QC14_TimePeakValue
OfficialDetect sharp peaks in time series data with ease.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
QC14_TimePeakValue helps users identify and mark anomalies in time series data, making it easier to spot sharp peaks or sudden changes.
Core Features & Use Cases
- Anomaly Detection: Identify data points where the change in value is greater than a specified threshold over a defined number of consecutive readings.
- Time Series Analysis: Process and analyze time series data to uncover patterns and trends.
- Use Case: For example, in environmental monitoring, this skill can be used to detect sudden changes in temperature or pollution levels.
Quick Start
Run the QC14_TimePeakValue skill with the following parameters: `--input_path /path/to/input.csv --output_path /path/to/output.csv --conditions "temperature,5,3" --time_field time --time_format "%Y-%m-%d %H:%M:%S" --qc_mark "Sharp Anomaly" --mark_field_name QA0010'.
Dependency Matrix
Required Modules
pandas
Components
scripts
💻 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: QC14_TimePeakValue Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#qc14-timepeakvalue Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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