https://github.com/holgern/pyrdatasets
2293 datasets from various R packages packed as DataFrames through compressed pickle files
https://github.com/holgern/pyrdatasets
data-science datasets python rdatasets
Last synced: 6 months ago
JSON representation
2293 datasets from various R packages packed as DataFrames through compressed pickle files
- Host: GitHub
- URL: https://github.com/holgern/pyrdatasets
- Owner: holgern
- License: gpl-3.0
- Created: 2019-11-12T14:16:08.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-06-19T15:04:21.000Z (11 months ago)
- Last Synced: 2024-11-01T20:12:15.810Z (7 months ago)
- Topics: data-science, datasets, python, rdatasets
- Language: Python
- Homepage: http://vincentarelbundock.github.io/Rdatasets/datasets.html
- Size: 140 MB
- Stars: 8
- Watchers: 3
- Forks: 4
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# pyRdatasets
[](https://pypi.python.org/pypi/rdatasets/)
[](https://anaconda.org/conda-forge/rdatasets)
[](https://anaconda.org/conda-forge/rdatasets)
pyRdatasets is a collection of 2293 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 2293 data records are already included in the package (no internet connection necessary), which has a size around 40 Mb.
## Installation
```
pip install rdatasets
```
or
```
conda install conda-forge::rdatasets
```
## Usage
```
>>> import rdatasets
>>> dataset = rdatasets.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]
>>> rdatasets.data("forecast", "co2")
Could not read forecast/co2
Which item did you mean: ['gas', 'gold', 'taylor', 'wineind', 'woolyrnq']?
>>> rdatasets.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:
```
import rdatasets
print(rdatasets.descr("iris"))
```
A summary of all datasets is available as DataFrame object:
```
import rdatasets
rdatasets.summary()
```
## Thanks to
The archive of datasets distributed with R: of https://github.com/vincentarelbundock/Rdatasets
## Pre-commit-config
### Installation
```
$ pip install pre-commit
```
### Using homebrew:
```
$ brew install pre-commit
```
```
$ pre-commit --version
pre-commit 2.10.0
```
### Install the git hook scripts
```
$ pre-commit install
```
### Run against all the files
```
pre-commit run --all-files
pre-commit run --show-diff-on-failure --color=always --all-files
```
### Update package rev in pre-commit yaml
```bash
pre-commit autoupdate
pre-commit run --show-diff-on-failure --color=always --all-files
```