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lbesnard/Argo_float_filtering(WFS).ipynb

Created July 1, 2019 04:27
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Argo Float (WFS access)
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Argo_float_filtering(WFS).ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Argo (WFS access) - plot profile cycle"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from owslib.etree import etree\n",
"from owslib.fes import PropertyIsLike, BBox, And\n",
"from owslib.wfs import WebFeatureService\n",
"from owslib.wms import WebMapService\n",
"import os\n",
"import xml.etree.ElementTree as ET\n",
"\n",
"GEOSERVER_URL = 'http://geoserver-123.aodn.org.au/geoserver'\n",
"GEOSERVER_WFS_LAYER = '{geoserver_url}/wfs'.format(geoserver_url=GEOSERVER_URL)\n",
"GEOSERVER_WMS_LAYER = '{geoserver_url}/wms'.format(geoserver_url=GEOSERVER_URL)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1 Query Argo layer from IMOS geoserver, filtering on Argo float ID"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['imos:argo_primary_profile_core_low_res_good_qc_data', 'imos:argo_profile_map']\n"
]
}
],
"source": [
"aodn_collection_to_search_str = \"argo\"\n",
"\n",
"wms = WebMapService(GEOSERVER_WFS_LAYER, version='1.1.1')\n",
"wms_wfs_ls = list(wms.contents) # list containing ALL IMOS/AODN geoserver layers\n",
"matching = [s.lower() for s in wms_wfs_ls if aodn_collection_to_search_str.lower() in s]\n",
"print(matching)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# Data filtering\n",
"argo_id = '5900575'\n",
"\n",
"# WMS and WFS layers definition (values found above)\n",
"layer1_wms_name = 'imos:argo_profile_map'\n",
"layer1_wfs_name = 'imos:argo_primary_profile_core_low_res_good_qc_data'\n",
"\n",
"import json\n",
"# some OWSlib filtering\n",
"wfs = WebFeatureService(url=GEOSERVER_WFS_LAYER, version='1.1.0', timeout=30)\n",
"argo_wfs = wfs[layer1_wfs_name]\n",
"\n",
"## string property\n",
"filename_wfs_filter = argo_id\n",
"column = 'platform_number' \n",
"filter_1 = PropertyIsLike(propertyname=column, literal=filename_wfs_filter, wildCard='%')\n",
"\n",
"filters_xml = etree.tostring(filter_1.toXML()).decode(\"utf-8\")\n",
"\n",
"response = wfs.getfeature(typename=layer1_wfs_name, filter=filters_xml, outputFormat='application/json')\n",
"res = response.read()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2 Converting the downloaded data to Pandas"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"from pandas.io.json import json_normalize\n",
"\n",
"json_output = json.dumps(json.loads(res))\n",
"data = json.loads(json_output)\n",
"df_argo = json_normalize(data['features'])\n",
"\n",
"# df_argo.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3 Plot Specific Argo float cycle"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
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" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>13.729</td>\n",
" <td>13.729</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11391</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>13.306</td>\n",
" <td>13.306</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11392</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>13.141</td>\n",
" <td>13.141</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11393</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>12.962</td>\n",
" <td>12.962</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11394</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>12.873</td>\n",
" <td>12.873</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11395</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>12.730</td>\n",
" <td>12.730</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11396</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>12.586</td>\n",
" <td>12.586</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11397</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>12.489</td>\n",
" <td>12.489</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11398</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>12.377</td>\n",
" <td>12.377</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11399</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>12.233</td>\n",
" <td>12.233</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11400</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>12.114</td>\n",
" <td>12.114</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11401</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>11.971</td>\n",
" <td>11.971</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11402</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>11.893</td>\n",
" <td>11.893</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11403</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>11.761</td>\n",
" <td>11.761</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11404</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>11.699</td>\n",
" <td>11.699</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11405</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>11.564</td>\n",
" <td>11.564</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11406</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>11.419</td>\n",
" <td>11.419</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11407</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>11.204</td>\n",
" <td>11.204</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11408</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>11.086</td>\n",
" <td>11.086</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11409</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>10.927</td>\n",
" <td>10.927</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11410</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>10.624</td>\n",
" <td>10.624</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11411</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>10.251</td>\n",
" <td>10.251</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11412</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>9.676</td>\n",
" <td>9.676</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11413</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>9.269</td>\n",
" <td>9.269</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11414</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>8.882</td>\n",
" <td>8.882</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11415</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>8.431</td>\n",
" <td>8.431</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11416</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>8.030</td>\n",
" <td>8.030</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11417</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>7.612</td>\n",
