`numpy.lib.npyio:DataSource`

source: /numpy/lib/npyio.py

Signature

class DataSource ( destpath = . )

Summary

A generic data source file (file, http, ftp, ...).

Extended Summary

DataSources can be local files or remote files/URLs. The files may also be compressed or uncompressed. DataSource hides some of the low-level details of downloading the file, allowing you to simply pass in a valid file path (or URL) and obtain a file object.

Parameters

destpath : str or None, optional: Path to the directory where the source file gets downloaded to for use. If destpath is None, a temporary directory will be created. The default path is the current directory.

Notes

URLs require a scheme string (http://) to be used, without it they will fail

>>> repos = np.lib.npyio.DataSource()
>>> repos.exists('www.google.com/index.html')
False
>>> repos.exists('http://www.google.com/index.html')
True

Temporary directories are deleted when the DataSource is deleted.

Examples

ds = np.lib.npyio.DataSource('/home/guido')
urlname = 'http://www.google.com/'

✓

gfile = ds.open('http://www.google.com/')

⚠

ds.abspath(urlname)

✗

ds = np.lib.npyio.DataSource(None)  # use with temporary file

✓

ds.open('/home/guido/foobar.txt')

⚠

ds.abspath('/home/guido/foobar.txt')

✓

Aliases

numpy.lib._datasource.DataSource