Skip to main content

Access and load many datasets instantly in two steps.

Usage:

from pydataset import data

iris = data(‘iris’)

Install:

$ pip install pydataset

Metadata

Release files for pydataset 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pydataset 0.2.0
File Size Uploaded Provenance
pydataset-0.2.0.tar.gz 15.9 MB Without provenance Details

Release files / pydataset-0.2.0.tar.gz

Download URL pydataset-0.2.0.tar.gz
Size 15.9 MB
Tags Source
SHA-256 checksum
How to use checksums
e12a7b8a21fea3fc50ef93f13bd0819f820826d4078f791c2abe40fe8be04c0b
BLAKE2b-256 checksum
How to use checksums
4f15548792a1bb9caf6a3affd61c64d306b08c63c8a5a49e2c2d931b67ec2108
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for pydataset 0.2.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page