" <td>7.612</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11418</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>7.186</td>\n",
" <td>7.186</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11419</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>6.876</td>\n",
" <td>6.876</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11420</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>6.416</td>\n",
" <td>6.416</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11421</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>6.085</td>\n",
" <td>6.085</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11422</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>5.691</td>\n",
" <td>5.691</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11423</th>\n",
" <td>[157.917, -39.996]</td>\n",
" <td>Point</td>\n",
" <td>position</td>\n",
" <td>argo_primary_profile_core_low_res_good_qc_data...</td>\n",
" <td>206</td>\n",
" <td>AOML</td>\n",
" <td>D</td>\n",
" <td>2C</td>\n",
" <td>A</td>\n",
" <td>2010-07-08T16:06:17.001Z</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>19668</td>\n",
" <td>5.408</td>\n",
" <td>5.408</td>\n",
" <td>0.002</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2...</td>\n",
" <td>Feature</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>51 rows × 40 columns</p>\n",
"</div>"
],
"text/plain": [
" geometry.coordinates geometry.type geometry_name \\\n",
"11373 [157.917, -39.996] Point position \n",
"11374 [157.917, -39.996] Point position \n",
"11375 [157.917, -39.996] Point position \n",
"11376 [157.917, -39.996] Point position \n",
"11377 [157.917, -39.996] Point position \n",
"11378 [157.917, -39.996] Point position \n",
"11379 [157.917, -39.996] Point position \n",
"11380 [157.917, -39.996] Point position \n",
"11381 [157.917, -39.996] Point position \n",
"11382 [157.917, -39.996] Point position \n",
"11383 [157.917, -39.996] Point position \n",
"11384 [157.917, -39.996] Point position \n",
"11385 [157.917, -39.996] Point position \n",
"11386 [157.917, -39.996] Point position \n",
"11387 [157.917, -39.996] Point position \n",
"11388 [157.917, -39.996] Point position \n",
"11389 [157.917, -39.996] Point position \n",
"11390 [157.917, -39.996] Point position \n",
"11391 [157.917, -39.996] Point position \n",
"11392 [157.917, -39.996] Point position \n",
"11393 [157.917, -39.996] Point position \n",
"11394 [157.917, -39.996] Point position \n",
"11395 [157.917, -39.996] Point position \n",
"11396 [157.917, -39.996] Point position \n",
"11397 [157.917, -39.996] Point position \n",
"11398 [157.917, -39.996] Point position \n",
"11399 [157.917, -39.996] Point position \n",
"11400 [157.917, -39.996] Point position \n",
"11401 [157.917, -39.996] Point position \n",
"11402 [157.917, -39.996] Point position \n",
"11403 [157.917, -39.996] Point position \n",
"11404 [157.917, -39.996] Point position \n",
"11405 [157.917, -39.996] Point position \n",
"11406 [157.917, -39.996] Point position \n",
"11407 [157.917, -39.996] Point position \n",
"11408 [157.917, -39.996] Point position \n",
"11409 [157.917, -39.996] Point position \n",
"11410 [157.917, -39.996] Point position \n",
"11411 [157.917, -39.996] Point position \n",
"11412 [157.917, -39.996] Point position \n",
"11413 [157.917, -39.996] Point position \n",
"11414 [157.917, -39.996] Point position \n",
"11415 [157.917, -39.996] Point position \n",
"11416 [157.917, -39.996] Point position \n",
"11417 [157.917, -39.996] Point position \n",
"11418 [157.917, -39.996] Point position \n",
"11419 [157.917, -39.996] Point position \n",
"11420 [157.917, -39.996] Point position \n",
"11421 [157.917, -39.996] Point position \n",
"11422 [157.917, -39.996] Point position \n",
"11423 [157.917, -39.996] Point position \n",
"\n",
" id \\\n",
"11373 argo_primary_profile_core_low_res_good_qc_data... \n",
"11374 argo_primary_profile_core_low_res_good_qc_data... \n",
"11375 argo_primary_profile_core_low_res_good_qc_data... \n",
"11376 argo_primary_profile_core_low_res_good_qc_data... \n",
"11377 argo_primary_profile_core_low_res_good_qc_data... \n",
"11378 argo_primary_profile_core_low_res_good_qc_data... \n",
"11379 argo_primary_profile_core_low_res_good_qc_data... \n",
"11380 argo_primary_profile_core_low_res_good_qc_data... \n",
"11381 argo_primary_profile_core_low_res_good_qc_data... \n",
"11382 argo_primary_profile_core_low_res_good_qc_data... \n",
"11383 argo_primary_profile_core_low_res_good_qc_data... \n",
"11384 argo_primary_profile_core_low_res_good_qc_data... \n",
"11385 argo_primary_profile_core_low_res_good_qc_data... \n",
"11386 argo_primary_profile_core_low_res_good_qc_data... \n",
"11387 argo_primary_profile_core_low_res_good_qc_data... \n",
"11388 argo_primary_profile_core_low_res_good_qc_data... \n",
"11389 argo_primary_profile_core_low_res_good_qc_data... \n",
"11390 argo_primary_profile_core_low_res_good_qc_data... \n",
"11391 argo_primary_profile_core_low_res_good_qc_data... \n",
"11392 argo_primary_profile_core_low_res_good_qc_data... \n",
"11393 argo_primary_profile_core_low_res_good_qc_data... \n",
"11394 argo_primary_profile_core_low_res_good_qc_data... \n",
"11395 argo_primary_profile_core_low_res_good_qc_data... \n",
"11396 argo_primary_profile_core_low_res_good_qc_data... \n",
"11397 argo_primary_profile_core_low_res_good_qc_data... \n",
"11398 argo_primary_profile_core_low_res_good_qc_data... \n",
"11399 argo_primary_profile_core_low_res_good_qc_data... \n",
"11400 argo_primary_profile_core_low_res_good_qc_data... \n",
"11401 argo_primary_profile_core_low_res_good_qc_data... \n",
"11402 argo_primary_profile_core_low_res_good_qc_data... \n",
"11403 argo_primary_profile_core_low_res_good_qc_data... \n",
"11404 argo_primary_profile_core_low_res_good_qc_data... \n",
"11405 argo_primary_profile_core_low_res_good_qc_data... \n",
"11406 argo_primary_profile_core_low_res_good_qc_data... \n",
"11407 argo_primary_profile_core_low_res_good_qc_data... \n",
"11408 argo_primary_profile_core_low_res_good_qc_data... \n",
"11409 argo_primary_profile_core_low_res_good_qc_data... \n",
"11410 argo_primary_profile_core_low_res_good_qc_data... \n",
"11411 argo_primary_profile_core_low_res_good_qc_data... \n",
"11412 argo_primary_profile_core_low_res_good_qc_data... \n",
"11413 argo_primary_profile_core_low_res_good_qc_data... \n",
"11414 argo_primary_profile_core_low_res_good_qc_data... \n",
"11415 argo_primary_profile_core_low_res_good_qc_data... \n",
"11416 argo_primary_profile_core_low_res_good_qc_data... \n",
"11417 argo_primary_profile_core_low_res_good_qc_data... \n",
"11418 argo_primary_profile_core_low_res_good_qc_data... \n",
"11419 argo_primary_profile_core_low_res_good_qc_data... \n",
