diff --git a/jupyterbook/content/code_gallery/data_access_notebooks/2016-10-12-fetching_data.ipynb b/jupyterbook/content/code_gallery/data_access_notebooks/2016-10-12-fetching_data.ipynb index 947f9649..7ffcb595 100644 --- a/jupyterbook/content/code_gallery/data_access_notebooks/2016-10-12-fetching_data.ipynb +++ b/jupyterbook/content/code_gallery/data_access_notebooks/2016-10-12-fetching_data.ipynb @@ -4,752 +4,632 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Fetching data from CO-OPS SOS with Python tools\n", + "# Fetching data from CO-OPS ERDDAP with Python tools\n", "\n", "Created: 2016-10-12\n", "\n", - "Updated: 2022-05-25" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "[Pyoos](https://github.com/ioos/pyoos) is a high level data collection library for met/ocean data publicly available through many different websites and webservices.\n", + "Updated: 2022-05-26\n", "\n", - "In this post we will use `pyoos` to find\n", - "and download data from the [Center for Operational Oceanographic Products and Services (CO-OPS)](http://opendap.co-ops.nos.noaa.gov/ioos-dif-sos/) using OGC's SOS.\n", + "In this post we will use `erddapy` to find and download data from the\n", + "[Center for Operational Oceanographic Products and Services (CO-OPS)](https://opendap.co-ops.nos.noaa.gov/erddap/) ERDDAP server.\n", "\n", - "\n", - "- OGC: [Open Geospatial Consortium](http://www.opengeospatial.org/)\n", - "- SOS: [Sensor Observation Service](http://www.opengeospatial.org/standards/sos)\n", - "\n", - "First we have to define a time span.\n", - "Here we will fetch data during the [hurricane Matthew](https://en.wikipedia.org/wiki/Hurricane_Matthew) passage over the southeast states from 2016-10-05 to 2016-10-12." + "Here we will fetch data during the [hurricane Matthew](https://en.wikipedia.org/wiki/Hurricane_Matthew) passage over the southeast states from 2016-10-05 to 2016-10-12. The first step is to instantiate the server object and then add the constraints for our query." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { - "collapsed": true, "jupyter": { "outputs_hidden": true } }, "outputs": [], "source": [ - "from datetime import datetime, timedelta\n", + "from erddapy import ERDDAP\n", "\n", - "event_date = datetime(2016, 10, 9)\n", "\n", - "start_time = event_date - timedelta(days=4)\n", - "end_time = event_date + timedelta(days=3)" + "e = ERDDAP(\n", + " server=\"https://opendap.co-ops.nos.noaa.gov/erddap\",\n", + " protocol=\"tabledap\",\n", + ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The geographical bounding box includes all the states in the [SECOORA](http://secoora.org/) region: Florida, Georgia, South and North Carolina.\n", - "\n", - "The variable of choice is sea level and we will convert any elevation units to `meters`." + "The geographical bounding box includes all the states in the [SECOORA](http://secoora.org/) region: Florida, Georgia, South and North Carolina. " ] }, { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true - } - }, + "metadata": {}, "outputs": [], "source": [ - "import cf_units\n", + "min_lat, max_lat = 24.25, 36.70\n", + "min_lon, max_lon = -87.40, -74.70" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import folium\n", + "\n", "\n", - "units = cf_units.Unit(\"meters\")\n", + "lon = (min_lon + max_lon) / 2\n", + "lat = (min_lat + max_lat) / 2\n", "\n", - "bbox = [-87.40, 24.25, -74.70, 36.70]\n", + "m = folium.Map(location=[lat, lon], tiles=\"OpenStreetMap\", zoom_start=5)\n", + "\n", + "folium.Polygon([(min_lat,min_lon), (max_lat,min_lon), (max_lat,max_lon), (min_lat,max_lon)],\n", + " fill=True).add_to(m)\n", "\n", - "sos_name = \"water_surface_height_above_reference_datum\"" + "m" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In this example we will use only the `CoopsSos`,\n", - "but it is worth mentioning that `pyoos` has other collectors like IOOS SWE,\n", - "NcSOS, 52N, NERRS, NDBC, etc.