * trajectory (trajectory) int32 1 2 3 4 5 6 7 8 9 10\n", | |
| " * time (time) datetime64[ns] 2012-01-29 ... 2012-02-05\n", | |
| "Attributes:\n", | |
| " units: degrees_east\n", | |
| " standard_name: longitude\n", | |
| " long_name: longitude\n", | |
| " minval: -70.5201\n", | |
| " maxval: -70.062355" | |
| ] | |
| }, | |
| "execution_count": 27, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "x[1].lon" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "22396d80-0c8b-46f5-9433-a61e36410271", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "nebari-git-nebari-git-opendrift", | |
| "language": "python", | |
| "name": "conda-env-nebari-git-nebari-git-opendrift-py" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.11.6" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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