data-science-utilities 0.2.4

Data Science utilities in python.

======================
Data Science Utilities
======================


.. image:: https://img.shields.io/pypi/v/data_science_utilities.svg
:target: https://pypi.python.org/pypi/data_science_utilities

.. image:: https://img.shields.io/travis/truocphamkhac/data-science-utilities.svg
:target: https://travis-ci.org/truocphamkhac/data-science-utilities

.. image:: https://readthedocs.org/projects/data-science-utilities/badge/?version=latest
:target: http://data-science-utilities-python.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status




Data Science utilities in python.


* Free software: MIT license
* Documentation: http://data-science-utilities-python.readthedocs.io.


Features
========

Missing Data Statistic
----------------------

.. code:: python

from data_science_utilities import data_science_utilities

# make statistic
missing_data = data_science_utilities.missing_data_stats(df)

# display statistic
missing_data


Read CSV files from path
------------------------

.. code:: python

from data_science_utilities import data_science_utilities

train_path = '../data/raw/train.csv'
test_path = '../data/raw/test.csv'

X_train, X_test = data_science_utilities.read_csv_files(train_path, test_path)


Plotting distribution normal
----------------------------

.. code:: python

from data_science_utilities import data_science_utilities

data_science_utilities.plot_dist_norm(dist, 'distribution normal')


Plotting correlation matrix
---------------------------

.. code:: python

from data_science_utilities import data_science_utilities

data_science_utilities.plot_corelation_matrix(data)


Plotting top attributes correlation matrix
------------------------------------------

.. code:: python

from data_science_utilities import data_science_utilities

data_science_utilities.plot_top_corelation_matrix(data, target, k=10, cmap='YlGnBu')


Plotting attributes by scatter chart
------------------------------------

.. code:: python

from data_science_utilities import data_science_utilities

data_science_utilities.plot_scatter(data, column_name, target)


Plotting attributes by box bar
------------------------------

.. code:: python

from data_science_utilities import data_science_utilities

data_science_utilities.plot_box(data, column_name, target)


Plotting category by box bar
----------------------------

.. code:: python

from data_science_utilities import data_science_utilities

data_science_utilities.plot_category_columns(data, limit_bars=10)


Generate a simple plot of the test and traning learning curve
-------------------------------------------------------------

.. code:: python

from data_science_utilities import data_science_utilities

data_science_utilities.plot_learning_curve(estimator, title, X, y, ylim=None,
cv=None, train_sizes=np.linspace(.1, 1.0, 5))


Credits
=======

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.2.4 (2018-05-21)
------------------

* Fixed render docs on README.


0.2.3 (2018-05-21)
------------------

* Fixed render docs on https://pypi.org/.


0.2.2 (2018-05-21)
------------------

* Fix render docs con't.


0.2.1 (2018-05-21)
------------------

* Fix render docs.


0.2.0 (2018-05-14)
------------------

* Adds utils about visualization.


0.1.0 (2018-05-11)
------------------

* First release on PyPI.