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lsetiawan/InvestigatePC.ipynb Secret

Created December 15, 2023 23:35
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InvestigatePC.ipynb
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"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "5021d804-c3a0-49b7-9b6c-8eadfb7430bd",
"metadata": {},
"outputs": [],
"source": [
"import echopype as ep\n",
"import numpy as np\n",
"from pathlib import Path\n",
"from echopype.testing import TEST_DATA_FOLDER\n",
"import xarray as xr\n",
"from dask.utils import memory_repr\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "dae8553c",
"metadata": {},
"outputs": [],
"source": [
"ek80_path = TEST_DATA_FOLDER / \"ek80\"\n",
"ek80_raw_path = str(ek80_path.joinpath(\"D20170912-T234910.raw\"))"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "660f32b5",
"metadata": {},
"outputs": [
{
"name": "stderr",
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"text": [
"/Users/lsetiawan/Repos/SSEC/echopype/echopype/utils/coding.py:87: UserWarning: Times can't be serialized faithfully to int64 with requested units 'seconds since 1900-01-01T00:00:00+00:00'. Resolution of 'microseconds' needed. Serializing times to floating point instead. Set encoding['dtype'] to integer dtype to serialize to int64. Set encoding['dtype'] to floating point dtype to silence this warning.\n",
" encoded_data, _, _ = coding.times.encode_cf_datetime(\n",
"/Users/lsetiawan/Repos/SSEC/echopype/echopype/utils/coding.py:87: UserWarning: Times can't be serialized faithfully to int64 with requested units 'seconds since 1900-01-01T00:00:00+00:00'. Resolution of 'microseconds' needed. Serializing times to floating point instead. Set encoding['dtype'] to integer dtype to serialize to int64. Set encoding['dtype'] to floating point dtype to silence this warning.\n",
" encoded_data, _, _ = coding.times.encode_cf_datetime(\n",
"/Users/lsetiawan/Repos/SSEC/echopype/echopype/utils/coding.py:87: UserWarning: Times can't be serialized faithfully to int64 with requested units 'seconds since 1900-01-01T00:00:00+00:00'. Resolution of 'microseconds' needed. Serializing times to floating point instead. Set encoding['dtype'] to integer dtype to serialize to int64. Set encoding['dtype'] to floating point dtype to silence this warning.\n",
" encoded_data, _, _ = coding.times.encode_cf_datetime(\n",
"/Users/lsetiawan/Repos/SSEC/echopype/echopype/utils/coding.py:87: UserWarning: Times can't be serialized faithfully to int64 with requested units 'seconds since 1900-01-01T00:00:00+00:00'. Resolution of 'microseconds' needed. Serializing times to floating point instead. Set encoding['dtype'] to integer dtype to serialize to int64. Set encoding['dtype'] to floating point dtype to silence this warning.\n",
" encoded_data, _, _ = coding.times.encode_cf_datetime(\n",
"/Users/lsetiawan/Repos/SSEC/echopype/echopype/utils/coding.py:87: UserWarning: Times can't be serialized faithfully to int64 with requested units 'seconds since 1900-01-01T00:00:00+00:00'. Resolution of 'microseconds' needed. Serializing times to floating point instead. Set encoding['dtype'] to integer dtype to serialize to int64. Set encoding['dtype'] to floating point dtype to silence this warning.\n",
" encoded_data, _, _ = coding.times.encode_cf_datetime(\n",
"/Users/lsetiawan/Repos/SSEC/echopype/echopype/utils/coding.py:87: UserWarning: Times can't be serialized faithfully to int64 with requested units 'seconds since 1900-01-01T00:00:00+00:00'. Resolution of 'microseconds' needed. Serializing times to floating point instead. Set encoding['dtype'] to integer dtype to serialize to int64. Set encoding['dtype'] to floating point dtype to silence this warning.\n",
" encoded_data, _, _ = coding.times.encode_cf_datetime(\n",
"/Users/lsetiawan/Repos/SSEC/echopype/echopype/utils/coding.py:87: UserWarning: Times can't be serialized faithfully to int64 with requested units 'seconds since 1900-01-01T00:00:00+00:00'. Resolution of 'nanoseconds' needed. Serializing times to floating point instead. Set encoding['dtype'] to integer dtype to serialize to int64. Set encoding['dtype'] to floating point dtype to silence this warning.\n",
