https://github.com/ivanyu/idx2numpy

A Python package which provides tools to convert files to and from IDX format (described at http://yann.lecun.com/exdb/mnist/) into numpy.ndarray.
https://github.com/ivanyu/idx2numpy

idx-format ndarray numpy python

Last synced: 7 days ago
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A Python package which provides tools to convert files to and from IDX format (described at http://yann.lecun.com/exdb/mnist/) into numpy.ndarray.

• Host: GitHub
• URL: https://github.com/ivanyu/idx2numpy
• Owner: ivanyu
• License: mit
• Created: 2013-01-31T11:52:21.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2020-10-09T05:02:11.000Z (about 4 years ago)
• Last Synced: 2024-11-01T07:41:05.022Z (14 days ago)
• Topics: idx-format, ndarray, numpy, python
• Language: Python
• Homepage:
• Size: 39.1 KB
• Stars: 24
• Watchers: 4
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
idx2numpy

=========

[![Build Status](https://travis-ci.org/ivanyu/idx2numpy.svg?branch=master)](https://travis-ci.org/ivanyu/idx2numpy)

`idx2numpy` package provides a tool for converting files to and from

IDX format to `numpy.ndarray`. You can meet files in IDX format,

e.g. when you're going to read the [MNIST database of handwritten digits](http://yann.lecun.com/exdb/mnist/) provided by Yann LeCun.

The description of IDX format also can be found on this page.

Installation

============

The easiest way to install is by using pip to pull it from PyPI:

    pip install idx2numpy

You can also clone the Git repository from Github and install 

the package manually:

    git clone https://github.com/ivanyu/idx2numpy.git

    python setup.py install

Usage

=====

```python

import idx2numpy

# Reading

ndarr = idx2numpy.convert_from_file('myfile.idx')

f_read = open('myfile.idx', 'rb')

ndarr = idx2numpy.convert_from_file(f_read)

s = f_read.read()

ndarr = idx2numpy.convert_from_string(s)

# Writing    

idx2numpy.convert_to_file('myfile_copy.idx', ndarr)

f_write = open('myfile_copy2.idx', 'wb')

idx2numpy.convert_to_file(f_write, ndarr)

s = convert_to_string(ndarr)

```

License

=======

MIT license (see `LICENSE` file)