Skip to main content

Buffered iterator for big arrays.

Project description

This class creates a buffered iterator for reading big arrays in small contiguous blocks. The class is useful for objects stored in the filesystem. It allows iteration over the object without reading everything in memory; instead, small blocks are read and iterated over.

The class can be used with any object that supports multidimensional slices and a copy() method, like variables from Scientific.IO.NetCDF, pynetcdf and numpy.array.

The latest version is available in a Subversion repository.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

arrayterator-0.2.2.1.tar.gz (3.3 kB view details)

Uploaded Source

Built Distribution

arrayterator-0.2.2.1-py2.4.egg (6.3 kB view details)

Uploaded Source

File details

Details for the file arrayterator-0.2.2.1.tar.gz.

File metadata

File hashes

Hashes for arrayterator-0.2.2.1.tar.gz
Algorithm Hash digest
SHA256 89ea9ec1f26975134e7fb64e4f55bbd9001d39df5caa5357104d966ba5159b5f
MD5 2d056fd726ed496045d5e69200b490af
BLAKE2b-256 45057bc0152cada09877f1d958a3d0f9a380152b5d9de8981eabfe815e9ca7fe

See more details on using hashes here.

Provenance

File details

Details for the file arrayterator-0.2.2.1-py2.4.egg.

File metadata

File hashes

Hashes for arrayterator-0.2.2.1-py2.4.egg
Algorithm Hash digest
SHA256 4c3172ce9e7d031a1f251d270b267e3451490daf15804f36279be6a1b0c1bc2b
MD5 55d071b265dca409699fdd9019f8198e
BLAKE2b-256 9990c722da7595590cf06fab75dd604f2d2d5c8f627dc5fb9593dc4046583b6e

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page