" encoded_data, _, _ = coding.times.encode_cf_datetime(\n"
]
}
],
"source": [
"echodata = ep.open_raw(ek80_raw_path, sonar_model=\"EK80\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "210961fa",
"metadata": {},
"outputs": [],
"source": [
"cal_obj = ep.calibrate.calibrate_ek.CalibrateEK80(\n",
" echodata,\n",
" env_params=None,\n",
" cal_params=None,\n",
" waveform_mode=\"BB\",\n",
" encode_mode=\"complex\",\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "f4e398e1",
"metadata": {},
"outputs": [],
"source": [
"beam_group = echodata[\"Sonar/Beam_group1\"]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "39cce73c",
"metadata": {},
"outputs": [],
"source": [
"coeff = ep.calibrate.ek80_complex.get_filter_coeff(\n",
" echodata[\"Vendor_specific\"].sel(channel=cal_obj.chan_sel)\n",
")"
]
},
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"cell_type": "code",
"execution_count": 7,
"id": "3975f42e",
"metadata": {},
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"name": "stdout",
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"text": [
"The starting data size is 271.2 MB\n"
]
}
],
"source": [
"print(f\"The starting data size is {memory_repr(beam_group.nbytes)}\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "513b9517",
"metadata": {},
"outputs": [],
"source": [
"# Duplicate data across time\n",
"br = beam_group\n",
"br_list = []\n",
"current_br = br\n",
"for i in range(20):\n",
" if i != 0:\n",
" new_br = current_br.copy()\n",
" pt_array = current_br[\"ping_time\"].data\n",
" end_time = pt_array[-1] + (pt_array[-1] - pt_array[0])\n",
" ping_times = pd.date_range(start=pt_array[-1] + np.timedelta64(1, \"s\"), end=end_time, periods=pt_array.size)\n",
" \n",
" new_br[\"ping_time\"] = ping_times\n",
" current_br = new_br\n",
" br_list.append(current_br)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "d8dd18b8",
"metadata": {},
"outputs": [],
"source": [
"beam = xr.concat(br_list, dim=\"ping_time\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "7695b980",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Expanded data size is 5.3 GB\n"
]
}
],
"source": [
"print(f\"Expanded data size is {memory_repr(beam.nbytes)}\")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "9a35ceaa",
"metadata": {},
"outputs": [],
"source": [
"chirp, _ = ep.calibrate.ek80_complex.get_transmit_signal(\n",
" beam_group,\n",
" coeff,\n",
" \"BB\",\n",
" cal_obj.cal_params[\"receiver_sampling_frequency\"],\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "3d85b2ac",
"metadata": {},
"outputs": [
{
"data": {
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},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Chunk the data along ping time and save to zarr\n",
"beam.chunk({\"ping_time\": 100}).to_zarr(\"./test_beam.zarr\", mode=\"w\")"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "22c62c28",
"metadata": {},
"outputs": [],
"source": [
"# Reopen the data\n",
"delayed_beam = xr.open_dataset(\"./test_beam.zarr\", engine=\"zarr\", chunks={})\n",
"eager_beam = xr.open_dataset(\"./test_beam.zarr\", engine=\"zarr\").compute()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "0b475c08",
"metadata": {},
"outputs": [
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;backscatter_r&#x27; (channel: 2, ping_time: 1760,\n",
" range_sample: 25229, beam: 4)&gt;\n",
"dask.array&lt;open_dataset-backscatter_r, shape=(2, 1760, 25229, 4), dtype=float64, chunksize=(2, 100, 25229, 4), chunktype=numpy.ndarray&gt;\n",
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" * range_sample (range_sample) int64 0 1 2 3 4 ... 25225 25226 25227 25228\n",
"Attributes:\n",
" long_name: Raw backscatter measurements (real part)\n",
" units: dB</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'>'backscatter_r'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 2</li><li><span class='xr-has-index'>ping_time</span>: 1760</li><li><span class='xr-has-index'>range_sample</span>: 25229</li><li><span class='xr-has-index'>beam</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9fb3a713-d72f-4c63-aabc-c4e702b89df7' class='xr-array-in' type='checkbox' checked><label for='section-9fb3a713-d72f-4c63-aabc-c4e702b89df7' 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=(2, 100, 25229, 4), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