"11420 argo_primary_profile_core_low_res_good_qc_data... \n",
"11421 argo_primary_profile_core_low_res_good_qc_data... \n",
"11422 argo_primary_profile_core_low_res_good_qc_data... \n",
"11423 argo_primary_profile_core_low_res_good_qc_data... \n",
"\n",
" properties.cycle_number properties.data_centre_name \\\n",
"11373 206 AOML \n",
"11374 206 AOML \n",
"11375 206 AOML \n",
"11376 206 AOML \n",
"11377 206 AOML \n",
"11378 206 AOML \n",
"11379 206 AOML \n",
"11380 206 AOML \n",
"11381 206 AOML \n",
"11382 206 AOML \n",
"11383 206 AOML \n",
"11384 206 AOML \n",
"11385 206 AOML \n",
"11386 206 AOML \n",
"11387 206 AOML \n",
"11388 206 AOML \n",
"11389 206 AOML \n",
"11390 206 AOML \n",
"11391 206 AOML \n",
"11392 206 AOML \n",
"11393 206 AOML \n",
"11394 206 AOML \n",
"11395 206 AOML \n",
"11396 206 AOML \n",
"11397 206 AOML \n",
"11398 206 AOML \n",
"11399 206 AOML \n",
"11400 206 AOML \n",
"11401 206 AOML \n",
"11402 206 AOML \n",
"11403 206 AOML \n",
"11404 206 AOML \n",
"11405 206 AOML \n",
"11406 206 AOML \n",
"11407 206 AOML \n",
"11408 206 AOML \n",
"11409 206 AOML \n",
"11410 206 AOML \n",
"11411 206 AOML \n",
"11412 206 AOML \n",
"11413 206 AOML \n",
"11414 206 AOML \n",
"11415 206 AOML \n",
"11416 206 AOML \n",
"11417 206 AOML \n",
"11418 206 AOML \n",
"11419 206 AOML \n",
"11420 206 AOML \n",
"11421 206 AOML \n",
"11422 206 AOML \n",
"11423 206 AOML \n",
"\n",
" properties.data_mode properties.data_state_indicator \\\n",
"11373 D 2C \n",
"11374 D 2C \n",
"11375 D 2C \n",
"11376 D 2C \n",
"11377 D 2C \n",
"11378 D 2C \n",
"11379 D 2C \n",
"11380 D 2C \n",
"11381 D 2C \n",
"11382 D 2C \n",
"11383 D 2C \n",
"11384 D 2C \n",
"11385 D 2C \n",
"11386 D 2C \n",
"11387 D 2C \n",
"11388 D 2C \n",
"11389 D 2C \n",
"11390 D 2C \n",
"11391 D 2C \n",
"11392 D 2C \n",
"11393 D 2C \n",
"11394 D 2C \n",
"11395 D 2C \n",
"11396 D 2C \n",
"11397 D 2C \n",
"11398 D 2C \n",
"11399 D 2C \n",
"11400 D 2C \n",
"11401 D 2C \n",
"11402 D 2C \n",
"11403 D 2C \n",
"11404 D 2C \n",
"11405 D 2C \n",
"11406 D 2C \n",
"11407 D 2C \n",
"11408 D 2C \n",
"11409 D 2C \n",
"11410 D 2C \n",
"11411 D 2C \n",
"11412 D 2C \n",
"11413 D 2C \n",
"11414 D 2C \n",
"11415 D 2C \n",
"11416 D 2C \n",
"11417 D 2C \n",
"11418 D 2C \n",
"11419 D 2C \n",
"11420 D 2C \n",
"11421 D 2C \n",
"11422 D 2C \n",
"11423 D 2C \n",
"\n",
" properties.direction properties.juld ... \\\n",
"11373 A 2010-07-08T16:06:17.001Z ... \n",
"11374 A 2010-07-08T16:06:17.001Z ... \n",
"11375 A 2010-07-08T16:06:17.001Z ... \n",
"11376 A 2010-07-08T16:06:17.001Z ... \n",
"11377 A 2010-07-08T16:06:17.001Z ... \n",
"11378 A 2010-07-08T16:06:17.001Z ... \n",
"11379 A 2010-07-08T16:06:17.001Z ... \n",
"11380 A 2010-07-08T16:06:17.001Z ... \n",
"11381 A 2010-07-08T16:06:17.001Z ... \n",
"11382 A 2010-07-08T16:06:17.001Z ... \n",
"11383 A 2010-07-08T16:06:17.001Z ... \n",
"11384 A 2010-07-08T16:06:17.001Z ... \n",
"11385 A 2010-07-08T16:06:17.001Z ... \n",
"11386 A 2010-07-08T16:06:17.001Z ... \n",
"11387 A 2010-07-08T16:06:17.001Z ... \n",
"11388 A 2010-07-08T16:06:17.001Z ... \n",
"11389 A 2010-07-08T16:06:17.001Z ... \n",
"11390 A 2010-07-08T16:06:17.001Z ... \n",
"11391 A 2010-07-08T16:06:17.001Z ... \n",
"11392 A 2010-07-08T16:06:17.001Z ... \n",
"11393 A 2010-07-08T16:06:17.001Z ... \n",
"11394 A 2010-07-08T16:06:17.001Z ... \n",
"11395 A 2010-07-08T16:06:17.001Z ... \n",
"11396 A 2010-07-08T16:06:17.001Z ... \n",
"11397 A 2010-07-08T16:06:17.001Z ... \n",
"11398 A 2010-07-08T16:06:17.001Z ... \n",
"11399 A 2010-07-08T16:06:17.001Z ... \n",
"11400 A 2010-07-08T16:06:17.001Z ... \n",
"11401 A 2010-07-08T16:06:17.001Z ... \n",
"11402 A 2010-07-08T16:06:17.001Z ... \n",
"11403 A 2010-07-08T16:06:17.001Z ... \n",
"11404 A 2010-07-08T16:06:17.001Z ... \n",
"11405 A 2010-07-08T16:06:17.001Z ... \n",
"11406 A 2010-07-08T16:06:17.001Z ... \n",
"11407 A 2010-07-08T16:06:17.001Z ... \n",
"11408 A 2010-07-08T16:06:17.001Z ... \n",
"11409 A 2010-07-08T16:06:17.001Z ... \n",
"11410 A 2010-07-08T16:06:17.001Z ... \n",
"11411 A 2010-07-08T16:06:17.001Z ... \n",
"11412 A 2010-07-08T16:06:17.001Z ... \n",
"11413 A 2010-07-08T16:06:17.001Z ... \n",
"11414 A 2010-07-08T16:06:17.001Z ... \n",
"11415 A 2010-07-08T16:06:17.001Z ... \n",
"11416 A 2010-07-08T16:06:17.001Z ... \n",
"11417 A 2010-07-08T16:06:17.001Z ... \n",
"11418 A 2010-07-08T16:06:17.001Z ... \n",
"11419 A 2010-07-08T16:06:17.001Z ... \n",
"11420 A 2010-07-08T16:06:17.001Z ... \n",
"11421 A 2010-07-08T16:06:17.001Z ... \n",
"11422 A 2010-07-08T16:06:17.001Z ... \n",
"11423 A 2010-07-08T16:06:17.001Z ... \n",
"\n",
" properties.psal_adjusted_qc properties.psal_qc properties.size \\\n",
"11373 2 1 19668 \n",
"11374 2 1 19668 \n",
"11375 2 1 19668 \n",
"11376 2 1 19668 \n",
"11377 2 1 19668 \n",
"11378 2 1 19668 \n",
"11379 2 1 19668 \n",
"11380 2 1 19668 \n",
"11381 2 1 19668 \n",
"11382 2 1 19668 \n",
"11383 2 1 19668 \n",
"11384 2 1 19668 \n",
"11385 2 1 19668 \n",
"11386 2 1 19668 \n",
"11387 2 1 19668 \n",
"11388 2 1 19668 \n",
"11389 2 1 19668 \n",
"11390 2 1 19668 \n",
"11391 2 1 19668 \n",
"11392 2 1 19668 \n",
"11393 2 1 19668 \n",
"11394 2 1 19668 \n",
"11395 2 1 19668 \n",
"11396 2 1 19668 \n",
"11397 2 1 19668 \n",
"11398 2 1 19668 \n",
"11399 2 1 19668 \n",
"11400 2 1 19668 \n",
"11401 2 1 19668 \n",
"11402 2 1 19668 \n",
"11403 2 1 19668 \n",
"11404 2 1 19668 \n",
"11405 2 1 19668 \n",
"11406 2 1 19668 \n",
"11407 2 1 19668 \n",
"11408 2 1 19668 \n",
"11409 2 1 19668 \n",
"11410 2 1 19668 \n",
"11411 2 1 19668 \n",
"11412 2 1 19668 \n",
"11413 2 1 19668 \n",
"11414 2 1 19668 \n",
"11415 2 1 19668 \n",
"11416 2 1 19668 \n",
"11417 2 1 19668 \n",
"11418 2 1 19668 \n",
"11419 2 1 19668 \n",
"11420 2 1 19668 \n",
"11421 2 1 19668 \n",
"11422 2 1 19668 \n",
"11423 2 1 19668 \n",
"\n",
" properties.temp properties.temp_adjusted \\\n",
"11373 14.465 14.465 \n",
"11374 14.465 14.465 \n",
"11375 14.465 14.465 \n",
"11376 14.468 14.468 \n",
"11377 14.470 14.470 \n",
"11378 14.471 14.471 \n",
"11379 14.474 14.474 \n",
"11380 14.476 14.476 \n",
"11381 14.477 14.477 \n",
"11382 14.477 14.477 \n",
"11383 14.480 14.480 \n",
"11384 14.480 14.480 \n",
"11385 14.481 14.481 \n",
"11386 14.485 14.485 \n",
"11387 14.475 14.475 \n",
"11388 14.346 14.346 \n",
"11389 14.069 14.069 \n",
"11390 13.729 13.729 \n",
"11391 13.306 13.306 \n",
"11392 13.141 13.141 \n",
"11393 12.962 12.962 \n",
"11394 12.873 12.873 \n",
"11395 12.730 12.730 \n",
"11396 12.586 12.586 \n",
"11397 12.489 12.489 \n",
"11398 12.377 12.377 \n",
"11399 12.233 12.233 \n",
"11400 12.114 12.114 \n",
"11401 11.971 11.971 \n",
"11402 11.893 11.893 \n",
"11403 11.761 11.761 \n",
"11404 11.699 11.699 \n",
"11405 11.564 11.564 \n",
"11406 11.419 11.419 \n",
"11407 11.204 11.204 \n",
"11408 11.086 11.086 \n",
"11409 10.927 10.927 \n",
"11410 10.624 10.624 \n",