\n", - "\n", - "Pyoos' usage is quite simple, all we have to do is:\n", - "\n", - "- create an instance of the collector we will use and,\n", - "- feed the instance with the data for the collection." + "Unfortunately, as you'll notice below, adding the bounding box as a constraint won't help because this ERDDAP server requires the `STATION_ID` number as a mandatory argument for the request. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So, this means we need to know them before making the request and we cannot get them from the server." ] }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true - } - }, + "execution_count": 4, + "metadata": {}, "outputs": [], "source": [ - "from pyoos.collectors.coops.coops_sos import CoopsSos\n", + "e.constraints = {\n", + " \"BEGIN_DATE=\": \"2016-10-04\",\n", + " \"END_DATE=\": \"2016-10-12\",\n", + " \"DATUM=\": \"MSL\",\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can check all the `dataset_id` that are available within those constraints with the search URL." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 allDatasets\n", + "1 IOOS_Air_Gap\n", + "2 IOOS_Raw_Currents_Header\n", + "3 IOOS_Raw_Currents\n", + "4 IOOS_Air_Temperature\n", + "5 IOOS_Barometric_Pressure\n", + "6 IOOS_Conductivity\n", + "7 IOOS_Relative_Humidity\n", + "8 IOOS_Visibility\n", + "9 IOOS_Water_Temperature\n", + "10 IOOS_Wind\n", + "11 IOOS_Raw_One_Min_Water_Level\n", + "12 IOOS_Raw_Water_Level\n", + "13 IOOS_Daily_Verified_Water_Level\n", + "14 IOOS_High_Low_Verified_Water_Level\n", + "15 IOOS_Hourly_Height_Verified_Water_Level\n", + "16 IOOS_Monthly_Verified_Water_Level\n", + "17 IOOS_SixMin_Verified_Water_Level\n", + "Name: Dataset ID, dtype: object" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", "\n", - "collector = CoopsSos()\n", "\n", - "collector.set_bbox(bbox)\n", - "collector.end_time = end_time\n", - "collector.start_time = start_time\n", - "collector.variables = [sos_name]" + "df = pd.read_csv(e.get_search_url(response=\"csv\"))\n", + "df[\"Dataset ID\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Let's check we we got with the search above." + "We want the `dataset_id` = `IOOS_Hourly_Height_Verified_Water_Level` to check the hourly sea surface height time-series. However, we still do not know the actual variable name. Unfortunately, the [Climate and Forecast conventions (CF)](https://cfconventions.org/) do not define the **variable names** but it does define some variable metadata attributes like `standard_name`, making it easy to check what is in a dataset. The data we are looking for should be associated with the CF `standard_name` = [`water_surface_height_above_reference_datum`](https://cfconventions.org/Data/cf-standard-names/current/build/cf-standard-name-table.html).\n", + "\n", + "In `erddapy` one can query the available variables for a standard name with the method `get_var_by_attr`." ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Collector offerings\n", - "NOAA.NOS.CO-OPS SOS: 1188 offerings\n" + "Found WL_VALUE variable(s) in the dataset.\n" ] } ], "source": [ - "ofrs = collector.server.offerings\n", - "title = collector.server.identification.title\n", + "dataset_id = \"IOOS_Hourly_Height_Verified_Water_Level\"\n", + "std_name = \"water_surface_height_above_reference_datum\"\n", + "\n", + "e.dataset_id = dataset_id\n", "\n", - "print(\"Collector offerings\")\n", - "print(\"{}: {} offerings\".format(title, len(ofrs)))" + "variables = e.get_var_by_attr(\n", + " standard_name=std_name\n", + ")\n", + "\n", + "print(f\"Found {','.join(variables)} variable(s) in the dataset.\")\n", + "\n", + "\n", + "variables.extend([\"time\"]) # we also want to download the time.\n", + "e.variables = variables" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "OK... That is quite misleading. We did not find 1113 stations with that search.\n", - "\n", - "That number is probably all the CO-OPS SOS stations available.