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" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 2.65 GiB </td>\n",
" <td> 153.99 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (2, 1760, 25229, 4) </td>\n",
" <td> (2, 100, 25229, 4) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 18 chunks in 2 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-3aa241ab-46d9-49e4-ab10-336d8ac92c84' class='xr-section-summary-in' type='checkbox' checked><label for='section-3aa241ab-46d9-49e4-ab10-336d8ac92c84' class='xr-section-summary' >Coordinates: <span>(4)</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'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>&lt;U21</div><div class='xr-var-preview xr-preview'>&#x27;1&#x27; &#x27;2&#x27; &#x27;3&#x27; &#x27;4&#x27;</div><input id='attrs-94ea2ef9-5bc8-4d55-a815-3e17a7bb3fc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94ea2ef9-5bc8-4d55-a815-3e17a7bb3fc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7660068a-c1ee-46f2-a16f-a6808f4c6aa0' class='xr-var-data-in' type='checkbox'><label for='data-7660068a-c1ee-46f2-a16f-a6808f4c6aa0' 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>Beam name</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1&#x27;, &#x27;2&#x27;, &#x27;3&#x27;, &#x27;4&#x27;], dtype=&#x27;&lt;U21&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U22</div><div class='xr-var-preview xr-preview'>&#x27;WBT 545612-15 ES200-7C&#x27; &#x27;WBT 54...</div><input id='attrs-b0902791-7afc-4094-b425-8fe2ddc19c59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0902791-7afc-4094-b425-8fe2ddc19c59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee3f979b-6489-41d7-9907-8c00b1928e02' class='xr-var-data-in' type='checkbox'><label for='data-ee3f979b-6489-41d7-9907-8c00b1928e02' 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>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 545612-15 ES200-7C&#x27;, &#x27;WBT 549762-15 ES70-7C&#x27;], dtype=&#x27;&lt;U22&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ping_time</span></div><div class='xr-var-dims'>(ping_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-09-12T23:49:10.723866112 .....</div><input id='attrs-2c54b789-67f4-4545-af5f-ac1f1f1003a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c54b789-67f4-4545-af5f-ac1f1f1003a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ed34c64-6a3d-41b6-a42e-af99022fd953' class='xr-var-data-in' type='checkbox'><label for='data-3ed34c64-6a3d-41b6-a42e-af99022fd953' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamp of each ping</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2017-09-12T23:49:10.723866112&#x27;, &#x27;2017-09-12T23:49:12.253952000&#x27;,\n",
" &#x27;2017-09-12T23:49:13.043997184&#x27;, ..., &#x27;2017-09-13T00:09:33.616883712&#x27;,\n",
" &#x27;2017-09-13T00:09:34.200251392&#x27;, &#x27;2017-09-13T00:09:34.783619072&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_sample</span></div><div class='xr-var-dims'>(range_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 25225 25226 25227 25228</div><input id='attrs-8f054263-2df1-4330-9a4f-f6c42e9637e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f054263-2df1-4330-9a4f-f6c42e9637e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-377567ef-4b48-4201-a63c-6e4c4f6f2677' class='xr-var-data-in' type='checkbox'><label for='data-377567ef-4b48-4201-a63c-6e4c4f6f2677' 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>Along-range sample number, base 0</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 25226, 25227, 25228])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ccf339af-2ba7-42e6-a278-688e7fc15ce5' class='xr-section-summary-in' type='checkbox' ><label for='section-ccf339af-2ba7-42e6-a278-688e7fc15ce5' class='xr-section-summary' >Indexes: <span>(4)</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>beam</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a438d462-3e73-4205-a7de-522cd0c88e91' class='xr-index-data-in' type='checkbox'/><label for='index-a438d462-3e73-4205-a7de-522cd0c88e91' 