Metadata-Version: 2.1
Name: va-timeseries
Version: 1.0.5
Summary: Timeseries Analysis
Home-page: https://github.com/joocer/timeseries
Author: Joocer
Author-email: justin.joyce@joocer.com
License: UNKNOWN
Description: # timeseries
        
        A Python library for the interpretation and treatment of time-series data.
        
        ~~~
        pip install va-timeseries
        ~~~
        
        ## What is it?
        
        A set of methods to process timeseries data.
        
        ## Main Features
        
        Seasonal Decomposition
        -> trend
        -> detrend
        -> seasonal
        -> residual
        -> plot()
        
        ### Seasonal Adjustment
        ~~~~
        timeseries.seasonal_pattern (series, period)
        timeseries.series_frequencies (series)
        timeseries.cycle_periods (series) <- estimate
        ~~~~
        
        ### Trending
        ~~~~
        timeseries.linear_regression (x, y)
        timeseries.henderson (series, window)
        timeseries.rolling_average (series, window)
        ~~~~
        
        Methods for identifying and describing trends in data.
        
        
        ### Control Charts
        ~~~~
        cc = timeseries.control_chart(series, samples=8)
        ~~~~
        
        ### Predict
        ~~~~
        // predict (cycles)
        ~~~~
        
        ### Helper Methods
        ~~~~
        timeseries.fillna (series, filler=0)
        timeseries.mean (series)
        timeseries.standard_deviation (series)
        timeseries.variance (series)
        timeseries.matches (series, rule)
        timeseries.f_x (series, function)
        ~~~~
        
        ## Dependencies
        - [matplotlib](https://matplotlib.org/)
        - [NumPy](https://www.numpy.org)
        
        ## License
        [Apache-2.0](LICENSE)
        
        ## Credits
        - Henderson adapted from [Mark Graph's Implementation](https://markthegraph.blogspot.com/2014/06/henderson-moving-average.html) 
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