\n", - "\n", - "In order to find out what we really get from that search we need to download the data. In the next two cells we will use a custom function to go from the collector object to a list of observations and a pandas `DataFrame` with all the data.\n", + "We found 1 variable, which makes our job easier, and now we can query the data for it.\n", "\n", - "(Check the code for [`collector2table`](http://bit.ly/2eiUozm) for the implementation details.)" + "Now we need to get a list of stations that are within our bounding box.\n", + "If we look the `STATION_ID` metadata we see a link to a page with the stations and their sensors listing." ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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depthlatlonsensorstation_code
station_nameRow TypeVariable NameAttribute NameData TypeValue
Duck, NCNone36.1833-75.7467urn:ioos:sensor:NOAA.NOS.CO-OPS:8651370:A18651370
Oregon Inlet Marina, NCNone35.7950-75.5481urn:ioos:sensor:NOAA.NOS.CO-OPS:8652587:A18652587
USCG Station Hatteras, NCNone35.2086-75.7042urn:ioos:sensor:NOAA.NOS.CO-OPS:8654467:A18654467
Beaufort, NCNone34.7200-76.6700urn:ioos:sensor:NOAA.NOS.CO-OPS:8656483:A18656483
Wilmington, NCNone34.2275-77.9536urn:ioos:sensor:NOAA.NOS.CO-OPS:8658120:B18658120
Wrightsville Beach, NCNone34.2133-77.7867urn:ioos:sensor:NOAA.NOS.CO-OPS:8658163:A18658163
Springmaid Pier, SCNone33.6550-78.9183urn:ioos:sensor:NOAA.NOS.CO-OPS:8661070:Y18661070
Oyster Landing (N Inlet Estuary), SCNone33.3517-79.1867urn:ioos:sensor:NOAA.NOS.CO-OPS:8662245:A18662245
Charleston, Cooper River Entrance, SCNone32.7808-79.9236urn:ioos:sensor:NOAA.NOS.CO-OPS:8665530:A18665530
Fort Pulaski, GANone32.0367-80.9017urn:ioos:sensor:NOAA.NOS.CO-OPS:8670870:A18670870
Fernandina Beach, FLNone30.6714-81.4658urn:ioos:sensor:NOAA.NOS.CO-OPS:8720030:Y1872003015variableSTATION_IDNaNStringNaN
Mayport (Bar Pilots Dock), FLNone30.3982-81.4279urn:ioos:sensor:NOAA.NOS.CO-OPS:8720218:A1872021816attributeSTATION_IDcf_roleStringtimeseries_id
Dames Point, FLNone30.3872-81.5592urn:ioos:sensor:NOAA.NOS.CO-OPS:8720219:A1872021917attributeSTATION_IDcommentStringTo view the station id listing go to: https://...
Southbank Riverwalk, St Johns River, FLNone30.3205-81.6591urn:ioos:sensor:NOAA.NOS.CO-OPS:8720226:B1872022618attributeSTATION_IDioos_categoryStringIdentifier
Racy Point, St Johns River, FLNone29.8002-81.5498urn:ioos:sensor:NOAA.NOS.CO-OPS:8720625:A18720625
Trident Pier, Port Canaveral, FLNone28.4158-80.5931urn:ioos:sensor:NOAA.NOS.CO-OPS:8721604:A18721604
Lake Worth Pier, Atlantic Ocean, FLNone26.6128-80.0342urn:ioos:sensor:NOAA.NOS.CO-OPS:8722670:N18722670
Virginia Key, Biscayne Bay, FLNone25.7317-80.1617urn:ioos:sensor:NOAA.NOS.CO-OPS:8723214:A18723214
Vaca Key, Florida Bay, FLNone24.7110-81.1065urn:ioos:sensor:NOAA.NOS.CO-OPS:8723970:A18723970
Key West, FLNone24.5557-81.8079urn:ioos:sensor:NOAA.NOS.CO-OPS:8724580:A18724580
Naples, Gulf of Mexico, FLNone26.1317-81.8075urn:ioos:sensor:NOAA.NOS.CO-OPS:8725110:A18725110
Fort Myers, Caloosahatchee River, FLNone26.6480-81.8710urn:ioos:sensor:NOAA.NOS.CO-OPS:8725520:B18725520
Port Manatee, FLNone27.6383-82.5625urn:ioos:sensor:NOAA.NOS.CO-OPS:8726384:A18726384
St Petersburg, Tampa Bay, FLNone27.7606-82.6269urn:ioos:sensor:NOAA.NOS.CO-OPS:8726520:Y18726520
Old Port Tampa, FLNone27.8578-82.5528urn:ioos:sensor:NOAA.NOS.CO-OPS:8726607:A18726607
Mckay Bay Entrance, FLNone27.9130-82.4250urn:ioos:sensor:NOAA.NOS.CO-OPS:8726667:A18726667
Clearwater Beach, FLNone27.9783-82.8317urn:ioos:sensor:NOAA.NOS.CO-OPS:8726724:A18726724
Cedar Key, FLNone29.1336-83.0309urn:ioos:sensor:NOAA.NOS.CO-OPS:8727520:A18727520
Apalachicola, FLNone29.7244-84.9806urn:ioos:sensor:NOAA.NOS.CO-OPS:8728690:A18728690
Panama City, FLNone30.1523-85.7000urn:ioos:sensor:NOAA.NOS.CO-OPS:8729108:A18729108
Panama City Beach, FLNone30.2133-85.8783urn:ioos:sensor:NOAA.NOS.CO-OPS:8729210:A18729210
Pensacola, FLNone30.4044-87.2100urn:ioos:sensor:NOAA.NOS.CO-OPS:8729840:A1872984019attributeSTATION_IDlong_nameStringREQUIRED 7-character Station ID surrounded in ...