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(Index([&#x27;1&#x27;, &#x27;2&#x27;, &#x27;3&#x27;, &#x27;4&#x27;], dtype=&#x27;object&#x27;, name=&#x27;beam&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>channel</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-75d538c1-2071-41a3-b64c-dd955aa5514d' class='xr-index-data-in' type='checkbox'/><label for='index-75d538c1-2071-41a3-b64c-dd955aa5514d' 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(Index([&#x27;WBT 545612-15 ES200-7C&#x27;, &#x27;WBT 549762-15 ES70-7C&#x27;], dtype=&#x27;object&#x27;, name=&#x27;channel&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>ping_time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8a4a559a-fee1-40a7-a11b-88eb93546d10' class='xr-index-data-in' type='checkbox'/><label for='index-8a4a559a-fee1-40a7-a11b-88eb93546d10' 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([&#x27;2017-09-12 23:49:10.723866112&#x27;,\n",
" &#x27;2017-09-12 23:49:12.253952&#x27;,\n",
" &#x27;2017-09-12 23:49:13.043997184&#x27;,\n",
" &#x27;2017-09-12 23:49:13.834043904&#x27;,\n",
" &#x27;2017-09-12 23:49:14.625088&#x27;,\n",
" &#x27;2017-09-12 23:49:15.405131776&#x27;,\n",
" &#x27;2017-09-12 23:49:16.195176960&#x27;,\n",
" &#x27;2017-09-12 23:49:16.995224064&#x27;,\n",
" &#x27;2017-09-12 23:49:17.784266752&#x27;,\n",
" &#x27;2017-09-12 23:49:18.565313024&#x27;,\n",
" ...\n",
" &#x27;2017-09-13 00:09:29.533309952&#x27;,\n",
" &#x27;2017-09-13 00:09:30.116677632&#x27;,\n",
" &#x27;2017-09-13 00:09:30.700045312&#x27;,\n",
" &#x27;2017-09-13 00:09:31.283412992&#x27;,\n",
" &#x27;2017-09-13 00:09:31.866780672&#x27;,\n",
" &#x27;2017-09-13 00:09:32.450148352&#x27;,\n",
" &#x27;2017-09-13 00:09:33.033516032&#x27;,\n",
" &#x27;2017-09-13 00:09:33.616883712&#x27;,\n",
" &#x27;2017-09-13 00:09:34.200251392&#x27;,\n",
" &#x27;2017-09-13 00:09:34.783619072&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;ping_time&#x27;, length=1760, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>range_sample</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b09ad268-4f52-4468-a120-4cb60763dd76' class='xr-index-data-in' type='checkbox'/><label for='index-b09ad268-4f52-4468-a120-4cb60763dd76' 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(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 25219, 25220, 25221, 25222, 25223, 25224, 25225, 25226, 25227, 25228],\n",
" dtype=&#x27;int64&#x27;, name=&#x27;range_sample&#x27;, length=25229))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-176666c0-7f06-43cd-942e-1d87741d29f7' class='xr-section-summary-in' type='checkbox' checked><label for='section-176666c0-7f06-43cd-942e-1d87741d29f7' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Raw backscatter measurements (real part)</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'backscatter_r' (channel: 2, ping_time: 1760,\n",
" range_sample: 25229, beam: 4)>\n",
"dask.array<open_dataset-backscatter_r, shape=(2, 1760, 25229, 4), dtype=float64, chunksize=(2, 100, 25229, 4), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" * beam (beam) <U21 '1' '2' '3' '4'\n",
" * channel (channel) <U22 'WBT 545612-15 ES200-7C' 'WBT 549762-15 ES70...\n",
" * ping_time (ping_time) datetime64[ns] 2017-09-12T23:49:10.723866112 .....\n",
" * range_sample (range_sample) int64 0 1 2 3 4 ... 25225 25226 25227 25228\n",
"Attributes:\n",
" long_name: Raw backscatter measurements (real part)\n",
" units: dB"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Delayed backscatter\n",
"delayed_beam[\"backscatter_r\"]"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "ec9bc509",
"metadata": {},
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;backscatter_r&#x27; (channel: 2, ping_time: 1760,\n",
" range_sample: 25229, beam: 4)&gt;\n",
"array([[[[-9.58796591e-07, -2.39721089e-07, 4.79425580e-07,\n",
" -9.58875717e-07],\n",
" [-8.59507873e-06, 9.31027898e-06, 4.05911578e-06,\n",
" 4.53602161e-06],\n",
" [ 6.08467526e-05, -6.30426221e-05, -2.43436643e-05,\n",
" 2.94696711e-05],\n",
" ...,\n",
" [-2.61083210e-06, 1.64820699e-06, 4.77494768e-06,\n",
" 1.31667309e-06],\n",
" [-1.34275308e-06, -7.68232098e-07, 1.00862853e-05,\n",
" -1.48054335e-06],\n",
" [ 2.66295001e-06, 2.07455537e-06, 9.46026921e-06,\n",
" -1.29056127e-06]],\n",
"\n",
