DataSource(destpath='.')
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.
URLs require a scheme string ( http://
) to be used, without it they will fail:
>>> repos = np.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.
Path to the directory where the source file gets downloaded to for use. If :None:None:`destpath`
is None, a temporary directory will be created. The default path is the current directory.
A generic data source file (file, http, ftp, ...).
>>> ds = np.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'
See :>>> ds = np.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'
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.lib._datasource.Repository.exists
numpy.lib._datasource.Repository.abspath
numpy.lib._datasource.Repository
numpy.lib._datasource.DataSource.exists
numpy.lib._datasource.DataSource.abspath
numpy.lib._datasource.DataSource.open
numpy.lib._datasource.open
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