\n", "
" ], "text/plain": [ - " depth lat lon \\\n", - "station_name \n", - "Duck, NC None 36.1833 -75.7467 \n", - "Oregon Inlet Marina, NC None 35.7950 -75.5481 \n", - "USCG Station Hatteras, NC None 35.2086 -75.7042 \n", - "Beaufort, NC None 34.7200 -76.6700 \n", - "Wilmington, NC None 34.2275 -77.9536 \n", - "Wrightsville Beach, NC None 34.2133 -77.7867 \n", - "Springmaid Pier, SC None 33.6550 -78.9183 \n", - "Oyster Landing (N Inlet Estuary), SC None 33.3517 -79.1867 \n", - "Charleston, Cooper River Entrance, SC None 32.7808 -79.9236 \n", - "Fort Pulaski, GA None 32.0367 -80.9017 \n", - "Fernandina Beach, FL None 30.6714 -81.4658 \n", - "Mayport (Bar Pilots Dock), FL None 30.3982 -81.4279 \n", - "Dames Point, FL None 30.3872 -81.5592 \n", - "Southbank Riverwalk, St Johns River, FL None 30.3205 -81.6591 \n", - "Racy Point, St Johns River, FL None 29.8002 -81.5498 \n", - "Trident Pier, Port Canaveral, FL None 28.4158 -80.5931 \n", - "Lake Worth Pier, Atlantic Ocean, FL None 26.6128 -80.0342 \n", - "Virginia Key, Biscayne Bay, FL None 25.7317 -80.1617 \n", - "Vaca Key, Florida Bay, FL None 24.7110 -81.1065 \n", - "Key West, FL None 24.5557 -81.8079 \n", - "Naples, Gulf of Mexico, FL None 26.1317 -81.8075 \n", - "Fort Myers, Caloosahatchee River, FL None 26.6480 -81.8710 \n", - "Port Manatee, FL None 27.6383 -82.5625 \n", - "St Petersburg, Tampa Bay, FL None 27.7606 -82.6269 \n", - "Old Port Tampa, FL None 27.8578 -82.5528 \n", - "Mckay Bay Entrance, FL None 27.9130 -82.4250 \n", - "Clearwater Beach, FL None 27.9783 -82.8317 \n", - "Cedar Key, FL None 29.1336 -83.0309 \n", - "Apalachicola, FL None 29.7244 -84.9806 \n", - "Panama City, FL None 30.1523 -85.7000 \n", - "Panama City Beach, FL None 30.2133 -85.8783 \n", - "Pensacola, FL None 30.4044 -87.2100 \n", - "\n", - " sensor \\\n", - "station_name \n", - "Duck, NC urn:ioos:sensor:NOAA.NOS.CO-OPS:8651370:A1 \n", - "Oregon Inlet Marina, NC urn:ioos:sensor:NOAA.NOS.CO-OPS:8652587:A1 \n", - "USCG Station Hatteras, NC urn:ioos:sensor:NOAA.NOS.CO-OPS:8654467:A1 \n", - "Beaufort, NC urn:ioos:sensor:NOAA.NOS.CO-OPS:8656483:A1 \n", - "Wilmington, NC urn:ioos:sensor:NOAA.NOS.CO-OPS:8658120:B1 \n", - "Wrightsville Beach, NC urn:ioos:sensor:NOAA.NOS.CO-OPS:8658163:A1 \n", - "Springmaid Pier, SC urn:ioos:sensor:NOAA.NOS.CO-OPS:8661070:Y1 \n", - "Oyster Landing (N Inlet Estuary), SC urn:ioos:sensor:NOAA.NOS.CO-OPS:8662245:A1 \n", - "Charleston, Cooper River Entrance, SC urn:ioos:sensor:NOAA.NOS.CO-OPS:8665530:A1 \n", - "Fort Pulaski, GA urn:ioos:sensor:NOAA.NOS.CO-OPS:8670870:A1 \n", - "Fernandina Beach, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8720030:Y1 \n", - "Mayport (Bar Pilots Dock), FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8720218:A1 \n", - "Dames Point, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8720219:A1 \n", - "Southbank Riverwalk, St Johns River, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8720226:B1 \n", - "Racy Point, St Johns River, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8720625:A1 \n", - "Trident Pier, Port Canaveral, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8721604:A1 \n", - "Lake Worth Pier, Atlantic Ocean, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8722670:N1 \n", - "Virginia Key, Biscayne Bay, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8723214:A1 \n", - "Vaca Key, Florida Bay, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8723970:A1 \n", - "Key West, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8724580:A1 \n", - "Naples, Gulf of Mexico, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8725110:A1 \n", - "Fort Myers, Caloosahatchee River, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8725520:B1 \n", - "Port Manatee, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8726384:A1 \n", - "St Petersburg, Tampa Bay, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8726520:Y1 \n", - "Old Port Tampa, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8726607:A1 \n", - "Mckay Bay Entrance, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8726667:A1 \n", - "Clearwater Beach, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8726724:A1 \n", - "Cedar Key, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8727520:A1 \n", - "Apalachicola, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8728690:A1 \n", - "Panama City, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8729108:A1 \n", - "Panama City Beach, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8729210:A1 \n", - "Pensacola, FL urn:ioos:sensor:NOAA.NOS.CO-OPS:8729840:A1 \n", - "\n", - " station_code \n", - "station_name \n", - "Duck, NC 8651370 \n", - "Oregon Inlet Marina, NC 8652587 \n", - "USCG Station Hatteras, NC 8654467 \n", - "Beaufort, NC 8656483 \n", - "Wilmington, NC 8658120 \n", - "Wrightsville Beach, NC 8658163 \n", - "Springmaid Pier, SC 8661070 \n", - "Oyster Landing (N Inlet Estuary), SC 8662245 \n", - "Charleston, Cooper River Entrance, SC 8665530 \n", - "Fort Pulaski, GA 8670870 \n", - "Fernandina Beach, FL 8720030 \n", - "Mayport (Bar Pilots Dock), FL 8720218 \n", - "Dames Point, FL 8720219 \n", - "Southbank Riverwalk, St Johns River, FL 8720226 \n", - "Racy Point, St Johns River, FL 8720625 \n", - "Trident Pier, Port Canaveral, FL 8721604 \n", - "Lake Worth Pier, Atlantic Ocean, FL 8722670 \n", - "Virginia Key, Biscayne Bay, FL 8723214 \n", - "Vaca Key, Florida Bay, FL 8723970 \n", - "Key West, FL 8724580 \n", - "Naples, Gulf of Mexico, FL 8725110 \n", - "Fort Myers, Caloosahatchee River, FL 8725520 \n", - "Port Manatee, FL 8726384 \n", - "St Petersburg, Tampa Bay, FL 8726520 \n", - "Old Port Tampa, FL 8726607 \n", - "Mckay Bay Entrance, FL 8726667 \n", - "Clearwater Beach, FL 8726724 \n", - "Cedar Key, FL 8727520 \n", - "Apalachicola, FL 8728690 \n", - "Panama City, FL 8729108 \n", - "Panama City Beach, FL 8729210 \n", - "Pensacola, FL 8729840 " + " Row Type Variable Name Attribute Name Data Type \\\n", + "15 variable STATION_ID NaN String \n", + "16 attribute STATION_ID cf_role String \n", + "17 attribute STATION_ID comment String \n", + "18 attribute STATION_ID ioos_category String \n", + "19 attribute STATION_ID long_name String \n", + "\n", + " Value \n", + "15 NaN \n", + "16 timeseries_id \n", + "17 To view the station id listing go to: https://... \n", + "18 Identifier \n", + "19 REQUIRED 7-character Station ID surrounded in ... " ] }, - "execution_count": 5, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "import pandas as pd\n", - "from ioos_tools.ioos import collector2table\n", - "\n", - "config = dict(units=units, sos_name=sos_name,)\n", - "\n", - "data = collector2table(\n", - " collector=collector,\n", - " config=config,\n", - " col=\"water_surface_height_above_reference_datum (m)\",\n", - ")\n", - "\n", - "# Clean the table.\n", - "table = dict(\n", - " station_name=[s._metadata.get(\"station_name\") for s in data],\n", - " station_code=[s._metadata.get(\"station_code\") for s in data],\n", - " sensor=[s._metadata.get(\"sensor\") for s in data],\n", - " lon=[s._metadata.get(\"lon\") for s in data],\n", - " lat=[s._metadata.get(\"lat\") for s in data],\n", - " depth=[s._metadata.get(\"depth\") for s in data],\n", - ")\n", + "info = pd.read_csv(e.get_info_url(response=\"csv\"))\n", + "station_id_info = info.loc[info[\"Variable Name\"] == \"STATION_ID\"]\n", "\n", - "table = pd.DataFrame(table).set_index(\"station_name\")\n", - "\n", - "table" + "station_id_info" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "To view the station id listing go to: https://opendap.co-ops.nos.noaa.gov/stations/index.jsp\n" + ] + } + ], + "source": [ + "print(station_id_info.loc[station_id_info[\"Attribute Name\"] == \"comment\"][\"Value\"].squeeze())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In the next cell we will re-sample all the observation from CO-OPS' original frequency (6 minutes) to 15 minutes to reduce the amount of data and hopefully some of the noise too." + "In that page we have the option to view stations information as XML (`stationsXML`).