datadepot
This library provides a collection of datasets used in the book Data Science Foundations and Machine Learning with Python.
Installation
Install datadepot with pip:
pip install datadepot
or with conda:
conda install conda-forge::datadepot
Usage
Import datadepot and load a dataset:
import datadepot
df = datadepot.load("<dataset>")
Replace <dataset> with the name of the dataset you want to load. For example:
df = datadepot.load("bank")
The returned object is a pandas DataFrame.
Dataset Information
View metadata for any dataset:
datadepot.info("<dataset>")
Example:
datadepot.info("diamonds")
This displays the dataset metadata:
- Description
- Source
- URL
- Creators
- License
- License URL
Available Datasets
The following datasets are included:
- adult
- bank
- bike_sharing
- churn
- cpu
- credit
- creditcard
- diamonds
- drug
- house
- house_price
- loan
- mpg
- nyc_taxi
- online_shoppers
- red_wines
More information about each dataset is available at https://datasciencebook.ai/datadepot, including its description, source, creators, and license.
License
datadepot is distributed under the MIT License. Individual datasets may be subject to different licenses; see each dataset's metadata for details.
1 maintainer
Metadata
1 maintainer
Release files for datadepot 0.0.85
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Source distribution (sdist)
| File | Size | Uploaded | |
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| datadepot-0.0.85.tar.gz | 72.4 MB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datadepot-0.0.85-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 144.6 MB
Release files / datadepot-0.0.85.tar.gz
| Download URL | datadepot-0.0.85.tar.gz |
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| Size | 72.4 MB |
| Tags | Source |
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| Tags | Python 3 |
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