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zonca/compare_catalogs.ipynb

Created September 10, 2025 02:45
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compare_catalogs.ipynb
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"source": [
"import h5py\n",
"import numpy as np\n",
"import healpy as hp\n",
"import matplotlib.pyplot as plt"
]
},
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"freqs = [\n",
" \"18.7\",\n",
" \"24.5\",\n",
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" \"70.0\",\n",
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"name": "stdout",
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"text": [
"\u001b[0m\u001b[01;34mmatched_catalogs_2\u001b[0m/\n",
"websky_high_flux_catalog_1mJy_2025.09.03.h5\n",
"websky_high_flux_catalog_1mJy_2025.09.09.h5\n",
"websky_high_flux_catalog_1mJy.h5\n",
"websky_high_flux_catalog_1mJy_modified.h5\n",
"websky_high_flux_catalog_1mJy_opposite_ordering.h5\n"
]
}
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"source": [
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"output_filename = \"data/websky_high_flux_catalog_1mJy_2025.09.09.h5\""
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"text": [
"-rw-rw-r-- 1 azonca azonca 38727071 Sep 9 19:29 data/websky_high_flux_catalog_1mJy_2025.09.09.h5\n"
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}
],
"source": [
"!ls -l $output_filename"
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"-rw-rw-r-- 1 azonca azonca 37M Sep 9 19:29 data/websky_high_flux_catalog_1mJy_2025.09.09.h5\n"
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"source": [
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"execution": {
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"source": [
"import xarray"
]
},
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"source": [
"new_catalog = xarray.open_dataset(output_filename)"
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 39MB\n",
"Dimensions: (power: 5, index: 372255)\n",
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" generated_utc: 2025-09-10T02:29:49.847856+00:00\n",
" git_commit: 75b8a5ab38bb5a11e8362aedabb2cbbb18aa5a09\n",
" command: websky_sources_high_flux_catalog_out_1mJy.py --...</pre><div class='xr-wrap' style='display:none'><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-aff4f75f-1f90-44fe-aa32-f74470b63528' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aff4f75f-1f90-44fe-aa32-f74470b63528' 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'>power</span>: 5</li><li><span class='xr-has-index'>index</span>: 372255</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1f3fcd0c-fedc-4c5a-b49c-f3b665c2fa91' class='xr-section-summary-in' type='checkbox' checked><label for='section-1f3fcd0c-fedc-4c5a-b49c-f3b665c2fa91' 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'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>27897657 242175600 ... 261805066</div><input id='attrs-9d21dcaa-584d-4aa2-b6b3-0942a922a3bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d21dcaa-584d-4aa2-b6b3-0942a922a3bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6cff250-527a-49f8-b299-8102b8dac84b' class='xr-var-data-in' type='checkbox'><label for='data-f6cff250-527a-49f8-b299-8102b8dac84b' 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([ 27897657, 242175600, 270516228, ..., 252790650, 232442743, 261805066])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a078891c-e08a-41b3-8d8d-74562f935478' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a078891c-e08a-41b3-8d8d-74562f935478' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c367b442-b884-4c8f-b37b-e666f197f49e' class='xr-var-data-in' type='checkbox'><label for='data-c367b442-b884-4c8f-b37b-e666f197f49e' 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>units :</span></dt><dd>rad</dd><dt><span>reference_frame :</span></dt><dd>Galactic</dd></dl></div><div class='xr-var-data'><pre>[372255 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phi</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f4fcee4-90d0-4660-ac5f-2d8bf9b26595' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f4fcee4-90d0-4660-ac5f-2d8bf9b26595' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4910c27-0cb3-45bd-b9cc-d086fafb8be0' class='xr-var-data-in' type='checkbox'><label