ERDDAP ERDDAPY: Difference between revisions

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we also specify the '''response''' attribute in our ERDDAP instance.
we also specify the '''response''' attribute in our ERDDAP instance.


; response : specifies the type of table data file that you want to download (default **html**)
; response : specifies the type of table data file that you want to download (default ''html''). There are many '''response''' available, see the docs for [https://erddap.icos-cp.eu/erddap/griddap/documentation.html griddap] and [https://erddap.icos-cp.eu/erddap/tabledap/documentation.html tabledap] respectively.


  # show all datasets
  # show all datasets
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== access to the list of datasets by type (grid, tabular,..) ==
== access to the list of datasets by type (grid, tabular,..) ==
Here we use the '''get_search_url''' method, we also specify the '''response''' and '''protocol''' attributes in our ERDDAP instance

Revision as of 13:44, 19 January 2022

How to use erddapy

instantiate the ERDDAP server

First of all, we need to instantiate the ERDDAP URL constructor for a server.

server
an ERDDAP server URL or an acronym for one of the builtin servers.


from erddapy import ERDDAP
import pandas as pd
e = ERDDAP(server="https://erddap.bcdc.no/erddap")

Let’s explore the methods and attributes available in the ERDDAP object
Note: All the methods prefixed with get_ will return a valid ERDDAP URL for the requested response and options.

[method for method in dir(e) if not method.startswith("_")]

['auth', 'constraints', 'dataset_id', 'get_categorize_url', 'get_download_url', 'get_info_url', 'get_search_url', 'get_var_by_attr', 'protocol', 'relative_constraints', 'requests_kwargs', 'response', 'server', 'server_functions', 'to_iris', 'to_ncCF', 'to_pandas', 'to_xarray', 'variables']

help(e.get_search_url)
Help on method get_search_url in module erddapy.erddapy:
get_search_url(response: Union[str, NoneType] = None, search_for: Union[str, NoneType] = None, protocol: Union[str, NoneType] = None, items_per_page: int = 1000, page: int = 1, **kwargs) -> str method of erddapy.erddapy.ERDDAP instance
The search URL for the `server` endpoint provided.
Args:
search_for: "Google-like" search of the datasets' metadata.
- Type the words you want to search for, with spaces between the words.
ERDDAP will search for the words separately, not as a phrase.
- To search for a phrase, put double quotes around the phrase (for example, `"wind speed"`).
- To exclude datasets with a specific word, use `-excludedWord`.
- To exclude datasets with a specific phrase, use `-"excluded phrase"`
- Searches are not case-sensitive.
- You can search for any part of a word. For example, searching for `spee` will find datasets with `speed` and datasets with `WindSpeed`
- The last word in a phrase may be a partial word. For example, to find datasets from a specific website (usually the start of the datasetID), include (for example) `"datasetID=erd"` in your search.
response: default is HTML.
items_per_page: how many items per page in the return, default is 1000.
page: which page to display, default is the first page (1).
kwargs: extra search constraints based on metadata and/or coordinates ke/value.
metadata: `cdm_data_type`, `institution`, `ioos_category`, `keywords`, `long_name`, `standard_name`, and `variableName`.
coordinates: `minLon`, `maxLon`, `minLat`, `maxLat`, `minTime`, and `maxTime`.
Returns:
url: the search URL.

access to the list of all datasets available through this ERDDAP server

Here we use the get_search_url method

# show all datasets
url = e.get_search_url()
print(url)

https://erddap.icos-cp.eu/erddap/search/advanced.html?page=1&itemsPerPage=1000&protocol=(ANY)&cdm_data_type=(ANY)&institution=(ANY)&ioos_category=(ANY)&keywords=(ANY)&long_name=(ANY)&standard_name=(ANY)&variableName=(ANY)&minLon=(ANY)&maxLon=(ANY)&minLat=(ANY)&maxLat=(ANY)

we also specify the response attribute in our ERDDAP instance.

response
specifies the type of table data file that you want to download (default html). There are many response available, see the docs for griddap and tabledap respectively.
# show all datasets
e.response='csv'
url = e.get_search_url(search_for="all")
df = pd.read_csv(url)
df[['griddap','tabledap','Dataset ID']].head()
griddap tabledap Dataset ID
0 NaN https://erddap.icos-cp.eu/erddap/tabledap/allD... allDatasets
1 NaN https://erddap.icos-cp.eu/erddap/tabledap/icos... icos26na20170409SocatEnhanced
2 NaN https://erddap.icos-cp.eu/erddap/tabledap/icos... icos26na20170421SocatEnhanced
3 NaN https://erddap.icos-cp.eu/erddap/tabledap/icos... icos26na20170430SocatEnhanced
4 NaN https://erddap.icos-cp.eu/erddap/tabledap/icos... icos26na20170511SocatEnhanced


access to the list of datasets by type (grid, tabular,..)

Here we use the get_search_url method, we also specify the response and protocol attributes in our ERDDAP instance