" [[-9.55151336e-07, -6.69650763e-06, 2.38717485e-06,\n",
" 9.58907890e-07],\n",
" [-6.45823002e-06, 1.26482228e-05, -1.67040525e-06,\n",
" -1.16946367e-05],\n",
" [ 1.53427009e-05, 1.51832559e-04, -1.16686169e-04,\n",
" -4.63036013e-05],\n",
"...\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan]],\n",
"\n",
" [[ 4.89365175e-06, -6.81580059e-06, 3.34820652e-06,\n",
" 2.38717803e-06],\n",
" [-6.24527340e-04, -5.02450101e-04, -3.92370159e-04,\n",
" -4.30517393e-04],\n",
" [-4.93536610e-03, -4.75223456e-03, -3.30690970e-03,\n",
" -3.03224684e-03],\n",
" ...,\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan]]]])\n",
"Coordinates:\n",
" * beam (beam) &lt;U21 &#x27;1&#x27; &#x27;2&#x27; &#x27;3&#x27; &#x27;4&#x27;\n",
" * channel (channel) &lt;U22 &#x27;WBT 545612-15 ES200-7C&#x27; &#x27;WBT 549762-15 ES70...\n",
" * ping_time (ping_time) datetime64[ns] 2017-09-12T23:49:10.723866112 .....\n",
" * range_sample (range_sample) int64 0 1 2 3 4 ... 25225 25226 25227 25228\n",
"Attributes:\n",
" long_name: Raw backscatter measurements (real part)\n",
" units: dB</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'>'backscatter_r'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 2</li><li><span class='xr-has-index'>ping_time</span>: 1760</li><li><span class='xr-has-index'>range_sample</span>: 25229</li><li><span class='xr-has-index'>beam</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e6f2c8b2-ac37-42b0-bc9e-cff684da465b' class='xr-array-in' type='checkbox' checked><label for='section-e6f2c8b2-ac37-42b0-bc9e-cff684da465b' 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>-9.588e-07 -2.397e-07 4.794e-07 -9.589e-07 ... nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[[-9.58796591e-07, -2.39721089e-07, 4.79425580e-07,\n",
" -9.58875717e-07],\n",
" [-8.59507873e-06, 9.31027898e-06, 4.05911578e-06,\n",
" 4.53602161e-06],\n",
" [ 6.08467526e-05, -6.30426221e-05, -2.43436643e-05,\n",
" 2.94696711e-05],\n",
" ...,\n",
" [-2.61083210e-06, 1.64820699e-06, 4.77494768e-06,\n",
" 1.31667309e-06],\n",
" [-1.34275308e-06, -7.68232098e-07, 1.00862853e-05,\n",
" -1.48054335e-06],\n",
" [ 2.66295001e-06, 2.07455537e-06, 9.46026921e-06,\n",
" -1.29056127e-06]],\n",
"\n",
" [[-9.55151336e-07, -6.69650763e-06, 2.38717485e-06,\n",
" 9.58907890e-07],\n",
" [-6.45823002e-06, 1.26482228e-05, -1.67040525e-06,\n",
" -1.16946367e-05],\n",
" [ 1.53427009e-05, 1.51832559e-04, -1.16686169e-04,\n",
" -4.63036013e-05],\n",
"...\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan]],\n",
"\n",
" [[ 4.89365175e-06, -6.81580059e-06, 3.34820652e-06,\n",
" 2.38717803e-06],\n",
" [-6.24527340e-04, -5.02450101e-04, -3.92370159e-04,\n",
" -4.30517393e-04],\n",
" [-4.93536610e-03, -4.75223456e-03, -3.30690970e-03,\n",
" -3.03224684e-03],\n",
" ...,\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-73addb20-8f6d-4399-80c9-6d0c13b47d4c' class='xr-section-summary-in' type='checkbox' checked><label for='section-73addb20-8f6d-4399-80c9-6d0c13b47d4c' class='xr-section-summary' >Coordinates: <span>(4)</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'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>&lt;U21</div><div class='xr-var-preview xr-preview'>&#x27;1&#x27; &#x27;2&#x27; &#x27;3&#x27; &#x27;4&#x27;</div><input id='attrs-e95a7084-2b1e-465c-88a7-9347815d8bfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e95a7084-2b1e-465c-88a7-9347815d8bfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1d20953-56f3-4830-b79d-41f70da85bce' class='xr-var-data-in' type='checkbox'><label for='data-a1d20953-56f3-4830-b79d-41f70da85bce' 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>Beam name</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1&#x27;, &#x27;2&#x27;, &#x27;3&#x27;, &#x27;4&#x27;], dtype=&#x27;&lt;U21&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U22</div><div class='xr-var-preview xr-preview'>&#x27;WBT 545612-15 ES200-7C&#x27; &#x27;WBT 54...