numpy.lib.npyio.DataSource

class numpy.lib.npyio.DataSource(destpath='.')

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

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:

destpathstr 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)
'/home/guido/www.google.com/index.html'

>>> ds = np.lib.npyio.DataSource(None)  # use with temporary file
>>> ds.open('/home/guido/foobar.txt')
<open file '/home/guido.foobar.txt', mode 'r' at 0x91d4430>
>>> ds.abspath('/home/guido/foobar.txt')
'/tmp/.../home/guido/foobar.txt'

Methods

abspath(path)	Return absolute path of file in the DataSource directory.
exists(path)	Test if path exists.
open(path[, mode, encoding, newline])	Open and return file-like object.