Pre-release
This release is a pre-release and may not be stable for production use.
==========================================
fmio - Fast stream I/O for numeric matrices
==========================================
If you have ever piped large CSV or TSV numeric data between
scripts, you might realize just how much time is taken parsing
strings rather than performing actual computations.
``fmio`` is a simple compressed, binary format and Python library
to read and write matrices -- defined as 2D numeric data with row
and column names, analogous to pandas DataFrames that only accept
numeric data.
Installation
============
The only dependencies are numpy and pandas.
.. code-block:: bash
$ pip install fmio
Usage
=====
From the command-line, you can serialize and deserialize fmio
matrices.
.. code-block:: bash
$ fmio < in.tsv > out.fmio
$ fmio -dc < out.fmio
<same as input>
The real purpose is to perform fast reads from within Python:
``run.py``
.. code-block:: python
import fmio, sys
with fmio.Reader(sys.stdin) as h:
for r in h:
print(r.name, r.sum())
.. code-block:: bash
$ python run.py < out.fmio
Warnings
========
The file format is in machine-native format. Although almost all
modern processors are "little-endian", these files may not be
completely portable.
The library is still in development. The file format is mostly
stable but still subject to change. Don't use this for long-term
data storage.
License
=======
AGPLv3
fmio - Fast stream I/O for numeric matrices
==========================================
If you have ever piped large CSV or TSV numeric data between
scripts, you might realize just how much time is taken parsing
strings rather than performing actual computations.
``fmio`` is a simple compressed, binary format and Python library
to read and write matrices -- defined as 2D numeric data with row
and column names, analogous to pandas DataFrames that only accept
numeric data.
Installation
============
The only dependencies are numpy and pandas.
.. code-block:: bash
$ pip install fmio
Usage
=====
From the command-line, you can serialize and deserialize fmio
matrices.
.. code-block:: bash
$ fmio < in.tsv > out.fmio
$ fmio -dc < out.fmio
<same as input>
The real purpose is to perform fast reads from within Python:
``run.py``
.. code-block:: python
import fmio, sys
with fmio.Reader(sys.stdin) as h:
for r in h:
print(r.name, r.sum())
.. code-block:: bash
$ python run.py < out.fmio
Warnings
========
The file format is in machine-native format. Although almost all
modern processors are "little-endian", these files may not be
completely portable.
The library is still in development. The file format is mostly
stable but still subject to change. Don't use this for long-term
data storage.
License
=======
AGPLv3
Metadata
Release files for fmio 1.0-beta
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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Release files / fmio-1.0-beta.tar.gz
| Download URL | fmio-1.0-beta.tar.gz |
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