argopy.stores.implementations.ftp.ftpstore

class ftpstore(*args, **kwargs)

Argo ftp file system

Inherits from argopy.stores.httpstore but relies on fsspec.implementations.ftp.FTPFileSystem

__init__(*args, **kwargs)

Create a file storage system for Argo data

Parameters:

• cache (bool (False))

• cachedir (str (from OPTIONS))

• **kwargs ((optional)) – Other arguments are passed to fsspec.filesystem()

Methods

__init__(*args, **kwargs)	Create a file storage system for Argo data
cachepath(uri[, errors])	Return path to cached file for a given URI
clear_cache()	Remove cache files and entry from uri open with this store instance
curateurl(url)	Register and possibly manipulate an url before it's accessed
download_url(url[, max_attempt, cat_opts, ...])	Resilient URL data downloader
exists(path, *args, **kwargs)
expand_path(path, **kwargs)	Turn one or more globs or directories into a list of all matching paths to files or directories.
first(path[, N])	Read first N bytes of a path
full_path(path[, protocol])	Return fully developed path
glob(path, **kwargs)
info(path, *args, **kwargs)
ls(path, **kwargs)
open(path, *args, **kwargs)
open_dataset(url[, errors, lazy, xr_opts])	Create a xarray.Dataset from an url pointing to a netcdf file
open_json(url[, errors])	Download and process a json document from an url
open_mfdataset(urls[, max_workers, method, ...])	Open multiple ftp urls as a single xarray dataset.
open_mfjson(urls[, max_workers, method, ...])	Download and process a collection of JSON documents from urls
read_csv(url, **kwargs)	Read a comma-separated values (csv) url into Pandas DataFrame.
register(uri)	Keep track of files open with this instance
store_path(uri)
unstrip_protocol(path, **kwargs)

Attributes

async_impl
asynchronous
cached_files
host
port
protocol	File system name, one in fsspec.registry.known_implementations
sep
target_protocol