argopy.stores.indexstore

class indexstore(cache: bool = False, cachedir: str = '', index_file: str = 'ar_index_global_prof.txt', **kw)

” Use to manage access to a local Argo index and searches

__init__(cache: bool = False, cachedir: str = '', index_file: str = 'ar_index_global_prof.txt', **kw)

Create a file storage system for Argo index file requests

Parameters:

cache : bool (False)

cachedir : str (used value in global OPTIONS)

index_file: str (“ar_index_global_prof.txt”)

Methods

__init__(cache, cachedir, index_file, **kw)	Create a file storage system for Argo index file requests
cachepath(uri, errors)	Return path to cached file for a given URI
clear_cache()
in_cache(fs, uri)	Return true if uri is cached
in_memory(fs, uri)	Return true if uri is in the memory store
open_dataframe(search_cls)	Run a search on an Argo index file and return a Pandas dataframe with results
open_index()
res2dataframe(results)	Convert a csv like string into a DataFrame