</div><input id='attrs-2a95f447-a868-459e-bfbe-d57519850974' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a95f447-a868-459e-bfbe-d57519850974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5336d2c0-9390-4663-88b6-def372f40d2b' class='xr-var-data-in' type='checkbox'><label for='data-5336d2c0-9390-4663-88b6-def372f40d2b' 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>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 545612-15 ES200-7C&#x27;, &#x27;WBT 549762-15 ES70-7C&#x27;], dtype=&#x27;&lt;U22&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ping_time</span></div><div class='xr-var-dims'>(ping_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-09-12T23:49:10.723866112 .....</div><input id='attrs-ec465ae2-e921-47dd-9767-eadbb4ce57c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec465ae2-e921-47dd-9767-eadbb4ce57c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6980aa92-d72d-46a7-aedc-4c2f19f3711d' class='xr-var-data-in' type='checkbox'><label for='data-6980aa92-d72d-46a7-aedc-4c2f19f3711d' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamp of each ping</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2017-09-12T23:49:10.723866112&#x27;, &#x27;2017-09-12T23:49:12.253952000&#x27;,\n",
" &#x27;2017-09-12T23:49:13.043997184&#x27;, ..., &#x27;2017-09-13T00:09:33.616883712&#x27;,\n",
" &#x27;2017-09-13T00:09:34.200251392&#x27;, &#x27;2017-09-13T00:09:34.783619072&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_sample</span></div><div class='xr-var-dims'>(range_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 25225 25226 25227 25228</div><input id='attrs-63b027ad-d1d0-4d1e-9155-c6785a8dce9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63b027ad-d1d0-4d1e-9155-c6785a8dce9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0beb232d-4ee0-4364-9a62-81aee20e6d73' class='xr-var-data-in' type='checkbox'><label for='data-0beb232d-4ee0-4364-9a62-81aee20e6d73' 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>Along-range sample number, base 0</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 25226, 25227, 25228])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ffe05a34-aae5-42a4-ba7f-d8ab39af0623' class='xr-section-summary-in' type='checkbox' ><label for='section-ffe05a34-aae5-42a4-ba7f-d8ab39af0623' class='xr-section-summary' >Indexes: <span>(4)</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>beam</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c127820e-6995-4c7b-886c-7d5d89c02db0' class='xr-index-data-in' type='checkbox'/><label for='index-c127820e-6995-4c7b-886c-7d5d89c02db0' 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(Index([&#x27;1&#x27;, &#x27;2&#x27;, &#x27;3&#x27;, &#x27;4&#x27;], dtype=&#x27;object&#x27;, name=&#x27;beam&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>channel</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bf23a52f-b8cd-4aee-ba78-0c6cd8392470' class='xr-index-data-in' type='checkbox'/><label for='index-bf23a52f-b8cd-4aee-ba78-0c6cd8392470' 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(Index([&#x27;WBT 545612-15 ES200-7C&#x27;, &#x27;WBT 549762-15 ES70-7C&#x27;], dtype=&#x27;object&#x27;, name=&#x27;channel&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>ping_time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3aea9a4a-d77a-4743-97f6-3ecc3e23c28b' class='xr-index-data-in' type='checkbox'/><label for='index-3aea9a4a-d77a-4743-97f6-3ecc3e23c28b' 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([&#x27;2017-09-12 23:49:10.723866112&#x27;,\n",
" &#x27;2017-09-12 23:49:12.253952&#x27;,\n",
" &#x27;2017-09-12 23:49:13.043997184&#x27;,\n",
" &#x27;2017-09-12 23:49:13.834043904&#x27;,\n",
" &#x27;2017-09-12 23:49:14.625088&#x27;,\n",
" &#x27;2017-09-12 23:49:15.405131776&#x27;,\n",
" &#x27;2017-09-12 23:49:16.195176960&#x27;,\n",
" &#x27;2017-09-12 23:49:16.995224064&#x27;,\n",
" &#x27;2017-09-12 23:49:17.784266752&#x27;,\n",
" &#x27;2017-09-12 23:49:18.565313024&#x27;,\n",
" ...\n",
" &#x27;2017-09-13 00:09:29.533309952&#x27;,\n",
" &#x27;2017-09-13 00:09:30.116677632&#x27;,\n",
" &#x27;2017-09-13 00:09:30.700045312&#x27;,\n",
" &#x27;2017-09-13 00:09:31.283412992&#x27;,\n",
" &#x27;2017-09-13 00:09:31.866780672&#x27;,\n",
" &#x27;2017-09-13 00:09:32.450148352&#x27;,\n",
" &#x27;2017-09-13 00:09:33.033516032&#x27;,\n",
" &#x27;2017-09-13 00:09:33.616883712&#x27;,\n",
" &#x27;2017-09-13 00:09:34.200251392&#x27;,\n",
