rdatasets 0.1.0

package that provides over 1000 datasets from various R packages

pyRdatasets

pyRdatasets is a collection of 1300 datasets taken from https://github.com/vincentarelbundock/Rdatasets. The datasets were extracted from various R packages and stored as gzip packed pickle files in pandas DataFrame structure. A description to each dataset can be found here: http://vincentarelbundock.github.io/Rdatasets/datasets.html

The package has a size around 25 Mb.

Installation

pip install rdatasets

Usage

>>> from rdatasets import data
>>> dataset = data("iris")
>>> dataset
     Sepal.Length  Sepal.Width  Petal.Length  Petal.Width    Species
0             5.1          3.5           1.4          0.2     setosa
1             4.9          3.0           1.4          0.2     setosa
2             4.7          3.2           1.3          0.2     setosa
3             4.6          3.1           1.5          0.2     setosa
4             5.0          3.6           1.4          0.2     setosa
..            ...          ...           ...          ...        ...
145           6.7          3.0           5.2          2.3  virginica
146           6.3          2.5           5.0          1.9  virginica
147           6.5          3.0           5.2          2.0  virginica
148           6.2          3.4           5.4          2.3  virginica
149           5.9          3.0           5.1          1.8  virginica

[150 rows x 5 columns]
>>> data("forecast", "co2")
Could not read forecast/co2
Which item did you mean: ['gas', 'gold', 'taylor', 'wineind', 'woolyrnq']?
>>> data("forecast", "gas")
            time  value
0    1956.000000   1709
1    1956.083333   1646
2    1956.166667   1794
3    1956.250000   1878
4    1956.333333   2173
..           ...    ...
471  1995.250000  49013
472  1995.333333  56624
473  1995.416667  61739
474  1995.500000  66600
475  1995.583333  60054

[476 rows x 2 columns]

The dataset description can be printed by:

from rdatasets import data, descr
print(descr("iris"))

A summary of all datasets is available as DataFrame object:

from rdatasets import summary
summary()

Thanks to

The archive of datasets distributed with R: of https://github.com/vincentarelbundock/Rdatasets