DataProperty 0.20.0

Python library for extract property from data.

Home-page: https://github.com/thombashi/DataProperty
Author: Tsuyoshi Hombashi
Author-email: [e-mail]
License: MIT License
Description: **DataProperty**

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.. contents:: Table of contents
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Summary
=======
A python library for extract property from data.


Installation
============

::

pip install DataProperty


Usage
=====

Extract property of data
------------------------

e.g. Extract a ``float`` value property
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

>>> from dataproperty import DataProperty
>>> DataProperty(-1.1)
data=-1.1, typename=FLOAT, align=right, length=4, ascii_char_width=4, integer_digits=1, decimal_places=1, additional_format_len=1


e.g. Extract a ``int`` value property
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

>>> from dataproperty import DataProperty
>>> DataProperty(123456789)
data=123456789, typename=INTEGER, align=right, length=9, ascii_char_width=9, integer_digits=9, decimal_places=0, additional_format_len=0

e.g. Extract a ``str`` (ascii) value property
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

>>> from dataproperty import DataProperty
>>> DataProperty("sample string")
data=sample string, typename=STRING, align=left, length=13, ascii_char_width=13, integer_digits=nan, decimal_places=nan, additional_format_len=0

e.g. Extract a ``str`` (multi-byte) value property
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

>>> import six
>>> from dataproperty import DataProperty
>>> six.text_type(DataProperty("吾輩は猫である"))
data=吾輩は猫である, typename=STRING, align=left, length=7, ascii_char_width=14, integer_digits=nan, decimal_places=nan, additional_format_len=0

::

e.g. Extract a time (``datetime``) value property
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

>>> import datetime
>>> from dataproperty import DataProperty
>>> DataProperty(datetime.datetime(2017, 1, 1, 0, 0, 0))
data=2017-01-01 00:00:00, typename=DATETIME, align=left, length=19, ascii_char_width=19, integer_digits=nan, decimal_places=nan, additional_format_len=0

e.g. Extract a ``bool`` value property
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

>>> from dataproperty import DataProperty
>>> DataProperty(True)
data=True, typename=BOOL, align=left, length=4, ascii_char_width=4, integer_digits=nan, decimal_places=nan, additional_format_len=0


Extract data property for each element from a matrix
----------------------------------------------------
``DataPropertyExtractor.to_dataproperty_matrix`` method will return a matrix of ``DataProperty`` instances from a data matrix.
An example data set and the result are as follows:

.. code:: python

dt = datetime.datetime(2017, 1, 1, 0, 0, 0)
inf = float("inf")
nan = float("nan")

data_matrix = [
[1, 1.1, "aa", 1, 1, True, inf, nan, dt],
[2, 2.2, "bbb", 2.2, 2.2, False, "inf", "nan", dt],
[3, 3.33, "cccc", -3, "ccc", "true", inf, "NAN", "2017-01-01T01:23:45+0900"],
]

::

$ ./to_dataproperty_matrix.py
---------- typename ----------
['INTEGER', 'FLOAT', 'STRING', 'INTEGER', 'INTEGER', 'BOOL', 'INFINITY', 'NAN', 'DATETIME']
['INTEGER', 'FLOAT', 'STRING', 'FLOAT', 'FLOAT', 'BOOL', 'INFINITY', 'NAN', 'DATETIME']
['INTEGER', 'FLOAT', 'STRING', 'INTEGER', 'STRING', 'BOOL', 'INFINITY', 'NAN', 'STRING']

---------- data ----------
[1, Decimal('1.1'), 'aa', 1, 1, True, Decimal('Infinity'), Decimal('NaN'), datetime.datetime(2017, 1, 1, 0, 0)]
[2, Decimal('2.2'), 'bbb', Decimal('2.2'), Decimal('2.2'), False, Decimal('Infinity'), Decimal('NaN'), datetime.datetime(2017, 1, 1, 0, 0)]
[3, Decimal('3.33'), 'cccc', -3, 'ccc', True, Decimal('Infinity'), Decimal('NaN'), '2017-01-01T01:23:45+0900']

---------- align ----------
[right, right, left, right, right, left, left, left, left]
[right, right, left, right, right, left, left, left, left]
[right, right, left, right, left, left, left, left, left]

---------- length ----------
[1, 3, 2, 1, 1, 4, 8, 3, 19]
[1, 3, 3, 3, 3, 5, 8, 3, 19]
[1, 4, 4, 2, 3, 4, 8, 3, 24]

---------- integer_digits ----------
[1, 1, nan, 1, 1, nan, nan, nan, nan]
[1, 1, nan, 1, 1, nan, nan, nan, nan]
[1, 1, nan, 1, nan, nan, nan, nan, nan]

---------- decimal_places ----------
[0, 1, nan, 0, 0, nan, nan, nan, nan]
[0, 1, nan, 1, 1, nan, nan, nan, nan]
[0, 2, nan, 0, nan, nan, nan, nan, nan]

Full example source code can be found at *examples/py/to_dataproperty_matrix.py*


Extract property for each column from a matrix
------------------------------------------------------
``DataPropertyExtractor.to_col_dataproperty_list`` method will return a list of ``DataProperty`` instances from a data matrix. The list represents the properties for each column.
An example data set and the result are as follows:

Example data set and result are as follows:

.. code:: python

dt = datetime.datetime(2017, 1, 1, 0, 0, 0)
inf = float("inf")
nan = float("nan")

data_matrix = [
[1, 1.1, "aa", 1, 1, True, inf, nan, dt],
[2, 2.2, "bbb", 2.2, 2.2, False, "inf", "nan", dt],
[3, 3.33, "cccc", -3, "ccc", "true", inf, "NAN", "2017-01-01T01:23:45+0900"],
]

::

$ ./to_col_dataproperty_list.py
---------- typename ----------
['INTEGER', 'FLOAT', 'STRING', 'FLOAT', 'STRING', 'BOOL', 'INFINITY', 'NAN', 'STRING']

---------- align ----------
[right, right, left, right, left, left, left, left, left]

---------- ascii_char_width ----------
[3, 5, 4, 4, 3, 5, 8, 3, 24]

---------- decimal_places ----------
[0, 2, nan, 1, 1, nan, nan, nan, nan]


Full example source code can be found at *examples/py/to_col_dataproperty_list.py*


Dependencies
============

Python 2.7+ or 3.3+

- `typepy <https://github.com/thombashi/typepy>`__

Test dependencies
-----------------

- `pytest <https://pypi.python.org/pypi/pytest>`__
- `pytest-runner <https://pypi.python.org/pypi/pytest-runner>`__
- `tox <https://pypi.python.org/pypi/tox>`__

Keywords: data,property
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules