Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

"More" Package

This is a helper package for a variety of functions as described in the Overview section below.

Installation

  • For standard installation
pip install more 
  • For installing a particular version
pip install more==0.0.1b14

Overview

This is a helper package for a variety of functions

  1. Extension for Pandas Dataframe (Beta version released)
  2. Extension for Visualization (Beta version released)
  3. Extension for Scikit-learn (Beta version released)

Examples

Check out the examples folder for details on usage

Version History

0.0.1b14

  • Added more helper functions for pandas
  • Made files PEP8 compliant

0.0.1b13

  • Added Hyperoptimization helper class (using hyperopt library)
  • Added ability to do hyperparameter optimization in Cluster Helper Class
  • Updated heatmap method name in cluster helper from plot_heatmap to plot_means_heatmap

0.0.1b12

  • Add functions for plotting elbow curves.
  • typo fixed in function name

0.0.1b10 & 0.0.1b11

  • Updated Visualization Helper to add function to plot Heatmap
  • Updated BaseClusterWithN to allow plotting of heatmap showing how "cluster feature means" vary between clusters
  • 0.0.1b11 included a small bug fix in 0.0.1b10

0.0.1b9

  • Updated KMeans and Agglomerative Cluster Helpers to include evaluate_by argument

0.0.1b8

  • Added Cluster Helpers for KMeans and Agglomerative Clustering

0.0.1b7

  • Added Cluster Helper for Gaussian Clusters
  • Fixed Bug for plot_parallel_coordinates where it was not working correctly for a multi-level categorical label
  • Fixed bug for pandas helper for describing categorical and numeric fields - Now it gives a warning if the dataframe does not have any categorical or numeric field when those respective describe functions are called.

Metadata

Release files for more 0.0.1b14

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

Source distribution (sdist)

Source distribution for more 0.0.1b14
File Size Uploaded Provenance Actions
more-0.0.1b14.tar.gz 24.2 kB Without provenance Details for more-0.0.1b14.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for more 0.0.1b14
File Interpreter ABI Platform Actions
more-0.0.1b14-py3-none-any.whl Python 3 none any Details for more-0.0.1b14-py3-none-any.whl

Total release size: 60.0 kB

Release files / more-0.0.1b14.tar.gz

Download URL more-0.0.1b14.tar.gz
Size 24.2 kB
Tags Source
SHA-256 checksum
How to use checksums
76b8ecc91c50a8cadaa25523188ae8f7dc080571548f842a543e1f70944b2bfb
BLAKE2b-256 checksum
How to use checksums
5f148dfeacede8681b2cf9a934c5dd32fa80aa2c1efe5674276c115aba5c5bb6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

Release files / more-0.0.1b14-py3-none-any.whl

Download URL more-0.0.1b14-py3-none-any.whl
Size 35.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8f8d61b033cc0f90a98d1ef2ec7b07806ccc99495386fb82de6be41049e80714
BLAKE2b-256 checksum
How to use checksums
7a7f6f8c98ba343d8f6677ddd24f8ba7db2d90f9a5ac3f47f6759f6d7e7c511a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

Security for more 0.0.1b14

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