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
All 1300 data records are already included in the package (no internet connection necessary), which has a size around 25 Mb.
pip install rdatasets
>>> 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()
The archive of datasets distributed with R: of https://github.com/vincentarelbundock/Rdatasets