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column-map-and-manifests

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Simplify site-specific data mapping for pandas workflows.

Data & Analytics#json#pandas#data integration#mapping#fault detection#site
Authorbbartling
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill facilitates the translation of site-specific point identifiers into pandas DataFrame columns, enabling seamless integration of custom data schemas with YAML fault detection rules.

Core Features & Use Cases

  • Mapping site input keys: Convert BRICK/ontology inputs to pandas columns using dicts, manifests, or composite resolvers.
  • Integration support: Use with open_fdd.engine and other related tools to streamline rule execution across different site configurations.
  • Use Case: A data engineer importing site-specific data schemas can quickly resolve mapping keys to DataFrame columns to ensure correct rule application.

Quick Start

Load a JSON manifest to resolve site mappings, then run the data frame through open_fdd to match site inputs with DataFrame columns for fault detection rules.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: column-map-and-manifests
Download link: https://github.com/bbartling/open-fdd/archive/main.zip#column-map-and-manifests

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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