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-0.2.8.tar.gz (9.6 kB view details)

Uploaded Source

Built Distribution

arrayterator-0.2.8-py2.5.egg (6.8 kB view details)

Uploaded Source

File details

Details for the file arrayterator-0.2.8.tar.gz.

File metadata

File hashes

Hashes for arrayterator-0.2.8.tar.gz
Algorithm Hash digest
SHA256 f2d6e77b880a72cd39ce87b4829122e7c0ecbeba8d6eca397b72b57caec38bab
MD5 747e22e0cce50f601b3fb37b9a53df7d
BLAKE2b-256 686048fbb1b0d3ea11c3db831ec228c926ef9945a545145f273f900825837ac2

See more details on using hashes here.

Provenance

File details

Details for the file arrayterator-0.2.8-py2.5.egg.

File metadata

File hashes

Hashes for arrayterator-0.2.8-py2.5.egg
Algorithm Hash digest
SHA256 19bbe65661b3ba6010c5224f6c31ed4794ffc98a77eb6b23961282d258de0bda
MD5 b6b8a590f6f8a6e289cd48b16b8ecd53
BLAKE2b-256 5baa623660615fb5b6441e3ac8ecb2493d5aa0d3eb77c5ba926ef5cc8b67b363

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