unipy.dataset package¶
Submodules¶
Module contents¶
Datasets.
This module offers you well-known datasets.
api¶
init – Unzip datasets.
reset – Re-unzip datasets.
ls – List-up datasets.
load – Load a dataset.
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unipy.dataset.
init
()[source]¶ Summary unipy package has some famous datasets. This function unzip the embedded dataset to use.
- Returns
- Return type
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']
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unipy.dataset.
reset
()[source]¶ Summary This function unzip the embedded dataset to use. Equal to dm.init()
- Returns
- Return type
Examples
>>> import unipy.dataset.api as dm >>> dm.reset()
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unipy.dataset.
ls
()[source]¶ Summary This function shows the list of the dataset.
- Returns
- Return type
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']
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unipy.dataset.
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