Skip to main content

自用

https://pypi.org/project/FeatureInsight/0.0.1/ bash scripts/upload_pypi.sh --verbose

如何使用?

from FeatureInsight import struct_Investigation,univar_dis,bivar_dis

EDA: Structure summary=struct_Investigation(df)
summary.print() summary.sort('Unique Count')

EDA: statistics

univar_dis(df,df.columns,mode="pie") univar_dis(df,df.columns) bivar_dis(df,[["Age","Drug"],["Sex","BP"],["K","Drug"]],mode="Bar") bivar_dis(df,[["Age","Drug"],["Sex","BP"],["K","Drug"]],mode="Line")

Metadata

Release files for FeatureInsight 0.0.9

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

Source distribution (sdist)

Source distribution for FeatureInsight 0.0.9
File Size Uploaded Provenance
FeatureInsight-0.0.9.tar.gz 6.3 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for FeatureInsight 0.0.9
File Interpreter ABI Platform
FeatureInsight-0.0.9-py3-none-any.whl Python 3 none any Details

Total release size: 13.9 kB

Release files / FeatureInsight-0.0.9.tar.gz

Download URL FeatureInsight-0.0.9.tar.gz
Size 6.3 kB
Tags Source
SHA-256 checksum
How to use checksums
a8498805db04809ece0ec2d1c76e0f73b0b43f20df98c9bcb2a8c417dffd51ef
BLAKE2b-256 checksum
How to use checksums
a7b594707d40486c478607629c2b098a9439cfa14e93e9ac19e9a879dd5ce0f6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.10

Release files / FeatureInsight-0.0.9-py3-none-any.whl

Download URL FeatureInsight-0.0.9-py3-none-any.whl
Size 7.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
50f28b4132a5e4269c990714139ccd2d272ec7f5c18cf6dc81c722af6cb2cb73
BLAKE2b-256 checksum
How to use checksums
806cd8c800c867fc0c1add5e5978fcd6972789fdf11c927f7e644f4b3db9b0f5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.10

Security for FeatureInsight 0.0.9

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