" &#x27;2017-09-13 00:09:34.783619072&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;ping_time&#x27;, length=1760, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>range_sample</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d5b7a53a-a401-48b6-86c0-6e68a877e146' class='xr-index-data-in' type='checkbox'/><label for='index-d5b7a53a-a401-48b6-86c0-6e68a877e146' 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(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 25219, 25220, 25221, 25222, 25223, 25224, 25225, 25226, 25227, 25228],\n",
" dtype=&#x27;int64&#x27;, name=&#x27;range_sample&#x27;, length=25229))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf2fa437-2f49-484f-a0cc-e4b733946813' class='xr-section-summary-in' type='checkbox' checked><label for='section-cf2fa437-2f49-484f-a0cc-e4b733946813' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Raw backscatter measurements (real part)</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'backscatter_r' (channel: 2, ping_time: 1760,\n",
" range_sample: 25229, beam: 4)>\n",
"array([[[[-9.58796591e-07, -2.39721089e-07, 4.79425580e-07,\n",
" -9.58875717e-07],\n",
" [-8.59507873e-06, 9.31027898e-06, 4.05911578e-06,\n",
" 4.53602161e-06],\n",
" [ 6.08467526e-05, -6.30426221e-05, -2.43436643e-05,\n",
" 2.94696711e-05],\n",
" ...,\n",
" [-2.61083210e-06, 1.64820699e-06, 4.77494768e-06,\n",
" 1.31667309e-06],\n",
" [-1.34275308e-06, -7.68232098e-07, 1.00862853e-05,\n",
" -1.48054335e-06],\n",
" [ 2.66295001e-06, 2.07455537e-06, 9.46026921e-06,\n",
" -1.29056127e-06]],\n",
"\n",
" [[-9.55151336e-07, -6.69650763e-06, 2.38717485e-06,\n",
" 9.58907890e-07],\n",
" [-6.45823002e-06, 1.26482228e-05, -1.67040525e-06,\n",
" -1.16946367e-05],\n",
" [ 1.53427009e-05, 1.51832559e-04, -1.16686169e-04,\n",
" -4.63036013e-05],\n",
"...\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan]],\n",
"\n",
" [[ 4.89365175e-06, -6.81580059e-06, 3.34820652e-06,\n",
" 2.38717803e-06],\n",
" [-6.24527340e-04, -5.02450101e-04, -3.92370159e-04,\n",
" -4.30517393e-04],\n",
" [-4.93536610e-03, -4.75223456e-03, -3.30690970e-03,\n",
" -3.03224684e-03],\n",
" ...,\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan],\n",
" [ nan, nan, nan,\n",
" nan]]]])\n",
"Coordinates:\n",
" * beam (beam) <U21 '1' '2' '3' '4'\n",
" * channel (channel) <U22 'WBT 545612-15 ES200-7C' 'WBT 549762-15 ES70...\n",
" * ping_time (ping_time) datetime64[ns] 2017-09-12T23:49:10.723866112 .....\n",
" * range_sample (range_sample) int64 0 1 2 3 4 ... 25225 25226 25227 25228\n",
"Attributes:\n",
" long_name: Raw backscatter measurements (real part)\n",
" units: dB"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Eager backscatter\n",
"eager_beam[\"backscatter_r\"]"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "69dedfac",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-cf70057e-9ba1-11ee-b06e-92ed45d179aa</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
"\n",
" <tr>\n",
" \n",
" <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
" <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
" \n",
" </tr>\n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
"\n",
" \n",
"\n",
" \n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
" <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
" </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">55aa82ce</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 5\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 10\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 32.00 GiB\n",
" </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
" <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
"</tr>\n",
"\n",
" \n",
" </table>\n",
"\n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
" </summary>\n",
"\n",
" <div style=\"\">\n",
" <div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-c59e4b63-c809-4ecd-8209-c4f8493ceddd</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm:</strong> tcp://127.0.0.1:61659\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 5\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Started:</strong> Just now\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 32.00 GiB\n",
" </td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"\n",
