Metadata-Version: 2.1
Name: netdata-insights-alt
Version: 0.1.20
Summary: Python library for Netdata 'Insights' features.
Home-page: https://github.com/netdata/netdata-insights/tree/master/
Author: Andrew Maguire
Author-email: andrewmaguire@netdata.cloud
License: Apache Software License 2.0
Description: # Netdata Insights
        > Netdata Insights.
        
        
        [![pypi package](https://img.shields.io/pypi/v/netdata-insights.svg)](https://pypi.python.org/pypi/netdata-insights/) 
        [![CI](https://github.com/netdata/netdata-insights/workflows/CI/badge.svg)](https://github.com/netdata/netdata-insights/actions?query=workflow%3ACI)
        
        ## Install
        
        `pip install netdata_insights`
        
        ## Quickstart
        
        ```python
        import random 
        import pandas as pd
        import numpy as np
        
        from netdata_insights.correlations.core import run_model_dict
        from netdata_insights.data.utils import get_data_dict, get_chart_list
        
        # pick some charts
        #charts = random.sample(get_chart_list(host='london.my-netdata.io'),2)
        charts = ['system.cpu']
        
        # get some data
        dict_baseline = get_data_dict(after=-120, before=0, host='london.my-netdata.io', charts=charts)
        dict_highlight = get_data_dict(after=-560, before=-120, host='london.my-netdata.io', charts=charts)
        
        
        # run correlations
        results = run_model_dict('ks', dict_baseline, dict_highlight)
        results
        ```
        
        
        
        
            {'data': {'system.cpu': {'softirq': {'score': 0.0661},
               'iowait': {'score': 0.0071},
               'guest': {'score': 0.0},
               'nice': {'score': 0.0},
               'steal': {'score': 0.0405},
               'system': {'score': 0.1518},
               'irq': {'score': 0.0},
               'guest_nice': {'score': 0.0},
               'user': {'score': 0.2244}}},
             'summary': {'model_level': 'dim',
              'n_charts': 1,
              'n_dims': 9,
              'n_bad_data': 0,
              'fit_success': 9,
              'fit_default': 0,
              'fit_fail': 0,
              'success_rate': 1.0,
              'bad_data_rate': 0.0,
              'n_lags': 0,
              'fit_manual': 0}}
        
        
        
Keywords: netdata
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
