High and Low ocean water levels, at the La Jolla station, from year 2000 to present.
tidesandcurrents.noaa.gov-water_levels-la_jolla-1
Resources | Packages | Documentation| Contacts| References
Resources
- water_levels. High and Low Ocean water levels for the La Jolla station.
Documentation
Access URls
To get the access URLs, visit the web tool page and click on the “Show Data Listing” button. This will display a table. On the right side of the table, click the button “Web Services”. This will pop up a dialog with URLs. On the line for “Water Levels” right click on the “CSV” badge and copy the URL.
Documentation Links
- https://tidesandcurrents.noaa.gov/waterlevels.html?id=9410230&bdate=20180628&edate=20180630&interval=hlWeb tool for exploring water level data
Images
- http://library.metatab.org/tidesandcurrents.noaa.gov-water_levels-la_jolla-1/docs/water_levels.png
- Wrangler
- zip http://library.metatab.org/tidesandcurrents.noaa.gov-water_levels-la_jolla-1.zip
- csv http://library.metatab.org/tidesandcurrents.noaa.gov-water_levels-la_jolla-1.csv
- source https://github.com/san-diego-water-quality/water-datasets.git
Contacts
Packages
Accessing Packages in Metapack
import metapack as mp
# ZIP Package
pkg = mp.open_package('http://library.metatab.org/tidesandcurrents.noaa.gov-water_levels-la_jolla-1.zip')
# CSV Package
pkg = mp.open_package('http://library.metatab.org/tidesandcurrents.noaa.gov-water_levels-la_jolla-1.csv')
resource = pkg.resource('resource_name') # Get a resource
df = resource.dataframe() # Create a pandas Dataframe
gdf = resource.geoframe() # Create a GeoPandas GeoDataFrame
References
Urls used in the creation of this data package.
Last Modified 2018-08-09T15:00:12