"11411 10.251 10.251 \n",
"11412 9.676 9.676 \n",
"11413 9.269 9.269 \n",
"11414 8.882 8.882 \n",
"11415 8.431 8.431 \n",
"11416 8.030 8.030 \n",
"11417 7.612 7.612 \n",
"11418 7.186 7.186 \n",
"11419 6.876 6.876 \n",
"11420 6.416 6.416 \n",
"11421 6.085 6.085 \n",
"11422 5.691 5.691 \n",
"11423 5.408 5.408 \n",
"\n",
" properties.temp_adjusted_error properties.temp_adjusted_qc \\\n",
"11373 0.002 2 \n",
"11374 0.002 2 \n",
"11375 0.002 2 \n",
"11376 0.002 2 \n",
"11377 0.002 2 \n",
"11378 0.002 2 \n",
"11379 0.002 2 \n",
"11380 0.002 2 \n",
"11381 0.002 2 \n",
"11382 0.002 2 \n",
"11383 0.002 2 \n",
"11384 0.002 2 \n",
"11385 0.002 2 \n",
"11386 0.002 2 \n",
"11387 0.002 2 \n",
"11388 0.002 2 \n",
"11389 0.002 2 \n",
"11390 0.002 2 \n",
"11391 0.002 2 \n",
"11392 0.002 2 \n",
"11393 0.002 2 \n",
"11394 0.002 2 \n",
"11395 0.002 2 \n",
"11396 0.002 2 \n",
"11397 0.002 2 \n",
"11398 0.002 2 \n",
"11399 0.002 2 \n",
"11400 0.002 2 \n",
"11401 0.002 2 \n",
"11402 0.002 2 \n",
"11403 0.002 2 \n",
"11404 0.002 2 \n",
"11405 0.002 2 \n",
"11406 0.002 2 \n",
"11407 0.002 2 \n",
"11408 0.002 2 \n",
"11409 0.002 2 \n",
"11410 0.002 2 \n",
"11411 0.002 2 \n",
"11412 0.002 2 \n",
"11413 0.002 2 \n",
"11414 0.002 2 \n",
"11415 0.002 2 \n",
"11416 0.002 2 \n",
"11417 0.002 2 \n",
"11418 0.002 2 \n",
"11419 0.002 2 \n",
"11420 0.002 2 \n",
"11421 0.002 2 \n",
"11422 0.002 2 \n",
"11423 0.002 2 \n",
"\n",
" properties.temp_qc properties.url \\\n",
"11373 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11374 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11375 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11376 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11377 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11378 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11379 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11380 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11381 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11382 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11383 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11384 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11385 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11386 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11387 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11388 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11389 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11390 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11391 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11392 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11393 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11394 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11395 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11396 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11397 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11398 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11399 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11400 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11401 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11402 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11403 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11404 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11405 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11406 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11407 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11408 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11409 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11410 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11411 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11412 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11413 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11414 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11415 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11416 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11417 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11418 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11419 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11420 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11421 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11422 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"11423 1 IMOS/Argo/dac/aoml/5900575/profiles/D5900575_2... \n",
"\n",
" type \n",
"11373 Feature \n",
"11374 Feature \n",
"11375 Feature \n",
"11376 Feature \n",
"11377 Feature \n",
"11378 Feature \n",
"11379 Feature \n",
"11380 Feature \n",
"11381 Feature \n",
"11382 Feature \n",
"11383 Feature \n",
"11384 Feature \n",
"11385 Feature \n",
"11386 Feature \n",
"11387 Feature \n",
"11388 Feature \n",
"11389 Feature \n",
"11390 Feature \n",
"11391 Feature \n",
"11392 Feature \n",
"11393 Feature \n",
"11394 Feature \n",
"11395 Feature \n",
"11396 Feature \n",
"11397 Feature \n",
"11398 Feature \n",
"11399 Feature \n",
"11400 Feature \n",
"11401 Feature \n",
"11402 Feature \n",
"11403 Feature \n",
"11404 Feature \n",
"11405 Feature \n",
"11406 Feature \n",
"11407 Feature \n",
"11408 Feature \n",
"11409 Feature \n",
"11410 Feature \n",
"11411 Feature \n",
"11412 Feature \n",
"11413 Feature \n",
"11414 Feature \n",
"11415 Feature \n",
"11416 Feature \n",
"11417 Feature \n",
"11418 Feature \n",
"11419 Feature \n",
"11420 Feature \n",
"11421 Feature \n",
"11422 Feature \n",
"11423 Feature \n",
"\n",
"[51 rows x 40 columns]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"cycle_number = 206\n",
"\n",
"pd.to_datetime(df_argo['properties.juld']) # converting TIME values to date type\n",
"\n",
"profile_data_argo = df_argo[df_argo['properties.cycle_number'] == cycle_number].copy()\n",
