Metadata-Version: 2.1
Name: envirodataqc
Version: 0.2.0
Summary: Environmental data quality control
Home-page: https://github.com/chrisrycx/EnviroDataQC
Author: Chris Cox
Author-email: chrisrycx@gmail.com
License: UNKNOWN
Description: # EnviroDataQC
        This library provides a framework for assessing quality of environmental data.
        
        Data is assessed with respect to:
        * Data Range
        * Data rate of change
        * Data flatlining
        
        Additionally, special methods are provided for assessing wind speed and direction data.
        Data is classified as either suspicious or bad based on either default or custom user settings.
        
        ### Installation
        pip install envirodataqc
        
        ### Basic Use
        Pass data (Pandas dataframe) and measurement type to check_vals(). Dataframe is returned
        with three new columns: 'flags_range', 'flags_rate', 'flags_flat'. Measurement types supported are defined in 'QCconfig.py'.
        
        Flags:
        * 0 : Good
        * 1 : Suspicious
        * 2 : Bad
        
        ### Configuration
        Change and/or add dictionaries defined in 'QCconfig.py'. Dictionary entries define "good" ranges and "suspicious" ranges for each flag category. Configuration ranges can be non-continuous and any overlap between "good" and "suspicious" ranges will be flagged as "good".
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
