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Description:
datautilities 1.2.10
Data Utilities
Data utilities library focused on machine learning and data analysis.
The library relies upon python's scientific/numeric stack to expand their
capabilities. The dependencies are:
numpy
scipy
pandas
matplotlib
seaborn
scikit-learn
Optional dependencies are:
XGBoost
deap
Highlights are:
matplotlib_utilities: out-of-the-shelf data description with
histogram_of_dataframe.
pandas_utilities: easier dataframe preparation with
rename_columns_to_lower, categorical_serie_to_binary_dataframe,
balance_ndframe and get_numeric_columns.
sklearn_utilities: multiprocessing and persistence support for hyper
parameter grid search, both exhaustive and using a genetic algorithmic
approach; convenience functions to the XGBoost module.
And much more.
Organization and files
./data_utilities
├── __init__.py
├── matplotlib_utilities.py
├── pandas_utilities.py
├── python_utilities.py
├── sklearn_utilities
│ ├── evolutionary_grid_search.py
│ ├── grid_search.py
│ └── __init__.py
└── tests
├── __init__.py
├── test_matplotlib_utilities.py
├── test_pandas_utilities.py
├── test_python_utilities.py
├── test_sklearn_utilities.py
└── test_support.py
Each of python's significant data modules has its own set of functions.
Optional dependencies functions are interspersed throughout the code.
This module does not intend to create its own API or standards. Instead each of
the utilities module should follow the guidelines and APIs provided by the
parent module.
Note: This is a primitive project. Expect backwards incompatible changes as I
figure out the best way to to develop the utilities.
What's new
Check our changelog.
Development guidelines
Coding style: PEP 8 compliant.
Docstrings: google docstrings.
Before commiting new versions do a test for different versions of python3:
python3.4
python3.5
python3.6
(newer versions)
Rationale: even though stability is expected between python versions some
changes occur. See for instance that on commit v1.2.8 (60573d7) there was
as unexpected import error on python34 but not on python36.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Files:
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