" <details style=\"margin-left: 48px;\">\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Workers</h3>\n",
" </summary>\n",
"\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:61676\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 2\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:61680/status\" target=\"_blank\">http://127.0.0.1:61680/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 6.40 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:61662\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /var/folders/27/9v53p3fn6v5gn0qdf2ph2s_r0000gn/T/dask-scratch-space/worker-_795l6li\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:61672\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 2\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:61678/status\" target=\"_blank\">http://127.0.0.1:61678/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 6.40 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:61663\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /var/folders/27/9v53p3fn6v5gn0qdf2ph2s_r0000gn/T/dask-scratch-space/worker-uvyskqjh\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:61675\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 2\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:61679/status\" target=\"_blank\">http://127.0.0.1:61679/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 6.40 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:61664\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /var/folders/27/9v53p3fn6v5gn0qdf2ph2s_r0000gn/T/dask-scratch-space/worker-nhr9hou4\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:61674\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 2\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:61681/status\" target=\"_blank\">http://127.0.0.1:61681/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 6.40 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:61665\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /var/folders/27/9v53p3fn6v5gn0qdf2ph2s_r0000gn/T/dask-scratch-space/worker-9c5776xq\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:61673\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 2\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:61677/status\" target=\"_blank\">http://127.0.0.1:61677/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 6.40 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:61666\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /var/folders/27/9v53p3fn6v5gn0qdf2ph2s_r0000gn/T/dask-scratch-space/worker-w0rd7lnh\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
"\n",
" </details>\n",
"</div>\n",
"\n",
" </details>\n",
" </div>\n",
"</div>\n",
" </details>\n",
" \n",
"\n",
" </div>\n",
"</div>"
],
"text/plain": [
"<Client: 'tcp://127.0.0.1:61659' processes=5 threads=10, memory=32.00 GiB>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Setup dask client\n",
"from dask.distributed import Client\n",
"client = Client()\n",
"client"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "d35847e2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 47.8 s, sys: 7.11 s, total: 54.9 s\n",
"Wall time: 58.1 s\n"
]
}
],
"source": [
"%%time\n",
"# Eager computation\n",
"eager_pc = ep.calibrate.ek80_complex.compress_pulse(\n",
" backscatter=eager_beam[\"backscatter_r\"] + 1j * eager_beam[\"backscatter_i\"],\n",
" chirp=chirp,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "bbda6b1e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 2.61 s, sys: 3.54 s, total: 6.15 s\n",
"Wall time: 24.3 s\n"
]
}
],
"source": [
"%%time\n",
"# Delayed computation\n",
"delayed_pc = ep.calibrate.ek80_complex.compress_pulse(\n",
" backscatter=delayed_beam[\"backscatter_r\"] + 1j * delayed_beam[\"backscatter_i\"],\n",
" chirp=chirp,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "bc62ac62",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Compare the results\n",
"eager_pc.equals(delayed_pc)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2a767827-604c-4b34-8132-ff36a30cb273",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "echo310",
"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": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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