for='data-e4910c27-0cb3-45bd-b9cc-d086fafb8be0' 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>units :</span></dt><dd>rad</dd><dt><span>reference_frame :</span></dt><dd>Galactic</dd></dl></div><div class='xr-var-data'><pre>[372255 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>power</span></div><div class='xr-var-dims'>(power)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4 3 2 1 0</div><input id='attrs-50e7e93d-0797-4c46-9496-9b38aafb589f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-50e7e93d-0797-4c46-9496-9b38aafb589f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6336f155-e3ea-46a5-a4df-01b92a4e914a' class='xr-var-data-in' type='checkbox'><label for='data-6336f155-e3ea-46a5-a4df-01b92a4e914a' 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([4, 3, 2, 1, 0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd54cd95-a642-4ae1-9baa-ed5f48a898d3' class='xr-section-summary-in' type='checkbox' checked><label for='section-bd54cd95-a642-4ae1-9baa-ed5f48a898d3' 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>logpolycoefflux</span></div><div class='xr-var-dims'>(power, index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d4cb9351-7a7c-4513-a73f-5c39de555ca5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4cb9351-7a7c-4513-a73f-5c39de555ca5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2081f81d-8b93-449c-8813-f844f0c1ca96' class='xr-var-data-in' type='checkbox'><label for='data-2081f81d-8b93-449c-8813-f844f0c1ca96' 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>units :</span></dt><dd>Jy</dd><dt><span>coeff_orientation :</span></dt><dd>power_first_highest_degree_first</dd></dl></div><div class='xr-var-data'><pre>[1861275 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>logpolycoefpolflux</span></div><div class='xr-var-dims'>(power, index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e89c725-1936-44e2-9bd7-e8dda5ddd6d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e89c725-1936-44e2-9bd7-e8dda5ddd6d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ad2002b-350c-43f4-b870-daded9d85ae3' class='xr-var-data-in' type='checkbox'><label for='data-9ad2002b-350c-43f4-b870-daded9d85ae3' 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>units :</span></dt><dd>Jy</dd><dt><span>coeff_orientation :</span></dt><dd>power_first_highest_degree_first</dd></dl></div><div class='xr-var-data'><pre>[1861275 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f77255c5-7c29-42a1-95b9-ed4c274d669e' class='xr-section-summary-in' type='checkbox' ><label for='section-f77255c5-7c29-42a1-95b9-ed4c274d669e' 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>index</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3a52ff1a-6cd2-4bcb-ba48-6e85864a1071' class='xr-index-data-in' type='checkbox'/><label for='index-3a52ff1a-6cd2-4bcb-ba48-6e85864a1071' 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([ 27897657, 242175600, 270516228, 276407774, 256213631, 281544643,\n",
" 259533227, 251679008, 263719520, 252717495,\n",
" ...\n",
" 266510903, 262899438, 86057443, 273942018, 242580347, 114669465,\n",
" 280536021, 252790650, 232442743, 261805066],\n",
" dtype=&#x27;int64&#x27;, name=&#x27;index&#x27;, length=372255))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>power</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2d49a409-f818-44f3-b747-6b5e448701e6' class='xr-index-data-in' type='checkbox'/><label for='index-2d49a409-f818-44f3-b747-6b5e448701e6' 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([4, 3, 2, 1, 0], dtype=&#x27;int64&#x27;, name=&#x27;power&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8d3b42c-2622-4451-aa07-4a6ecac7a00f' class='xr-section-summary-in' type='checkbox' checked><label for='section-d8d3b42c-2622-4451-aa07-4a6ecac7a00f' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>Websky sources with flux &gt; 1.0 mJy at 100.0 GHz. Polynomial degree 4 fit in log(frequency) for flux (and polarized flux if available). Frequencies in GHz. Ordered by descending fitted flux at reference frequency (polynomial evaluated at ref freq). &#x27;index&#x27; gives original catalog index before selection/sorting. NOTE: Coefficient arrays are stored transposed relative to PySM 3.4.1 and 3.4.2 (which used (index,power)). Now dims are (power,index) with highest degree first, enabling direct numpy.polyval(coeffs, log_freq) without any transpose step.