\n", + "Luckily we can easily parse the stationsXML file and filter out the stations we want." ] }, { "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true - } - }, + "execution_count": 9, + "metadata": {}, "outputs": [], "source": [ - "index = pd.date_range(\n", - " start=start_time.replace(tzinfo=None),\n", - " end=end_time.replace(tzinfo=None),\n", - " freq=\"15min\",\n", + "url = \"https://opendap.co-ops.nos.noaa.gov/stations/stationsXML.jsp\"\n", + "\n", + "\n", + "names = pd.read_xml(\n", + " url,\n", + " namespaces={\"xsi\": \"http://www.w3.org/2001/XMLSchema-instance\"},\n", + ")[[\"name\", \"ID\"]]\n", + "\n", + "\n", + "locations = pd.read_xml(\n", + " url,\n", + " xpath=\"//*[contains(name(),\\\"location\\\")]\"\n", ")\n", "\n", - "# Re-index and rename series.\n", - "observations = []\n", - "for series in data:\n", - " _metadata = series._metadata\n", - " series.index = series.index.tz_localize(None)\n", - " obs = series.reindex(index=index, limit=1, method=\"nearest\")\n", - " obs._metadata = _metadata\n", - " obs.name = _metadata[\"station_name\"]\n", - " observations.append(obs)" + "df = pd.concat([names, locations], axis=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can now check the station with the highest sea elevation." + "Now we can filter the stations that are inside our bounding box." ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 10, "metadata": {}, "outputs": [ { - "data": { - "image/png": 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WJWa82jaCKy2JqvzYEpi2VmSbzliM+puUUvZIKQ8H/u0BTgNlkT91vjgrnNKB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\nYwNffeg0nqlZPnbNWsvHCeayNbl4p2Y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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "We filtered out all stations but those from SC, GA, NC, FL states.\n" + ] } ], "source": [ - "%matplotlib inline\n", - "\n", - "df = pd.DataFrame(observations).T\n", + "mask = (\n", + " (df[\"lat\"] >= min_lat) &\n", + " (df[\"lat\"] <= max_lat) &\n", + " (df[\"long\"] >= min_lon) &\n", + " (df[\"long\"] <= max_lon)\n", + ")\n", "\n", - "station = df.max(axis=0).idxmax()\n", + "df = df[mask]\n", "\n", - "ax = df[station].plot(figsize=(7, 2.25))\n", - "title = ax.set_title(station)" + "print(f\"We filtered out all stations but those from {', '.join(filter(None, set(df['state'])))} states.\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Oops. That does not look right! The data are near-real time,\n", - "so some QA/QC may be needed before we move forward.\n", - "\n", - "We can filter spikes with a simple first difference rule.\n", - "\n", - "(Check the code for [`first_difference`](http://bit.ly/2fAtuos) for the implementation details.)" + "That looks correct. We want only the stations that are part of the [SECOORA region](https://secoora.org/)." ] }, { "cell_type": "code", - "execution_count": 8, - "metadata": {}, + "execution_count": 11, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, "outputs": [ { - "data": { - "image/png": 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lt5TyYOjfPuAkUBb9U+eKsyIpHejoKgFN/YklSkzPBjnQMhw1vXM+u6vzONrp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\nhUKhWJIoA6VQKBSKJcn/D5Vzl5KYBcPXAAAAAElFTkSuQmCC\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "Could not get data for Don Holt Bridge Air Gap id 8664753 