Skip to main content

A library capable of removing outliers from a pandas dataframe

PROJECT 2, UCS633 - Data Analysis and Visualization
Nishant Dhanda 
COE17
Roll number: 101703375

Metadata

Release files for 101703375-p2 0.1.0

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

Source distribution (sdist)

Source distribution for 101703375-p2 0.1.0
File Size Uploaded Provenance Actions
101703375_p2-0.1.0.tar.gz 1.7 kB Without provenance Details for 101703375_p2-0.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for 101703375-p2 0.1.0
File Interpreter ABI Platform Actions
101703375_p2-0.1.0-py2-none-any.whl Python 2 none any Details for 101703375_p2-0.1.0-py2-none-any.whl

Total release size: 4.1 kB

Release files / 101703375_p2-0.1.0.tar.gz

Download URL 101703375_p2-0.1.0.tar.gz
Size 1.7 kB
Tags Source
SHA-256 checksum
How to use checksums
5c569e40f1210f860d19d5309c81dc5c6b885e2c3846e7239e15742aeda3fa1c
BLAKE2b-256 checksum
How to use checksums
2aac3ca87862916678a51ec69657ebfae7f4d604537c712dc84f98edeb174be7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.17

Release files / 101703375_p2-0.1.0-py2-none-any.whl

Download URL 101703375_p2-0.1.0-py2-none-any.whl
Size 2.4 kB
Tags Python 2
SHA-256 checksum
How to use checksums
fb84cc46286b4daeca24cc42be887b93b6bd38e1e949c4a304b437a414f73b99
BLAKE2b-256 checksum
How to use checksums
e4a80653ad7dba4a7d5d0a10da13161c9ab054fb609042f8fe1e2ce20ef00854
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.17

Security for 101703375-p2 0.1.0

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