"profile_data_argo"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Temperature / Deg')"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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QuLy8vDpjnn32WebOnet3Y5O8vDySkpL8nv/QQw9x+eWXc9ddd+HxeMjMzAzgqRvasWMHffr04aabbmLTpk1MmjSJhx9+mO7du/PYY48BcOuttzb6LLm5ufTs2ZOvfvWr7Ny5k0svvZQHHniA0NBQfvzjH5Oens6sWbMCimXlypXceeedfo/Vvn9YWBhxcXEUFhaSl5fH1KlT/X5Gp/Lggw8SFhbGv/3bvwU0vrk6xEyhcy4UeAS4EhgNXO+cGx3cqERERESkK1uckd0gIaxWUWUszsg+7XscP36ca6+9loceeogePXo0+3zzreurzV9SF8i4lStXcv311zf7Po8++igPPvgge/fu5cEHH6yZ6WuuyspKPvnkE2677TY2bNhA9+7da9ZI3nrrrdx6661NxlJZWcmHH37Iz3/+c9atW8eOHTtYvnw5APfee2/ACWF+fj6bN2/m8ssv93u8sfsH+rOob9OmTTz00EM8+eSTpxzf0rWtHWWmcAqw3cx2ADjnVgKzgc+CGpWIiIiIdHqNzeyl9I2pUzpaW3R4KEvnpBHfPaLZM4PVKioquPbaa7nhhhv46le/CkC/fv3Iz89nwIAB5Ofn07dv3yavkZSUxN69e2te5+bmMnDgQD7++GNuueUWwJsQJSUl8d5779UZd9FFF9W83rRpE5WVlUyaNAnwboJS/f2sWbO47bbbyM3NbXAf8G5gU71Rzpw5c/jmN7/Zos8jKSmJpKQkzjnnHMBbmulv45zGnrmiooKJEyeSnJwMwNVXX82aNWuanaQ+//zzXHPNNQ3KW+vfPykpicrKSoqLi4mPj280rqaUlJRwww038Nvf/pZ+/fo1OTYzp4CFT6yjvMrDwifW4SK7xQb6TB1iphBIBPbWep3re6+Gc+5bzrks51zWoUOH2jQ4EREREel6pqcksGxhOtHhoXXejw4PZdnCdKanJLT42mbGokWLGDVqVJ0yxVmzZtXsDLpixQpmz57d5HUmT57Mtm3b2LlzJ+Xl5axcuZJZs2ZxzjnnsHHjRjZu3MisWbO4/PLLWbVqFYcPH+bw4cOsWrWqzkzYs88+W2eWMDQ0tOb8e++9lwEDBhAbG8uaNWswM5566qma2AYOHMj7778PwDvvvMPw4cNb9Jn079+fQYMG8cUXXwDw9ttvM3p0w+LBWbNm8dRTT2FmrFmzhri4OAYMGMDkyZM5fPgw1bnCO++84/f8U6n/Wfi7f/XP6IUXXmDGjBk455g1axYrV66krKyMnTt3sm3bNqZMmdLkve666y4uvPBCrrrqqibHlVVU1SSEAOVVHsJ7Dgj8gw50R5pgfgFz8K4jrH59I/DrxsZr91ERERERaan2sPvohx9+aICNGzfOxo8fb+PHj7dXX33VCgoKbMaMGZaammozZsywwsJCMzPLz8+3xMREi42Ntbi4OEtMTLTi4mIz8+7GOXz4cEtOTrb77ruv0XsuW7bMUlJSLCUlxZ544ok6x4YNG2aff/55kzGvW7fOxowZY8nJyfbtb3/bPB5PzbOcffbZlpaWZlOmTLGsrKw659XffbSpZ9mwYYNNmjTJxo0bZ7Nnz67ZIfXRRx+1Rx991MzMPB6P3X777ZacnGxjx461devW1Vx71apVNm7cOBs7dqwtWLDAysrKzMzsnnvusZdfftnMzNauXWuJiYnWrVs3i4+Pt9GjR9ecv3PnThs4cKBVVVXVeYba55eUlNh1111nKSkpNnnyZMvJyakZd99991lycrKdddZZNTuympnNmzfP+vfvb2FhYZaYmGiPP/645eXlGWAjR46s+R0YP368ff3rX69z72Ml5fb3zPU25Id/q/MV0T/VLMB8y5mf2tb2xjk3DfhvM7vc9/puADO739/49PR0y8rKasMIRURERKSz+Pzzzxk1alSzzsnMKWBxRjZL56Sd1gyhSHN9tu8oebu28/9eya/zfv6K71GWv+3UixbpOGsK1wHDnXPDgDxgHvD14IYkIiIiIuI1PSWB1UtmBDsMkRbpEGsKzawS+A7wJvA58LyZbQluVCIiIiIiIsE1OD6aADYxbVJHmSnEzF4DXgt2HCIiIiLS+ZlZQO0CRIKte2QYPaL874QaqA4xUygiIiIi0laioqIoLCz021dOpD0xM3L3H+TTAydP6zodZqZQRERERKQtJCUlkZubi9qcSUeQlXuchz4qOq1rKCkUEREREaklPDycYcOGBTsMkYAcjiig4oPC07qGykdFREREREQ6qOkpCdx5WeB96v1RUigiIiIiItKBLV+9+7TOV1IoIiIiIiLSgS2dk0Z0eGiLz1dSKCIiIiIi0oGdbgmpkkIREREREZEOLDOngF+u2tbi85UUioiIiIiIdGCLM7Ipqahq8flKCkVERERERDqwpXPSiAhteWqnpFBERERERKSjcy0/VUmhiIiIiIhIB7Y4I5vySk+Lz1dSKCIiIiIi0oGpJYWIiIiIiEgXppYUIiIiIiIiXZhaUoiIiIiIiHRhakkhIiIiIiLShaklhYiIiIiISFenlhQiIiIiIiJdk1pSiIiIiIiIdGFqSSEiIiIiItKFTU9JYNnC9BavK1RSKCIiIiIi0hm0cF2hkkIREREREZEO7nTWFSopFBERERER6eBOpy2FkkIREREREZHOQOWjIiIiIiIiXZPKR0VERERERLqw02lLoaRQRERERESkg5ueksCdlw1v0blKCkVERERERDq4zJwCfrlqW4vOVVIoIiIiIiLSwS3OyKakoqpF5yopFBERERER6eDUkkJERERERKSrU0sKERERERGRrkktKURERERERLowtaQQERERERHpwtSSQkREREREpAtTSwoREREREZEuTC0pREREREREujC1pBAREREREenq1JJCRERERESka1JLChERERERkS5s4blDWnyukkIREREREZEO7HR2HgUlhSIiIiIiIu1aZk4B5z7wDpk5BQ2OeTzGd1dubPHOo6CkUEREREREpN3KzClg0fIs8o6UsGh5Vp3E8Hfv5zD5p29x6FjZad1DSaGIiIiIiEg7VJ0QVs8CllRU8Y3HP+bvW/YDEBsVznnDE3h43gR+d+MkosNDW3SfsDMWsYiIiIiIiLRYaUUVuYdPEt89kq37j3LTk+soq7ejqMfgO89u4MmbJvP1cwbz9XMG1xxbtjD9X0mkWcBbkSopFBERERERaYHMnAIWZ2SzdE4a01MSAjqntKKK8ioPPaLCOXSsjAff+ie7Ck6wu/Ak+4pLMIP7vzqO37yzvUFCWK2s0sPijGxWL5lR5/3pKQksW5jO4oxs9hzJ3x7oczgzC3Rsh5Genm5ZWVnBDkNERERERDqp2qWd0eGhLFuYXpMYejxGSIijvNLDsn/sZHfhCXYVehO//OJS7piRyp2XjeDIyXIu/vl7DE3oztDe3RnSuxtDe3cnfWgv9hSdrFM6Wlv9+/njnFtvZumBPIuSQhERERERkWaov9YPIDTEMbxPDEUny7nwrD4snTMeM2P0j9+ke2QoQ3p7E7+hvbsxPbU3k4bEt+g+gSSE0LykUOWjIiIiIiLSYbWkhLMpVR7jaEkFvbpHAPDihlw+zz9GfnEp+4tL2FlwgqIT5Xis4Xn/PHiM84cnMD21NwDOOdbfcyndIlqWdlWXgzY2I3mmKCkUEREREZEOqfZM2qLlWadMmCqqPBw8VkbR8XLGJcUB8PSa3XyUU0h+cQn7i0s5cKyMwfHdePeuiwB4YX0u63YdZkBcFP17RHGirKpBQljNY7D94AmumZhU815LE8JqtdcJnqnEtz4lhSIiIiIi0uH4a9dw05Pr+OEVI+kdE8Gs8QNxzrEicxd/2ZBH/pESDh0vwwwiw0LY+pMrcM6xdf9RPt9/lAFxUUxLSWBAXBSD47vV3OcP89OJDg/FOef3vrVFh4eydE7aGX/W6SkJDTaVOZOUFIqIiIiISJPOdIlmcxwvq2Rv0UkKjpdReLycguNlbNx7hLc+P0BpRd3dOcsqPdz7t88AOH94H+J9JaA9osIYMaIP/eOivTN+cVGYgXNw39Xjmrx//Zm++iWd1VqrtLMtaKMZERERERFpVFO7bLZEaUUVBcfL6NUtgu6RYewsOMFrm/PrJH0Fx8t4aO5ERg/swcq1e1jyl83Nukff2Egyl8wgLDSkxXGeypn+XM40bTQjIiIiIiKnzV+JZv21e2bG0ZJKCk6UUXCsjMIT3sRuanJvzuoXy2f7jnLPy5/WJH3HyyoB+P2Nk7hsTH92FZ5g6ZtfEBMZRkJMBAkxkQxL6E5oiLdc89zUBH57w9kkxESSEBNB75hItuQVs2hF4yWcD82b0KoJIbTNWr+2oplCERERERFpoKm1cyEObr84lbsuG8H2g8e59JfvNxjzk9ljuHHaUHYcOs6PXvqU3r6krjq5Ozc1gaRe3Siv9OAxIyo89LTja48zdsGiPoVKCkVEREREagS6JrCiysNn+46Stfswj7y7naIT5Y2O7dUtnA0/vowTZZU8u3YPCTGR9PYlfb1jIojvFtHqs3XtvYQzmJQUKikUEREREQECS5weeXc7H247xKa9xTUzb+elJrB+9+FGSzTbSwIWzE1w2jMlhUoKRURERET8lliGhzouGN6H2KgwHpo3EYAbHl9DcUkF6UPiSR/ai/Qh8fSPi1KJZgemjWZERERERDqRlsyG/X3Lfu5YubHBTF9FlfH21oNMHNQTj8cICXH88eZzCPFt7FJb/fYLSgg7JyWFIiIiIiLtWO3Zuvo7f1Y7XlZJdu4RNucWk51bTHbeEfYWlTR53YPHymoSQX8JYbXOtMum+Nfm5aPOuUHAU0B/wAP83sweds7FA88BQ4FdwNfM7LBzzgEPA18CTgILzeyTpu6h8lERERER6Qz8lW9GhYew5IqRVBlcNrofg+K78ef1ufx7xiYABsVHk5bYkx7RYby4Ia9Bg3dQCWhX0N7LRyuBfzezT5xzscB659zfgYXA22b2gHNuCbAE+CFwJTDc93UO8KjvTxERERGRTquxlhClFR7++6+fAd4dQAfFd+OCs/qw4uYpjEuMI757RM3Yr4wfqDWBckqtu0esH2aWXz3TZ2bHgM+BRGA2sMI3bAVwte/72cBT5rUG6OmcG9DGYYuIiIiItJrMnALOfeAdMnMKat77/nMN1wPW1r9HFF89OwmAPrGRXHhWnzoJIfyr9DPa1wNQCaH40+ZJYW3OuaHAROBjoJ+Z5YM3cQT6+oYlAntrnZbre6/+tb7lnMtyzmUdOnSoNcMWERERETljqmcE846UsGj5On7/QQ7/76ksDh4twzWy1C86PJRfzh0f0PWrE8PEntFKCMWvoG0045yLAf4MfM/MjrrGfuPB34EGCyHN7PfA78G7pvBMxSkiIiIi0lrql4iWVHj439e2EhsVxm0XpTByQA9++EL2aZd/Tk9JYPWSGWc8fukcgjJT6JwLx5sQPmNmf/G9faC6LNT350Hf+7nAoFqnJwH72ipWEREREZFA+SsD9cfjMZ79eA/zl631WyJaUeXhvOEJzBo/UOWf0uraPCn07Sa6DPjczH5Z69ArwALf9wuAl2u9P995TQWKq8tMRURERETai7ploFkNEsNjpRU8v24vdzy7gSn/+xZ3v7iZSo//ArfSCg+LM7IBlX9K6wtGS4rzgA+BzXhbUgD8B951hc8Dg4E9wBwzK/Ilkb8BrsDbkuImM2uy34RaUoiIiIhIW2qsdcRtF6YyeVgvpqckcOhYGZN/+hZ9YiM5LzWBfj2iWL56J6WVahkhZ15zWlK0eVLYFpQUioiIiEhbaax1RLXJQ3uRcet0AHYcOs6whO5U76fh71wlhHImNCcpDOruoyIiIiIi7dWp1gdWVnn4ZM9hvv3MJ022jsg7UlLzfXKfGGpvsKiWEdIeBG33URERERGR9qr2DN6i5Vk1idrOghO8/fkBMnMKWbuziONllYSHOqLCQyit8F8G+vM5TbeOqE4MF2dks3ROmhJCaXMqHxURERERqaWx9YFPLJzMhj1HWPrmFyQndGdaSm+mpyQwLaU3W/cfVRmotCtaU6ikUERERESakJlT4HdmLjOngJuXr2t01u/BueNJS+rJwJ7Rfq9ZnRgqIZRg05pCERHHNyotAAAgAElEQVQREZFGNNU64vvPbfSbEAKUVFTxk7997jchBLWOkI5LSaGIiIiIdBn1S0NLKqqYv2wtdz63EYAHvzaBsBDn99zo8FCWzklr8vrTUxJYvWSGEkLpUJQUioiIiEiX0FjriEqP8dLGPDK3FzA9NYGnFk2p2Q20mspBpTNTUigiIiIinUZjbSTKKz3clbGp0dYRHoPFL2QDahMhXY+SQhERERHpFOqvFfxw2yHe/+chFmdsIv2+v3PTuUMbzABWq18aqvWB0pVo91ERERER6fAaKw0FiIkM47LR/fjm+ckcKSlX6wjpErT7qIiIiIh0eI2VgtZmZrz4SS4LnljrNyGMCA3hN1+fyC/nTmD0wB4qDRXxQzOFIiIiItLunKrn31ufHWDVZ/tZvb2QvCMlTV4rsWc0q5fMaHB9f30KRToLzRSKiIiISIflr23EwifW8f3nNlA9ofHa5nze+HQ/4xLjuGn6UCLD/P+ztrE2EmodIfIvmikUERERkXajqbWBAL++fiJfGT+Q4pMVxESFEerrKejvPJWGSlemmUIRERERaZcaWyfo8Rgb9hzmzucabxsB8MDrWwGI6xZekxCC2kiInI6wYAcgIiIiIl1D7dm8Rcuz+P38SYSGON78dD9vbjnA/qOlzE0fxCub9vlNDBsrBa1WnRhqraBI86h8VERERERaXVNloVHhIVx0Vl+uGNufi0f2Zcu+YpWCipwmlY+KiIiISKsLtGXEc+v2ML+JlhGP3TCJx26cxNUTE4mLDlcpqEgbU1IoIiIiIs1WPfOXd6SERcuz/CaGj3+4g8k/fZsf/nkzlVX+q9PKqzz850ufNni/OjFM7BmthFCklWlNoYiIiIg0S2MtIy4a0Yfth47z3Lem0Sc2krjocM5N7U2/HlE8lbmL0kpPg2s1tU6wum2EiLQuJYUiIiIiErDG1gaWV3lY9dkBJgyK42hpBX1iI5mTPog56YMAuGhEH60TFGmnVD4qIiIiIn75WzP4vZUbm2wZcehYOSl9Yhq8r3WCIu2XkkIRERERaaDumsF1LPvHDhY+uZaDx8qo1R6wjkBbRmidoEj7opYUIiIiIlJHYyWisVFh/L/zkxnVP5Y76s0YauZPpH1RSwoRERERaSCQFhJvfJrPgkbaR1RUeUgf2ouZY/qrFFSkE1FSKCIiItIFNNZCwuMxNucW86u3t3H1I6u59elPqGikfURphYfFGdmASkFFOhOVj4qIiIh0cv7KQaPCQnjipskM6tWN8//vXZyDtKSeDO8Tw1+z91HWSPsIJYAiHUNzykeVFIqIiIh0Yo2tD4R/JXnFJyuYPCyehJjIRs9RQijSsWhNoYiIiEgXVnvt4OKM7EZbSJRUVLE4I5srxw2oSQhB7SNEuholhSIiIiKdSP21gwvPHUJYIz0kmmohoTWDIl2HykdFREREOonGyj7vuCSVh9/aRmmtdYKa/RPp3FQ+KiIiItKJBNJK4u9bDrDQTyuJkooqfvX2dv798rNUDioifikpFBEREWnHmmol8cX+YzXj/u3ZTyhvpJVESUUVy1fvVjmoiPil8lERERGRdspfOWh4qGPK0Hg+33+MohPlrP3PS+gbG8VTH+3ip69+rlYSIgKofFRERESkw8vMKeDm5esalINWVBmrcwoZPaAHD82dQPeIMADmTxvKkzdNrikRraaEUERORUmhiIiISBtqan1glcfIzj3Co+/lcNOT6yitaDjrV21nwQmunphI98iwmvfUSkJEWkJJoYiIiEgbabA+cHsBx8sqATheVsmk+/7OrN+s5mdvbKVvbCShaiUhIm1AawpFRERE2oA3IVxHSb3Zv4mDevLit88F4BerviC1bwzTUxLoExvZaIsJJXsicipaUygiIiJyhgTSDsKfguNlZOYU8OKG3FrJXcNy0E/3Fddc+98vG8HsCYn0iY0EVA4qIm1DM4UiIiIijag9U9dYQnb4RDk9u4XjnOPP63N5Pmsv2w4ep+hEOQBhIY6+PSLZd6S00fsk9oxm9ZIZTcaxOCObpXPSlBCKSECaM1MYduohIiIiIl1P/dLNkooqbnpyHd+YOpgqD/zzwDH+eeA4BcfLWHP3JfSPi+J4WSUVVR4uG92P4f1iOatfDGf1iyXn4HEWrchqsJMoNL0+sNr0lIQmk0YRkdOhmUIRERHpck4185aZU8DNT66j1E/PP4CosBBGDuhRk/Rde3YSvbpHnPKeWh8oIm2lOTOFSgpFRESkS2mqJLS4pIJn1+7hF6u+oKKq8X8jJfaMYvWSS87ovUVEziRtNCMiIiLiR2MloU/8YycAzsEvV/2TxF7RhDXZDmJ8i+6vdhEi0h5pplBERES6BH/lm9VCHDz9zXOYnpJA0Yly4rtHqNxTRDo0zRSKiIhIpxdoq4iDR0t5d+tBFmdk+00IATwGizOyAYj3rQ1UOwgR6Sq0+6iIiIh0OLVn8RYtz6qTrOUXl/DBPw+xdudh1u0qYk/RSQD+cGM6d6zc0KwdQKsTQ7WDEJHOTOWjIiIi0qH4K+sMC3U8PHcCX04byB/X7Oaelz6ld/cI0of2YvLQeCYPjWfMwB6s3VWkklAR6RLUp1BEREQ6pcZaRVRWGd9/biO9ukfw5XEDmJbcm5Q+3XGu7mYx1TN/2gFURORftKZQRERE2q0qj/FpXjF/+GAH72w9wOKM7EZ7B5ZXGYszsonvHkFq35gGCWE17QAqIlKXZgpFRESk3VmRuYt/bC/g4x2FHC2tBGD+tCEsnZPW6A6ija0L9Gd6SgKrl8w4ozGLiHRUSgpFREQkaMyM7QeP89GOQo6crOCOS4YDkLF+L0dLKrly7ACmpfRmanJv+sdFAdQp/6ymMlARkZbTRjMiIiJyRmTmFAS8S+fbnx/gxQ15rNlRRMHxMgBS+8bw9+9fgHOO42WVxEQ2/v+ua282o4RQRKQhbTQjIiIibaqxFhFmxp6ik3yUU8iaHYXcd804YiLD2JxXTNauw5w/PIGpyfFMS05gUHx0zTrAphJCUKsIEZEzSTOFIiIiclr8tYiIDAthyrB4cg4eZ19xKQAJMRGsuHkKYwbGUV7pITzUNboZjIiInB7NFIqIiEibePvzA9z2zCeU19sRtKzSw4fbCpgytBe3XpTCtOTedXYEjQjTBugiIu2FkkIREREJyNHSCk6UVTIgLppjpRXM+s1qdhacaPKcvCOlzJ82tG0CFBGRFlFSKCIiIn59vKOQTblHyM4t5tO8YnYVnuQr4wfy6+snEhsVztmDe5E+pBcvb9xHeVXD3oHNaREhIiLBo6RQRESkiys+WcGn+4rZnFdMWYWH717qbQvxP3/9jM/yj5LYM5qxiT24blISU4b1rjnvF18bD8A1ZyeqRYSISAempFBERKSDa04riGOlFcRGhQPw2/e2s3LtXvYUnaw5PrJ/bE1S+NC8CSTERBLfPaLJa1bvBKoWESIiHVPQdh91zoUCWUCemV3lnBsGrATigU+AG82s3DkXCTwFTAIKgblmtqupa2v3URER6Sqa6tdXXFJBdu4RNud5yz835xWTd7iE7P++nJjIMJ74x07W7SpibGIc43xfvU6RAJ4qFrWIEBFpH5qz+2gwk8I7gXSghy8pfB74i5mtdM49Bmwys0edc7cDaWZ2q3NuHnCNmc1t6tpKCkVEpCvw1woiLMTx8LwJfDltICsyd/Ffr2wBYFB8NOMS4xibGMcN5wwhLjo8WGGLiEgbaPctKZxzScCXgZ8Cdzrv/tQzgK/7hqwA/ht4FJjt+x7gBeA3zjlnnbHBooiISIAycwq4+cl1lNZrBVHpMb7/3CZ6dY/gsjH9SO0bw9iBccR1UxIoIiL+BatJ0EPAD4Dqv8l6A0fMrNL3OhdI9H2fCOwF8B0v9o2vwzn3LedclnMu69ChQ60Zu4iISFCYGVv2eUtBF2dkN0gIq5VXeVickc2AuGjOTU1QQigiIk1q85lC59xVwEEzW++cu6j6bT9DLYBj/3rD7PfA78FbPnoGQhUREQk6byJ4lNc25/Pa5nx2FZ7k0lH9WDonrUHpaDW1ghARkeYIRvnoucAs59yXgCigB96Zw57OuTDfbGASsM83PhcYBOQ658KAOKCo7cMWERFpe99ckcXbWw8SGuKYltybb12QwuVj+tE7JrLOjp/VtPOniIg0V5snhWZ2N3A3gG+m8C4zu8E5lwFch3cH0gXAy75TXvG9/sh3/B2tJxQRkc7GzPg07yivbs7n/X8e4sXbpxMVHsqsCQOZObofl43p36A1hFpBiIjImdCe+hT+EFjpnLsP2AAs872/DPijc2473hnCeUGKT0RE5IzbW3SSpz/ezWub89lbVEJYiGN6agKFJ8pJ7BnN7AmJTZ5fnRiqFYSIiLRU0FpStCa1pBARkfbKzNiUW0xsVBgpfWLYtPcI1z6aybmpCXx53ABmju53Wr0CRUREoAO0pBAREelKzIyNe4/4NovZT96REq6fMpj7vzqOtKQ4sn50KT27KREUEZHgUFIoIiLSyq7+bSab9h4hPNRx/vA+fH/mWcwc1Q8A55wSQhERCSolhSIiImeIx2Ns8M0Ibtp7hOdvmUZIiGPOpCTmTx3CpaP7ERetnoEiItK+KCkUERE5TdsPHueZj3fzxqf7yS8uJSI0hAvOSuBYaSVx3cL5xtQhwQ5RRESkUUoKRUREmsnjMdbvOczAntEk9oxmV8EJnlmzhwvO6sMPrhjBJaP60SNKM4IiItIxKCkUEREJgMdjZO0+zGub83n903wOHC3jjkuGc+fMs7jgrD6sv+dSYpUIiohIB6SkUERE5BSqPMaMX7zH7sKTRISFcPGIPnxp3AAu8W0WExEWQkRYSJCjFBERaRklhSIi0qVk5hQ02ei9ymOs21XEa5vz2XekhMcXTCY0xPH1KYPpHxfFJaP6EROpvz5FRKTz0N9qIiLSZWTmFLBoeRYlFVUsWp7FsoXpNYnhp3nFPLduL69/up+C42VEhYcwY2Rfyis9RISFcMuFKUGOXkREpHUoKRQRkS6hdkIIUFJRxcIn1/Hr6ydy+Zj+bM4rJmP9XmaM7MuXxg3g4hF96a4ZQRER6QKcmQU7hjMuPT3dsrKygh2GiIi0E/UTwtrCQx0rbp7CxEG9MIxuEUoERUSk43POrTez9EDGBrQq3jnXzzm3zDn3uu/1aOfcotMJUkREpK0szsj2mxACVFQZizOyiY4IVUIoIiJdUqBbpS0H3gQG+l7/E/heawQkIiJyppRWVJG5vYClc9KIDg/1OyY6PJSlc9LaODIREZH2I9CkMMHMngc8AGZWCfj/X64iIiJBVlxSwSPvbue8n73L/CfWkpwQw7KF6Q0Sw+jw0DqbzYiIiHRFgdbJnHDO9QYMwDk3FShutahERERaoOB4Gb97P4c/fbyHE+VVXHBWH269IJl+PSLpHxfFsoXpNWsLlRCKiIh4BZoU3gm8AqQ451YDfYDrWi0qERGRZqhuG1FW6eGpj3Zzxdj+3HJBCqMH9qgzbnpKAssWpjfZp1BERKSrOeXuo865EGAqsBYYATjgCzOraP3wWka7j4qIdH5mRtbuwzz2Xg7lVR7+uOgcAI6cLKdnt4ggRyciIhJczdl99JQzhWbmcc79wsymAVtOOzoREZHT4PEYb31+gMfez+GTPUeI7x7BgmlD8XiMkBCnhFBERKSZAi0fXeWcuxb4i3XGxoYiItJhPPPxbu55eQuD4qO5d/YY5kwaRHSE/51FRURE5NSas6awO1DpnCvFW0JqZtaj6dNEREROz9HSCp5Zs4eUPt25bEx/Zk9MJK5bBF8a25+w0EA30RYREZHGBJQUmllsawciIiJS24GjpTzxj5088/EejpdVsmDaEC4b058eUeHMGj/w1BcQERGRgASUFDrnLvD3vpl9cGbDERERgV+/vY1fvbONKo/x5bSB3HJBMmMT44IdloiISKcUaPno4lrfRwFTgPXAjDMekYiIdEnrdxcxon8PYiLDGNy7G9dPGcw3z0tmcO9uwQ5NRESkUwu0fPQrtV875wYB/9cqEYmISJfh8RjvbD3IY+/nkLX7MD++ajQ3nzeM2RMSmT0hMdjhiYiIdAmBzhTWlwuMPZOBiIhI12FmvLA+l99/sINtB4+T2DOa//7KaL42eVCwQxMREelyAl1T+GuguhVFCDAB2NRaQYmISMeXmVPA4oxsls5JY3pKAgAVVR7CQ0NwzvHC+lzCQkN4eN4EvjxugHYSFRERCRIXSNtB59yCWi8rgV1mtrrVojpN6enplpWVFewwRES6rMycAhYtz6Kkooro8FB+8bU0NucdJSNrL6/ecT79ekRx5GQ5cdHhOOeCHa6IiEin45xbb2bpgYwNdE3hiloX7wWovkdERPyqnRAClFRUcfszG3DAl8YNoLzSA0DPbhFBjFJERESqBVSr45x7zznXwzkXj7ds9Enn3C9bNzQREelo6ieEtUWEhXDD1MEMitduoiIiIu1JoAs44szsKPBV4EkzmwRc2nphiYhIR/TdlRv9JoQAZZUeFmdkt3FEIiIiciqBJoVhzrkBwNeAv7ViPCIi0gGt3VnEjcs+5tCxskbHRIeHsnROWhtGJSIiIoEItCXFvcCbwD/MbJ1zLhnY1nphiYhIR7Dj0HGW/GUza3cWkRATwd1XjmR4vxi+/cyGOjOG0eGhLFuYXrMLqYiIiLQfgW40kwFk1Hq9A7i2tYISEZH2y8woPFFOQkwkvbpFUHC8jP/6ymjmTR5MdEQoAMsWptfZfVQJoYiISPsV6EYz/+fbaCbcOfe2c67AOfeN1g5ORETaD4/HeG1zPl/61T+46cl1mBm9ukfw9p0XctO5w2oSQoDpKQksW5hOYs9oJYQiIiLtXKDlo5eZ2Q+cc9cAucAc4F3g6VaLTERE2oXKKg9/zd7HI+/msP3gcZITurPo4lTMwDka7TM4PSWB1UtmtHG0IiIi0lyBJoXhvj+/BDxrZkVqNiwi0jW8tHEfd2VsYkS/WH59/US+NG4AoSH6O0BERKSzCDQp/KtzbitQAtzunOsDlLZeWCIiEiylFVU8n7WXuOhwZk9I5CvjB9AzOpwZI/sSomRQRESk0wl0o5klzrmfAUfNrMo5dxKY3bqhiYhIWzpZXsmfPt7D7z7YwaFjZVyVNoDZExKJDAvl0tH9gh2eiIiItJKAkkLnXDfg28Bg4FvAQGAE6lkoItIpvLghl3v/+hmHT1ZwbmpvfjVvIlOT44MdloiIiLSBQMtHnwTWA9N9r3PxtqhQUigi0kEdPlFOSIgjLjqcHlHhTBjUk+/MGM6kIb2CHZqIiIi0oUCTwhQzm+ucux7AzEqcdpoREemQDh0r4/EPd/DHNbu56dyhLL58JJeM6sclo1QiKiIi0hUFmhSWO+eiAQNwzqUAZa0WlYiInHH5xSX87v0dPLt2DxVVHq5KG8is8YnBDktERESCLNCk8L+AN4BBzrlngHOBha0VlIiItExmTgGLM7JZOietQcP4n/ztM97ccoBrJiZy+0UpJPeJCVKUIiIi0p44M2t6gLdMNAk4CUwFHLDGzApaP7yWSU9Pt6ysrGCHISLSpjJzCli0PIuSiiqiw0O57+oxfLSjiNsuSiGlTwy7C08Q4hyD4rsFO1QRERFpZc659WaWHsjYU84Umpk5514ys0nAq6cdnYiInHG1E0KAkooq/j0jm/BQx/nDE0jpE8OQ3t2DHKWIiIi0RyEBjlvjnJvcqpGIiEiL1E8Iawt1jj6xkUGISkRERDqKQJPCi/EmhjnOuWzn3GbnXHZrBiYiIqdWXFLBt5/5xG9CCFBa6WFxhv5zLSIiIo0LdKOZK1s1ChERaZYt+4p5es1uXtqwj5KKKiLDQiir9DQYFx0eytI5aUGIUERERDqKJpNC51wUcCuQCmwGlplZZVsEJiIiDe0pPMn3ntvAJ3uOEBkWwuwJA7lx6lCOlVU0KCGNDg9l2cL0BruQioiIiNR2qpnCFUAF8CHe2cLRwHdbOygREfmX3MMnyS8uZfLQePr2iMSAH315FHMmDSKuW3jNuGUL0+vsPqqEUERERALRZEsK59xmMxvn+z4MWGtmZ7dVcC2llhQi0tF5PMYH2w7x9JrdvL31IMMSuvP2nRfi7RLUuKb6FIqIiEjXcSZbUlRUf2Nmlaf6x4iIiJy+1zfnc//rW9lTdJKEmEi+c3Eq108ZfMqEEGB6SgKrl8xogyhFRESkszhVUjjeOXfU970Don2vHd4Whj1aNToRkS5i494jJPaMpk9sJM5B/x5R3HX5CK4Y05+IsEA3ihYRERFpviaTQjMLbatARES6mtKKKl7ZtI+n1+wmO7eY7196Ft+9dDiXj+nPFWMHBDs8ERER6SICbUkhIiJniJnxwBtbWbl2L8UlFQzvG8NPZo/h6omJAAGViYqIiIicKUoKRUTaQJXH2LDnMOlD43HOkVtUwnnDE5g/dQhThsUrERQREZGgUVIoItKKDh0r4/msvfzp4z3kHSnh3bsuYlhCd359/URCQpQIioiISPApKRQRaQV5R0r42etbef3TfCqqjHNTe3PPVaNI6hUNoIRQRERE2g0lhSIiZ8iJskoOHitjWEJ3osNDycwp5BtTh3DDOUNI7RsT7PBERERE/FJSKCISgKaawm8/eIyn1+zhz+tzGd4vhr/cfi7x3SNYc/cMwkLVTkJERETaNyWFIiKnkJlTwKLlWZRUVLFoeRbLFqYzPSWBf2wr4JF3t/PRjkIiQkP4ctoAvjF1cM15SghFRESkIwhKUuic6wk8DowFDLgZ+AJ4DhgK7AK+ZmaHnXdLvoeBLwEngYVm9kkQwhaRLqh2QghQUlHFzcvX8cTCyewqPMGeopP84IoRzE0fRO+YyCBHKyIiItJ8wfrf2A8Db5jZSGA88DmwBHjbzIYDb/teA1wJDPd9fQt4tO3DFZGuqH5CWK20wsOi5VkMju/GBz+4mNsvSlVCKCIiIh1WmyeFzrkewAXAMgAzKzezI8BsYIVv2Argat/3s4GnzGsN0NM5N6CNwxaRLmhxxqYGCWG1kooq7v7LZkK1i6iIiIh0cMGYKUwGDgFPOuc2OOced851B/qZWT6A78++vvGJwN5a5+f63qvDOfct51yWcy7r0KFDrfsEItKpmRkAS68bT2M95aPDQ1k6J60NoxIRERFpHcFICsOAs4FHzWwicIJ/lYr64++fZNbgDbPfm1m6maX36dPnzEQqIl1KWWUVK9fu4cqHP6TgeBnTUxP41byJRIXX/U9ldHhozWYzIiIiIh1dMDaayQVyzexj3+sX8CaFB5xzA8ws31ceerDW+EG1zk8C9rVZtCLS6Z0sr+RPH+/h8Q93sv9oKeMS4yg4XkZCTCRfGT+Q3jERNWsLlRCKiIhIZ9PmM4Vmth/Y65wb4XvrEuAz4BVgge+9BcDLvu9fAeY7r6lAcXWZqYjI6TpaWsH5P3uX+179nKEJ3Xjq5im88p1zGdm/R82Y6SkJLFuYTmLPaCWEIiIi0um46rUzbXpT5ybgbUkRAewAbsKboD4PDAb2AHPMrMjXkuI3wBV4W1LcZGZZTV0/PT3dsrKaHCIiXdjBo6V8uK2AayclAfDY+zlMHhrPpCG9ghyZiIiIyJnhnFtvZumBjA1Kn0Iz2wj4C/ASP2MN+HarByUind6ewpP87oMcMtbn4vEY55+VQN/YKG69MCXYoYmIiIgETVCSQhGRtpRfXMLPXt/KX7PzCXWO69KTuOWCZPrGRgU7NBEREZGgU1IoIp3WibJKukeGER4awofbClh03jAWnTeMfj2UDIqIiIhUU1IoIp2KmbF6eyGPvLud8ioPL9w6jYSYSDLvnkFkWGiwwxMRERFpd5QUyv9v797jtKzr/I+/PnNkOA4wyBmECc8iwi3a5Cm11Cx1S9LNWkmsttrtsLu09qu22tqtflj92kfbVhuKlanhVrZbpmZqKZ4GNNC0FJGTIgwIchjm+P39MbfsxEnAmblm7vv1fDx8zH1fp3nf4yXM2+u6vl+pILS3J+74w4t8655nWLpmCyMHV/K+0ybTnqA0sBBKkiTtg6VQUkG4ZckaPnHLUiYO78+X3n48b58+1iIoSZJ0ACyFkvqknS1t/Lh+NcMHVHLB1NG8beoYqspLOf+4UZSV9vgUrJIkSX2WpVBSn/LyzhZ++OBKrr1vBQ3bmrl42hgumDqaqopS3nbCmKzjSZIk9TmWQkm9zqLlDcxduJR5s6ZSV1uza/mND6/iX3/5JFt3tnL6ESP48Jm1zJw0LMOkkiRJfZ+lUFKvsmh5A3MW1NPY0sacBfV85ZKpnHHECIZUlVNdVc5pU2r40Jmv47ixQ7KOKkmSVBAipZR1hi6Xy+VSfX191jEkHaTOhbCzS6aP45p3npBRKkmSpL4nIhanlHIHsq2jMUjqFfZVCAH+Z+nzLFrekEEqSZKkwmcplJS5lBJzFy7dayEE2NnaztyFS3s4lSRJUnGwFErKzPamVq67fwVvvOYe5p57JFXle59XsKq8lHmzpvZwOkmSpOLgQDOSetyLL+9kwaLnuOHBlby8s5UZE4fyusMGMn92bo9bSKvKS5k/O/dno5BKkiSp61gKJfWo7U2tnHXNPTS2tHHusaO46rTJzJg4dNf6zsXQQihJktT9LIWSulVKid893cD9zzTwybcczYDKMv7lL47nxAnVTBw+YI/t62prmD87t9d5CiVJktT1nJJCUrdoam3j5489z/z7VvDUuq0cNqiSX33sdIYNqMg6miRJUsE7mCkpvFIoqcv9fvVm3vf9etZvbeLIkYO4ZtYJvO2E0VSW7X0gGUmSJGXHUiipS6zcuJ2GbU3MmDiM2sMGcuKEai4/eSKnTakhIrKOJ0mSpH2wFEp6TRav3MR//nYFt/9hHceMHswvPnIaAyvL+M57DuhuBUmSJGXMUijpkCx6poFr7k4bjNwAABtjSURBVPgjS1ZtZkhVOR88o5Yr6g7POpYkSZIOkqVQ0gHb3tQKwIDKMjZsa6JhWzOfv/BYZuXG0b/CP04kSZL6In+Lk/Sq1r8y2fxDq/jrM2r54Jm1vHXqGN46dQylJT4vKEmS1JdZCiXt01PrXuZ7v1vBrY+tpbU9ce4xo6irHQ5gGZQkSSoQlkKpiC1a3rDfSeL/5RdPUv/cS7xr5gSuPHXSXieblyRJUt9mKZSK1KLlDcxZUE9jSxtzFtTznffMYP3WJhYsWsF33pNjbHUVX7joOKr7l1Pd3wnnJUmSCpWlUCpCnQshQGNLG3917cMAHDlyEBu2NjG2uorDa7wyKEmSVOhKsg4gqWftXgg7qygt4bNvO4Zp46szSCZJkqQsWAqlIpJS4iM3PrrXQgjQ3NbO3FuW9nAqSZIkZcnbR6Ui0Nzazn///nnm37eChm3N+9yuqryUebOm9mAySZIkZc1SKBW4Jate4gM/WMyGrU1MOWwgX3r78Ywe0o8P/nDJn10xrCovZf7s3F5HIZUkSVLhshRKBejpF7fy8s4WZkwcRu2IgUwbX827T5nI6VNqiOiYX3D+7NyuZwsthJIkScUrUkpZZ+hyuVwu1dfXZx1D6lEpJe790wbm37eC3z3dwIkTqvnph96w331ebZ5CSZIk9U0RsTillDuQbb1SKBWA259Yx7zb/8gz67cxYlAlf/+mI7j8lImvul9dbQ33X31WDySUJElSb2UplPqoF1/eyYDKMgZWlvFyYwuVZSV87Z0ncMHU0VSWlWYdT5IkSX2EpVDqYx5fu4X5963gf5Y+zz+edxRXnTaZd0wfxyUzxu16XlCSJEk6UJZCqY+4/Yl1zL9vBQ+v2MSAilIuP3kibz5mFAAlJZZBSZIkHRpLodSLNbe2U1FWAsCC+59j7UuNfOotR3PpzPEM7leecTpJkiQVAkuh1Aut3rSD6xc9x08eXcttHz2NkYP78Y3LpjFsQAVlpSVZx5MkSVIBsRRKvURKiSWrXmL+fSv41ePriAguOH40za3tABw2uF/GCSVJklSILIVSL7F+axOzvv0Ag/qV8/7Ta7mibiKjh1RlHUuSJEkFzlIoZWTLjhZ+9PAqnmvYzlcumcrIwf24dvZJzJw0jP4V/qcpSZKknuFvnlI3WrS8gbkLlzJv1lTqamsAeHbDNq67/zluWbyGxpY23vC64TS1tlFZVsqZRx6WcWJJkiQVG0uh1E0WLW9gzoJ6GlvamLOgnvmzc2za3szf/OhRKkpLuGjaGK48dRJHjx6cdVRJkiQVMUuh1A06F0JgVzH8t8um8bFzpnD5yRMZMagy45SSJEkSOLa91MV2L4SvaGxp4yM3PcbMScMshJIkSeo1LIVSF/u7m3+/RyF8RWNLG3MXLu3hRJIkSdK+WQqlLnbhCaP3ua6qvJR5s6b2YBpJkiRp/yyFUhdYvPIlblv2AgBXn38037h0GlXlpX+2TVV5KfNn53aNQipJkiT1Bg40I70GL21v5iu/eoqbHlnNUaMGce6xoygpCS46cSwjBlfuerbQQihJkqTeyiuF0iFob0/c9PAqzvrqPdyyeA0fOH0y//XBOkpKYtc2dbU1zJ+dY2x1lYVQkiRJvZZXCqVD8Ojql7j6J8uYefgwvnDxcRw5atBet6urreH+q8/q4XSSJEnSgbMUSgfo5Z0tPPTsJt50zEhmTBzGje87hVMmDyMiXn1nSZIkqZfy9lHpVaSUuPWxtZz91Xv58I+WsGFrEwCvrx1uIZQkSVKf55VCaT+eWb+Vz/zsCR54diMnjBvC/CtyTjwvSZKkgmIplPZhy44WLvzm/ZSVBF+8+Dj+cuYESku8MihJkqTCYimUOkkp8djqzZw4YShD+pfz1VkncNKkYdQM9OqgJEmSCpPPFEp5qzbuYM719fzFtxbxwPKNAJx//GgLoSRJkgqaVwpV9Jpa2/juvc/yzbufoawk+PQFR5M7fGjWsSRJkqQeYSlUUVm0vIG5C5cyb9ZU6mprSClx2Xcf5NFVm7lg6mg+c8ExjBrSL+uYkiRJUo/JpBRGxMeBq4AELAPeC4wGbgKGAUuA96SUmiOiEvg+MAPYCFyaUnoui9zq2xYtb2DOgnoaW9q48rpHmH/FSbxhSg1zTp3E4H7lnH7EiKwjSpIkST2ux58pjIixwEeAXErpOKAUuAz4CvD1lNIU4CVgTn6XOcBLKaXXAV/PbycdlM6FEGBnazuzFzzMouUNvHXqGAuhJEmSilZWA82UAVURUQb0B14AzgJuya+/Hrg4//qi/Hvy688OZwzXQVi0vIErFzyyqxC+oqUtMWdBPYuWN2SUTJIkScpej5fClNJa4BpgFR1lcAuwGNicUmrNb7YGGJt/PRZYnd+3Nb/98N2PGxHvj4j6iKjfsGFD934I9SlzFy5lZ0v7Xtc1trQxd+HSHk4kSZIk9R5Z3D46lI6rf5OAMcAA4Py9bJpe2WU/6/53QUrfTSnlUkq5ESO8FbCYNbe289+/f553f+8hNm5rYt6sqVSU7f1UryovZd6sqT2cUJIkSeo9shho5hxgRUppA0BE/ASoA6ojoix/NXAc8Hx++zXAeGBN/nbTIcCmno+t3m7t5kZufGgVNz2ymoZtTYwfVsWqTTuoq61hwXtP+rNnCqGjEM6fnaOutibD1JIkSVK2siiFq4BTIqI/0AicDdQDdwOX0DEC6RXArfntf55//0B+/W9SSntcKVRx27C1idP/7920p8RZRx7Gu18/kTOmjKCkpONCc11tDfNn53YVQwuhJEmS1CGy6FcR8XngUqAVeJSO6SnG8r9TUjwKvDul1BQR/YAfACfScYXwspTSs/s7fi6XS/X19d34CZS1TdubWVi/mhe27ORzFx4LwM2PrKKutobxw/rvc7/d5ymUJEmSClFELE4p5Q5o20K86GYpLEwpJZas2swPH1zJL5a9QHNrO3W1w/n+lTMpK81qIF1JkiSp9zmYUpjJ5PXSofjBgyv5p1ufYGBlGZedNJ53nzKRI0YOyjqWJEmS1KdZCtVr/enFrfzwwZWcccQIzj56JOceO4rSkuDiaWMZUOmpK0mSJHUFf7NWr9Lc2s6vnljHDx9cycMrNlFRWsLY6irOPnokIwf34/KTJ2YdUZIkSSoolkL1Kpd/70Eeee4lJgzrzyfPP4pZufEMG1CRdSxJkiSpYFkKlZn29sS9T2/gJ0vWMu+SqfQrL+X9p9fy4TcGp3eaTkKSJElS97EUqsdt2t7Mj+tXc8NDK1m9qZGagZU8s34bx40dwpuOGZl1PEmSJKmoWArVo1Zt3ME5X7uX5rZ2Tp40jE+cexTnHjuKijKnlJAkSZKyYCnUa7a/CeG3NbXys0fXsnVnKx88s5bxw6r46DlTeNMxI51OQpIkSeoFLIV6TRYtb2DOgnoaW9qYs6Ce+bNz1NXW8Md1HdNJ/PTRtWxrauWkw4fy12dMJiL48Btfl3VsSZIkSXmWQh2yzoUQ2FUM3z59LDc8tIqKshLeevxoLj9lItMnVBPhwDGSJElSb2Mp1CHZvRC+orGljVsWr+FdJ4/nH958lNNJSJIkSb2co3vokMxduHSPQviKptZ27v1jg4VQkiRJ6gMshToks2aMY183g1aVlzJv1tQezSNJkiTp0FgKdUgSMGFY/z2mkqgqL9012IwkSZKk3s9SqAPy/OZGPnbTo9zxxDoAPvTGWn7zD2ey4L0nUVVeClgIJUmSpL7IUqj92t7Uytfu+CNnffUefvn4Op7f3AhAZVkppSVBXW0N82fnGFtdZSGUJEmS+iBHH9U+3bbsBT7330/w4stNvO2EMfzjeUcybmj/Pbarq63h/qvPyiChJEmSpNfKUqg9pJSICLY3tzFqSBXfunw6MyYOyzqWJEmSpG5gKdQuqzft4Eu3PcmMicOYc+ok3n7iWN5+4lhKSpx0XpIkSSpUlkKxdWcL37z7Ga677zlKS4LpE4YCWAYlSZKkImApLHK3P7GO//OTZWzc3sw7po9j7rlHMmpIv6xjSZIkSeohlsIi1drWTllpCdVV5UweMYDr3nsSU8dVZx1