</dd><dt><span>reference_frequency_GHz :</span></dt><dd>100.0</dd><dt><span>flux_cutoff_mJy :</span></dt><dd>1.0</dd><dt><span>polynomial_degree :</span></dt><dd>4</dd><dt><span>sorted_by :</span></dt><dd>polyval(logpolycoefflux, log(ref_freq)) with coeff dims (power,index)</dd><dt><span>ref_frame :</span></dt><dd>Galactic</dd><dt><span>generated_utc :</span></dt><dd>2025-09-10T02:29:49.847856+00:00</dd><dt><span>git_commit :</span></dt><dd>75b8a5ab38bb5a11e8362aedabb2cbbb18aa5a09</dd><dt><span>command :</span></dt><dd>websky_sources_high_flux_catalog_out_1mJy.py --input-pattern &#x27;data/matched_catalogs_2/catalog_{freq:.1f}.h5&#x27; --frequencies 18.7 24.5 44.0 70.0 100.0 143.0 217.0 353.0 545.0 643.0 729.0 857.0 906.0 --cutoff-mjy 1.0 --ref-freq 100.0 --degree 4 --progress-every 500</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset> Size: 39MB\n",
"Dimensions: (power: 5, index: 372255)\n",
"Coordinates:\n",
" * index (index) int64 3MB 27897657 242175600 ... 261805066\n",
" theta (index) float64 3MB ...\n",
" phi (index) float64 3MB ...\n",
" * power (power) int64 40B 4 3 2 1 0\n",
"Data variables:\n",
" logpolycoefflux (power, index) float64 15MB ...\n",
" logpolycoefpolflux (power, index) float64 15MB ...\n",
"Attributes:\n",
" description: Websky sources with flux > 1.0 mJy at 100.0 GHz...\n",
" reference_frequency_GHz: 100.0\n",
" flux_cutoff_mJy: 1.0\n",
" polynomial_degree: 4\n",
" sorted_by: polyval(logpolycoefflux, log(ref_freq)) with co...\n",
" ref_frame: Galactic\n",
" generated_utc: 2025-09-10T02:29:49.847856+00:00\n",
" git_commit: 75b8a5ab38bb5a11e8362aedabb2cbbb18aa5a09\n",
" command: websky_sources_high_flux_catalog_out_1mJy.py --..."
]
},
"execution_count": 9,
"metadata": {},
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}
],
"source": [
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},
{
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"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<HDF5 dataset \"logpolycoefflux\": shape (5, 372255), type \"<f8\">"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import h5py\n",
"f = h5py.File(output_filename, 'r')\n",
"f[\"logpolycoefflux\"]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "49",
"metadata": {
"execution": {
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"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"b'Jy'"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f[\"logpolycoefflux\"].attrs[\"units\"]"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "6d2ff2bb",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/mnt/home/azonca'"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pathlib import Path\n",
"\n",
"home_folder = str(Path.home())\n",
"home_folder"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "85fa5dd5",
"metadata": {},
"outputs": [],
"source": [
"old_catalog= xarray.open_dataset(home_folder + \"/s/pysm-data/websky/0.4/radio_catalog/websky_high_flux_catalog_1mJy.h5\")"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "77e3103a",
"metadata": {},
"outputs": [
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 39MB\n",
"Dimensions: (index: 372255, power: 5)\n",
"Coordinates:\n",
" * index (index) int64 3MB 27897657 242175600 ... 166742332\n",
" * power (power) int64 40B 4 3 2 1 0\n",
" theta (index) float64 3MB ...\n",
" phi (index) float64 3MB ...\n",
"Data variables:\n",
" logpolycoefflux (index, power) float64 15MB ...\n",
" logpolycoefpolflux (index, power) float64 15MB ...\n",
"Attributes:\n",
