unipy.dataset.api module¶

Pre-made Dataset Provider.

unipy.dataset.api.init()[source]¶

Summary unipy package has some famous datasets. This function unzip the embedded dataset to use.

Returns
Return type: None

Examples

>>> import unipy.dataset.api as dm
>>> dm.init()
['iris', 'births_small', 'anscombe', 'nutrients', 'car90', 'cars',
 'breast_cancer', 'winequality_red', 'german_credit_scoring_fars2008',
 'winequality_white', 'tips', 'air_quality', 'diabetes', 'births_big',
 'adult', 'titanic']

unipy.dataset.api.reset()[source]¶

Summary This function unzip the embedded dataset to use. Equal to dm.init()

Returns
Return type: None

Examples

>>> import unipy.dataset.api as dm
>>> dm.reset()

unipy.dataset.api.ls()[source]¶

Summary This function shows the list of the dataset.

Returns
Return type: list

Examples

>>> import unipy.dataset.api as dm
>>> dm.init()
['iris', 'births_small', 'anscombe', 'nutrients', 'car90', 'cars',
 'breast_cancer', 'winequality_red', 'german_credit_scoring_fars2008',
 'winequality_white', 'tips', 'air_quality', 'diabetes', 'births_big',
 'adult', 'titanic']
>>> dm.ls()
['iris', 'births_small', 'anscombe', 'nutrients', 'car90', 'cars',
 'breast_cancer', 'winequality_red', 'german_credit_scoring_fars2008',
 'winequality_white', 'tips', 'air_quality', 'diabetes', 'births_big',
 'adult', 'titanic']

unipy.dataset.api.load(pick)[source]¶

Summary This function returns a dataset you select. :param pick: You can load a dataset by its name or its index from the list of

dm.ls(). Indices start with 0.

Returns
Return type: pandas.DataFrame

Examples

>>> import unipy.dataset.api as dm
>>> dm.init()
['iris', 'births_small', 'anscombe', 'nutrients', 'car90', 'cars',
 'breast_cancer', 'winequality_red', 'german_credit_scoring_fars2008',
 'winequality_white', 'tips', 'air_quality', 'diabetes', 'births_big',
 'adult', 'titanic']
>>> data = dm.load('anscombe')
Dataset : anscombe
>>> data = dm.load(2)
Dataset : anscombe