LkiRJUg+zFBaZ5Ru28a+/eJLxw/rzuQuP5eTJw/nxB15PhLeKSpIkScXIUlgkNu9o5ht3Pc0PHlhJv/JSXl87fNc6C6EkSZJUvCyFReDup9bzsZsfY+vOFi49aQJ/96YjGDGoMutYkiRJknqBkqwDqOssWt7AG778GxYtbyClxI7mVgAmjxjAiROq+eVHT+NLbz/eQihJkiRpl0gpZZ2hy+VyuVRfX591jB61aHkDcxbU09jSRmVZCUeMHMhhg/oxf/ZJWUeTJEmS1MMiYnFKKXcg23qlsAB0LoQATa3tLFv7MmOqqyjE0i9JkiSp61gK+7jdC2FntyxewwPPbswglSRJkqS+wlLYh63auIOP3vTYXgshQGNLG3MXLu3hVJIkSZL6Ekcf7YOefOFl/uOe5fzP0ueZPGIA23a27rUYVpWXMm/W1AwSSpIkSeorLIV9yNI1m/nGr5/mrqfW07+ilKtOm8ycUyexfMO2PW4hrSovZf7sHHW1NRkmliRJktTbWQp7uZQSbe2JstIS/vD8yyxZ9RIfP+cIrqibSHX/CgBGDu7H/Nm5XcXQQihJkiTpQDklRS/V1p741ePr+NY9z3DJjHG89w2TaG5tp7W9nf4Ve+/yi5Y3MHfhUubNmmohlCRJkorYwUxJ4ZXCXqa5tZ2fPbqWb9+7nGcbtjOpZgAjB/cDoKKshIr9jA1UV1vD/Vef1VNRJUmSJBUAS2Ev89GbHuW2x9dx7JjB/Pu7pnPecaMoLYmsY0mSJEkqUJbCjG3Z0cL3H3iOS2eO57BB/bjqtElcNnMCp0+pIcIyKEmSJKl7WQozsv7lnXzvvhXc8OBKtje3MXJIP96ZG8+MicOyjiZJkiSpiFgKe1h7e+KzP3+Cmx9ZTWt7O2+dOoYPnlnL0aMHZx1NkiRJUhGyFPaQtZsbGVtdRUlJsK2plUty4/jA6ZOZOHxA1tEkSZIkFTFLYTdbvHIT/373cu7543ru+PjpvO6wQXztnSf4vKAkSZKkXsFS2A1SSvz26Qb+/e5neHjFJqr7l/PRs49gxMCOqSUshJIkSZJ6C0vhIdrfRPGbd7TwgR/UU11VwacvOJq/nDmBAZX+qCVJkiT1PjaVQ7BoeQNzFtTT2NLGnAX1fOc9M1i3ZScPPLuRr73zBIYOqOCGq07huLGDqSwrzTquJEmSJO2TpfAgdS6EAI0tbfzVtQ8DcMzowWxpbKG6fwUzJg7NMqYkSZIkHZCSrAP0JbsXws4qSkv49AVHU92/IoNkkiRJknRoLIUHYe7CpXsthADNbe3MvWVpDyeSJEmSpNfGUniAUkpcPG0M+xo4tKq8lHmzpvZsKEmSJEl6jXym8ABs2NrEp3+2jNufeJEphw1g9aZGdra271pfVV7K/Nm5PUYhlSRJkqTezlL4Kn6x9AU+c+vjbGtq5ZPnH8VVp03moRUbdz1baCGUJEmS1Jd5++h+tLcnrrt/BeOHVvGLvz2VD5xRS2lJUFdbw/zZOcZWV1kIJUmSJPVpkVLKOkOXy+Vyqb6+/pD3v/MPLzJtfDUjBlXSsK2J6qpyykrtz5IkSZL6hohYnFLKHci2Np1Otuxo4eM3P8b7vl/Pf/7uWQBqBlZaCCVJkiQVLJ8pzPvNUy9y9X8tY9P2Zj569hT+5qzXZR1JkiRJkrqdpRC44aGVfOqnj3PEyIFcO/skjhs7JOtIkiRJktQjiroUNrW2UVlWynnHjmLD1iY+eGYtlWWlWceSJEmSpB5TlA/LbW9q5VM/XcZffvdB2toTwwdW8rFzjrAQSpIkSSo6RXel8IHlG5l7y+9Zu7mR9502mdb2dkpLLIOSJEmSilPRlMKdLW18+banWLDoOQ4f3p+FH3g9ucOHZR1LkiRJkjJVNKUwJfjt0xuYXXc4nzjvSPpXFM1HlyRJkqR9KsjJ6weOOzLdce/9TJ8wlO/97lmuPHUS/SvKaGxuo6rCW0UlSZIkFbZeMXl9RFwbEesj4vFOy4ZFxJ0R8XT+69D88oiIf4uIZyJiaURM77TPFfntn46IKw7ke7e0tfPe6x7hrGvu4Zo7/sRdT64HsBBKkiRJ0m66c/TRBcB5uy27GrgrpTQFuCv/HuB8YEr+n/cD/wEdJRL4LHAyMBP47CtF8tU0tbbz/JadfPL8o3jbCWNe40eRJEmSpMLUbaUwpfRbYNNuiy8Crs+/vh64uNPy76cODwLVETEaOBe4M6W0KaX0EnAnexbN/fp/v36aRcsbDvVjSJIkSVJB6+l5CkemlF4AyH89LL98LLC603Zr8sv2tXwPEfH+iKiPiPrOyxtb2pi7cGkXxZckSZKkwtJbJq+PvSxL+1m+58KUvptSyu3+MGVVeSnzZk3tgoiSJEmSVHh6uhS+mL8tlPzX9fnla4DxnbYbBzy/n+UHpKq8lPmzc9TV1rym0JIkSZJUqHq6FP4ceGUE0SuAWzst/6v8KKSnAFvyt5feDrw5IobmB5h5c37Zq7IQSpIkSdKr67YZ3CPiRuBMoCYi1tAxiuiXgR9HxBxgFTArv/kvgbcAzwA7gPcCpJQ2RcQXgEfy2/1zSmn3wWv2UF5aYiGUJEmSpANQkJPX53K5VF9f/+obSpIkSVIB6hWT10uSJEmSej9LoSRJkiQVMUuhJEmSJBUxS6EkSZIkFTFLoSRJkiQVMUuhJEmSJBUxS6EkSZIkFTFLoSRJkiQVMUuhJEmSJBUxS6EkSZIkFTFLoSRJkiQVsUgpZZ2hy0XEBmBl1jm6SQ3QkHUIqZt4fqvQeY6rkHl+q9D1tXN8YkppxIFsWJClsJBFRH1KKZd1Dqk7eH6r0HmOq5B5fqvQFfI57u2jkiRJklTELIWSJEmSVMQshX3Pd7MOIHUjz28VOs9xFTLPbxW6gj3HfaZQkiRJkoqYVwolSZIkqYhZCiVJkiSpiFkK+4iIqI6IWyLiqYh4MiJen3UmqStFxMcj4omIeDwiboyIfllnkl6LiLg2ItZHxOOdlg2LiDsj4un816FZZpQO1T7O73n531OWRsRPI6I6y4zSodrb+d1p3T9ERIqImiyydRdLYd/xDeBXKaWjgBOAJzPOI3WZiBgLfATIpZSOA0qBy7JNJb1mC4Dzdlt2NXBXSmkKcFf+vdQXLWDP8/tO4LiU0lTgT8AnezqU1EUWsOf5TUSMB94ErOrpQN3NUtgHRMRg4HRgPkBKqTmltDnbVFKXKwOqIqIM6A88n3Ee6TVJKf0W2LTb4ouA6/Ovrwcu7tFQUhfZ2/mdUrojpdSaf/sgMK7Hg0ldYB9/fgN8HfgEUHAjdVoK+4bJwAbguoh4NCK+FxEDsg4ldZWU0lrgGjr+z9sLwJaU0h3ZppK6xciU0gsA+a+HZZxH6i5XArdlHULqKhFxIbA2pfT7rLN0B0th31AGTAf+I6V0IrAdbzlSAck/V3URMAkYAwyIiHdnm0qSdCgi4lNAK3BD1lmkrhAR/YFPAf+UdZbuYinsG9YAa1JKD+Xf30JHSZQKxTnAipTShpRSC/AToC7jTFJ3eDEiRgPkv67POI/UpSLiCuCtwOXJybBVOGrp+B/Xv4+I5+i4NXpJRIzKNFUXshT2ASmldcDqiDgyv+hs4A8ZRpK62irglIjoHxFBxznuYEoqRD8Hrsi/vgK4NcMsUpeKiPOAfwQuTCntyDqP1FVSSstSSoellA5PKR1OxwWb6fnf0QuCpbDv+FvghohYCkwD/jXjPFKXyV8FvwVYAiyj48+m72YaSnqNIuJG4AHgyIhYExFzgC8Db4qIp+kYwe7LWWaUDtU+zu9vAoOAOyPisYj4dqYhpUO0j/O7oIVX9iVJkiSpeHmlUJIkSZKKmKVQkiRJkoqYpVCSJEmSipilUJIkSZKKmKVQkiRJkoqYpVCS1CtFxPD8sPaPRcS6iFjb6X1F1vn2JiKu7O7JjCNifkScvNuyL3b6+TwdEf8VEUd1Zw5JUuGwFEqSeqWU0saU0rSU0jTg28DXX3mfUmrOKldElO5n9ZXAQZXCiCg7yAg54JG9LJ+X/9lMoWPez7sjYvhBHluSVIQshZKkPiciroiIh/NXxr4VESURURYRmyNiXkQsiYjbI+LkiLg3Ip6NiLfk970qIn6aX//HiPj0AR73ixHxMDAzIj4fEY9ExOMR8e3ocCkwDbj5lauZ+UmPq/PHPiUifp1//cWI+E5E3Alcl/8eX8t/76URcdU+PvfxwBMppfb9/XxSSjcCdwOX5fc7Kf9zWBwRt0XEyE6ZlkbEovzP7bHX+K9GktQHWQolSX1KRBwH/AVQl7+KWEa+/ABDgDtSStOBZuBzwNnALOCfOx1mZn6f6cC7ImLaARx3SUppZkrpAeAbKaWTgOPz685LKd0MPAZceoBXM08E3pZSeg/wfmB9SmkmcBLw4YiYsJd9zgd+9eo/JQCWAEdFRCXwDeAdKaUZwA+BL+S3uQ64KqVUB8QBHleSVGAO9pYVSZKydg4dxak+IgCqgNX5dY0ppTvzr5cBW1JKrRGxDDi80zFuTym9BBARPwNOpePvxH0dtxn4aaf9z46IuUA/oAZYDNx2kJ/j1pTSzvzrNwNHR0TnEjoFWLXbPucC7zrA479S8o4GjgV+nf9cpcCaiKgBKlJKD+e3+xEdP1tJUpGxFEqS+poArk0pfebPFnY8m9f56lw70NTpdee/89Jux0yvctzGlFLKv+8PfBOYnlJaGxFfpKMc7k0r/3tXzu7bbN/tM30opXTXPo5DRAwEqlJKL+5rm92cCNyXP/bSlNJpux1vxAEeR5JU4Lx9VJLU1/waeGf+Stcro5Tu7VbL/XlzRFTnC95FwP0HcdwqOkpmQ0QMAt7Rad1WYFCn988BM/KvO2+3u9uBD70y6ExEHBkRVbttczbwmwP5cBHxTuCNwM3AH4CxETEzv64iIo5NKW0AWiIil9/tsr0fTZJU6LxSKEnqU1JKyyLi83TcDlkCtAB/DTx/EIe5j47bJWuBH6SUHgM4kOOmlDZGxPXA48BK4KFOq68DvhcRjXQ8t/g54D8jYh3wMPv2HWAC8Fj+Fs/1dJTVzs6n43nAfZkbEbOBAXTcOvvGlNLG/Oe6BPi3fIktA74KPEHHaKnXRcRW4LfAlv0cX5JUoCJ/N4wkSUUhP7LncSmlj2Wd5WDkRwbNpZRau/CYA1NK2/KvPwUMSyn9fVcdX5LUN3ilUJKkPiA/ImpXuzAiPkHH7wPPAbO74XtIkno5rxRKkiRJUhFzoBlJkiRJKmKWQkmSJEkqYpZCSZIkSSpilkJJkiRJKmKWQkmSJEkqYv8fPLnRZk5CPKsAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 1080x504 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x504 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Plot Temperature profile\n",
"fig, ax = plt.subplots(figsize=(15,7))\n",
"\n",
"for label, df_sub in profile_data_argo.groupby('properties.juld'):\n",
" df_sub.plot(x='properties.temp_adjusted', \n",
" y='properties.pres_adjusted',\n",
" title='Temperature profile of Argo float',\n",
" linestyle='dashed',marker='D', ax=ax, label=label).invert_yaxis()\n",
"\n",
"ax.set_ylabel('Pressure')\n",
"ax.set_xlabel('Temperature / Deg')\n",
"\n",
"# TS diagram \n",
"fig2, ax2 = plt.subplots(figsize=(15,7))\n",
"profile_data_argo.plot.scatter(x='properties.psal_adjusted', \n",
" y='properties.temp_adjusted', \n",
" c='properties.pres_adjusted', \n",
" title='Temperature Salinity Diagram of Argo float',\n",
" marker='+', linestyle=\"None\", ax=ax2,\n",
" cmap='RdYlBu_r')\n",
"\n",
"\n",
"ax2.set_xlabel('Salinity / PSU')\n",
"ax2.set_ylabel('Temperature / Deg')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"No thermocline, water well mixed. eddy or something. "
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
@ocehugo
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ocehugo commented Jul 1, 2019

FYI: The thermocline is there, what you mean I think is the deeper surface mixed layer. By the position -39 south, this is expected since it's winter

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