" description: Websky catalog of sources with flux &gt; 1 mJy at 100 GHz, fit...</pre><div class='xr-wrap' style='display:none'><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-32b53a9e-d53c-45d8-9f9a-f08a41f45818' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-32b53a9e-d53c-45d8-9f9a-f08a41f45818' 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'>index</span>: 372255</li><li><span class='xr-has-index'>power</span>: 5</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c0cb95b1-7899-4b97-8704-b98c94221526' class='xr-section-summary-in' type='checkbox' checked><label for='section-c0cb95b1-7899-4b97-8704-b98c94221526' 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'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>27897657 242175600 ... 166742332</div><input id='attrs-64cbf715-3c67-493f-b598-443d80e7f40b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-64cbf715-3c67-493f-b598-443d80e7f40b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07bbe0a1-167f-4882-a6eb-7f9f20cd29df' class='xr-var-data-in' type='checkbox'><label for='data-07bbe0a1-167f-4882-a6eb-7f9f20cd29df' 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([ 27897657, 242175600, 270516228, ..., 246732122, 263347056, 166742332])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>power</span></div><div class='xr-var-dims'>(power)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4 3 2 1 0</div><input id='attrs-d0fa207f-3114-4dd1-8b18-bdf488de0d5f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0fa207f-3114-4dd1-8b18-bdf488de0d5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7dbb15e-28d2-457d-9410-46b863186ddc' class='xr-var-data-in' type='checkbox'><label for='data-c7dbb15e-28d2-457d-9410-46b863186ddc' 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([4, 3, 2, 1, 0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee7625cc-6bd6-46b4-a387-418d6f8e6a27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee7625cc-6bd6-46b4-a387-418d6f8e6a27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f37c1f9e-6080-4344-bb03-6433a422f76f' class='xr-var-data-in' type='checkbox'><label for='data-f37c1f9e-6080-4344-bb03-6433a422f76f' 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>units :</span></dt><dd>rad</dd><dt><span>reference_frame :</span></dt><dd>Galactic</dd></dl></div><div class='xr-var-data'><pre>[372255 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phi</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9c3de089-42b0-4ce1-96cd-9f3a2f1135d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c3de089-42b0-4ce1-96cd-9f3a2f1135d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-498f4743-a0ab-45be-86ec-8e8d3476f76f' class='xr-var-data-in' type='checkbox'><label for='data-498f4743-a0ab-45be-86ec-8e8d3476f76f' 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>units :</span></dt><dd>rad</dd><dt><span>reference_frame :</span></dt><dd>Galactic</dd></dl></div><div class='xr-var-data'><pre>[372255 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6bd9956d-1983-4d46-8b46-67c886cf58ee' class='xr-section-summary-in' type='checkbox' checked><label for='section-6bd9956d-1983-4d46-8b46-67c886cf58ee' 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>logpolycoefflux</span></div><div class='xr-var-dims'>(index, power)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0616f050-4c61-4ccf-a9c6-bdfec7514a92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0616f050-4c61-4ccf-a9c6-bdfec7514a92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b8d9cce-b099-40b2-b1d4-41ef200ab20d' class='xr-var-data-in' type='checkbox'><label for='data-3b8d9cce-b099-40b2-b1d4-41ef200ab20d' 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>units :</span></dt><dd>Jy</dd></dl></div><div class='xr-var-data'><pre>[1861275 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>logpolycoefpolflux</span></div><div class='xr-var-dims'>(index, power)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7232e88f-a892-451a-aec0-78023241b0fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7232e88f-a892-451a-aec0-78023241b0fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dc7a737-ee7c-4eef-b50d-cd68431e6c01' class='xr-var-data-in' type='checkbox'><label for='data-5dc7a737-ee7c-4eef-b50d-cd68431e6c01' 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>units :</span></dt><dd>Jy</dd></dl></div><div class='xr-var-data'><pre>[1861275 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-58cb383c-e68e-490b-ae1a-db008223c957' class='xr-section-summary-in' type='checkbox' ><label for='section-58cb383c-e68e-490b-ae1a-db008223c957' 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>index</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-64fcc436-540e-4377-aa2a-64aa9e24c3c3' class='xr-index-data-in' type='checkbox'/><label for='index-64fcc436-540e-4377-aa2a-64aa9e24c3c3' 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([ 27897657, 242175600, 270516228, 276407774, 256213631, 281544643,\n",
" 263719520, 259533227, 251679008, 252717495,\n",
" ...\n",
" 238190295, 145826702, 108046020, 232265270, 174768449, 256408684,\n",
" 236382968, 246732122, 263347056, 166742332],\n",
" dtype=&#x27;int64&#x27;, name=&#x27;index&#x27;, length=372255))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>power</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4ff82e57-d59d-462e-a912-add38932cbe8' class='xr-index-data-in' type='checkbox'/><label for='index-4ff82e57-d59d-462e-a912-add38932cbe8' 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([4, 3, 2, 1, 0], dtype=&#x27;int64&#x27;, name=&#x27;power&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a82c6613-f319-4d76-9bf2-db5852750b71' class='xr-section-summary-in' type='checkbox' checked><label for='section-a82c6613-f319-4d76-9bf2-db5852750b71' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>Websky catalog of sources with flux &gt; 1 mJy at 100 GHz, fitted with a 4th order polynomial in log frequency. Galactic reference frame. Sorted by flux at 100 GHz (descending). The &#x27;index&#x27; coordinate gives the original index in the Websky catalog.</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset> Size: 39MB\n",
"Dimensions: (index: 372255, power: 5)\n",
"Coordinates:\n",
" * index (index) int64 3MB 27897657 242175600 ... 166742332\n",
" * power (power) int64 40B 4 3 2 1 0\n",
" theta (index) float64 3MB ...\n",
" phi (index) float64 3MB ...\n",
"Data variables:\n",
" logpolycoefflux (index, power) float64 15MB ...\n",
" logpolycoefpolflux (index, power) float64 15MB ...\n",
"Attributes:\n",
" description: Websky catalog of sources with flux > 1 mJy at 100 GHz, fit..."
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"old_catalog"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "606c20ce",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Indices match: True\n",
"Number of indices in new_catalog: 372255\n",
"Number of indices in old_catalog: 372255\n",
"Indices only in new_catalog: 0\n",
"Indices only in old_catalog: 0\n"
]
}
],
"source": [
"# Compare the index values of new_catalog and old_catalog, ignoring order\n",
"new_indices = set(new_catalog.index.values)\n",
"old_indices = set(old_catalog.index.values)\n",
"\n",
"print(\"Indices match:\", new_indices == old_indices)\n",
"print(\"Number of indices in new_catalog:\", len(new_indices))\n",
"print(\"Number of indices in old_catalog:\", len(old_indices))\n",
"print(\"Indices only in new_catalog:\", len(new_indices - old_indices))\n",
"print(\"Indices only in old_catalog:\", len(old_indices - new_indices))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3c9f110f",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 27,
"id": "7530924e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"logpolycoefflux arrays are equal for all indices: True\n"
]
}
],
"source": [
"import numpy as np\n",
"\n",
"# Ensure both catalogs are aligned by index\n",
"new_sorted = new_catalog.sortby(\"index\")\n",
"old_sorted = old_catalog.sortby(\"index\")\n",
"# Compare logpolycoefflux values for all indices\n",
"coeff_equal = np.allclose(\n",
" new_sorted.logpolycoefflux.values.T,\n",
" old_sorted.logpolycoefflux.values,\n",
" rtol=1e-4,\n",
" atol=1e-9,\n",
" equal_nan=True,\n",
")\n",
"\n",
"print(\"logpolycoefflux arrays are equal for all indices:\", coeff_equal)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a616770f",
"metadata": {},
"outputs": [],
"source": []
}
],
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