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8664753\"\n", + "\n", + "Could not get data for Ravenel Bridge Air Gap id 8665353 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8665353\"\n", + "\n", + "Could not get data for Talmadge Memorial Bridge Air Gap id 8670674 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8670674\"\n", + "\n", + "Could not get data for Navy Fuel Depot id 8720215 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8720215\"\n", + "\n", + "Could not get data for Little Jetties Visibility id 8720228 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8720228\"\n", + "\n", + "Could not get data for Blount Island Command id 8720233 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8720233\"\n", + "\n", + "Could not get data for Jacksonville University id 8720245 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8720245\"\n", + "\n", + "Could not get data for Dames Point Bridge Air Gap id 8720376 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8720376\"\n", + "\n", + "Could not get data for South Port Everglades id 8722956 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8722956\"\n", + "\n", + "Could not get data for Sunshine Skyway Bridge Air Gap id 8726371 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8726371\"\n", + "\n", + "Could not get data for Middle Tampa Bay id 8726412 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8726412\"\n", + "\n", + "Could not get data for Gadsden Cut, Tampa Bay id 8726524 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8726524\"\n", + "\n", + "Could not get data for Sparkman Channel Entrance id 8726671 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8726671\"\n", + "\n", + "Could not get data for East Bay id 8726674 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8726674\"\n", + "\n", + "Could not get data for East Bay Causeway id 8726679 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8726679\"\n", + "\n", + "Could not get data for TPA Cruise Terminal 2 id 8726694 using the URL:\n", + "\n", + "https://opendap.co-ops.nos.noaa.gov/erddap/tabledap/IOOS_Hourly_Height_Verified_Water_Level.html?WL_VALUE,time&BEGIN_DATE=\"2016-10-04\"&END_DATE=\"2016-10-12\"&DATUM=\"MSL\"&STATION_ID=\"8726694\"\n", + "\n" + ] } ], "source": [ - "from ioos_tools.qaqc import first_difference\n", + "data = {}\n", "\n", - "mask = df.apply(first_difference, args=(0.99,))\n", + "for station_id in df[\"ID\"]:\n", + " e.constraints.update({\"STATION_ID=\": f\"{station_id}\"})\n", + " try:\n", + " series = e.to_pandas(index_col=\"time (UTC)\", parse_dates=True)\n", + " data.update({station_id: series})\n", + " except Exception:\n", + " missing = df.loc[df[\"ID\"] == station_id][[\"name\", \"ID\"]].squeeze().tolist()\n", + " print(\n", + " f\"Could not get data for {missing[0]} id {missing[1]} using the URL:\\n\\n\"\n", + " f\"{e.get_download_url()}\\n\"\n", + " )\n", + " pass\n", "\n", - "df = df[~mask].interpolate()\n", + "water_level = pd.concat(data, axis=1)\n", "\n", - "ax = df[station].plot(figsize=(7, 2.25))\n", - "title = ax.set_title(station)" + "# Remove the units and leave only the station number.\n", + "water_level.columns = [col[0] for col in water_level.columns]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "That is much better!\n", - "Now we can plot the station that actually registered the highest sea elevation." + "Many requests failed because we don't know if the data for that station exists in the date range we requested. That ERDDAP server is not configured to use what ERDDAP does best, high queries using the metadata.\n", + "\n", + "Now that we have the data we can, for example, check the station with the highest sea elevation." ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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lt5TyYOjfPuAkUBb9U+eKsyIpHejoKgFN/YklSkzPBjnQMhw1vXM+u6vzONrp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\nKRQKhcIQppIkhBDXA1+SUu6Z91o2cBZYAXwFuBG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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "station = df.max(axis=0).idxmax()\n", + "def get_station_name(station_id):\n", + " return df.loc[df[\"ID\"] == station_id][\"name\"].squeeze()\n", + "\n", "\n", - "ax = df[station].plot(figsize=(7, 2.25))\n", - "title = ax.set_title(station)" + "station_id = water_level.max(axis=0).idxmax()\n", + "\n", + "ax = water_level[station_id].plot(figsize=(7, 2.25))\n", + "title = ax.set_title(get_station_name(station_id))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Let's plot the last 5 stations, from North Carolina, so we can compare with Fort Pulaski, GA." + "Let's plot the stations from North Carolina so we can compare with Fort Pulaski, GA." ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { - "image/png": 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1p82eV7IjpZjqBh0zo/063NOwl7cT3y8eip1ayZqTeRa9y918ppBfzhUxINCV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Be/giAI5zgRCJrhqquu4eqr55KYOJIxY8Yxc+YsHBwcyMnJYuHCRe3+TE5ONgMHxvX4/IGBA5gz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\n3pyJp5Mdj06LOaMW0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lge6ePCnCEBVDa1sCXT/Kexzhwtrue71lXNN43p+aibTCbj8ekx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tMdmgoKAAZ2fnlvdM1OrMmVOsXr0SULC0tGLevAUP5b4dOlg+UAQKIYQQon1rsBD08/MjOzub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\nAABJRU5ErkJggg==\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -760,12 +640,16 @@ "import matplotlib\n", "import matplotlib.pyplot as plt\n", "\n", + "\n", + "station_ids = df.loc[df[\"state\"] == \"NC\"][\"ID\"]\n", + "\n", "with matplotlib.style.context([\"seaborn-notebook\", \"seaborn-darkgrid\"]):\n", - " fix, axes = plt.subplots(nrows=5, sharex=True, sharey=True, figsize=(11, 2.25 * 5))\n", + " fix, axes = plt.subplots(nrows=len(station_ids), sharex=True, sharey=True, figsize=(11, 2.25 * 5))\n", "\n", - " for k, obs in enumerate(observations[:5]):\n", - " axes[k].plot(obs.index, obs.values)\n", - " axes[k].text(obs.index[20], 0, obs._metadata[\"station_name\"])" + " for k, station_id in enumerate(station_ids):\n", + " series = water_level[station_id]\n", + " series.plot(ax=axes[k])\n", + " axes[k].text(series.index[20], 1.5, get_station_name(station_id))" ] }, { @@ -781,9 +665,8 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, "metadata": { - "collapsed": true, "jupyter": { "outputs_hidden": true } @@ -807,7 +690,7 @@ " width=width,\n", " height=height,\n", " tools=tools,\n", - " title=series.name,\n", + " title=f\"{get_station_name(series.name)} ({series.name})\",\n", " )\n", " line = p.line(\n", " x=series.index,\n", @@ -831,36 +714,870 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
" + "
Make this Notebook Trusted to load map: File -> Trust Notebook
" ], "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "import folium\n", - "\n", - "lon = (bbox[0] + bbox[2]) / 2\n", - "lat = (bbox[1] + bbox[3]) / 2\n", + "lon = (min_lon + max_lon) / 2\n", + "lat = (min_lat + max_lat) / 2\n", "\n", "m = folium.Map(location=[lat, lon], tiles=\"OpenStreetMap\", zoom_start=5)\n", "\n", - "for obs in observations:\n", - " fname = obs._metadata[\"station_code\"]\n", - " location = obs._metadata[\"lat\"], obs._metadata[\"lon\"]\n", - " p, _ = make_plot(obs)\n", - " marker = make_marker(p, location=location, fname=fname)\n", + "for station_id, series in water_level.iteritems():\n", + " location = df.loc[df[\"ID\"] == station_id][[\"lat\", \"long\"]].squeeze().tolist()\n", + " p, _ = make_plot(series)\n", + " marker = make_marker(p, location=location, fname=station_id)\n", " marker.add_to(m)\n", "\n", "m"