Metadata-Version: 2.1
Name: forecastability
Version: 0.0.6
Summary: forecastability analysis
Home-page: https://github.com/jingw2/solver/tree/master/forecastability
Author: Jing Wang
Author-email: jingw2@foxmail.com
License: MIT
Description: # Forecastability Analysis 
        
        This is a tool to implement forecastability analysis, including calculating:
        * Frequency 
        * Stability 
        * Periodicity
        * Percent of Products that single customer occupies over 50% demands
        
        ## Input Data
        | columname  | type  | note  | 
        |---|---|---|
        | date  | string  | yyyy-mm-dd or yyyy/mm/dd  |
        | sku_code  | string   | code of SKU  |
        | customer_code  | string  | code of customer   |
        | qty  | float  | demand quantity  |
        
        
        ## Usage:
        ```python
        import forecastability
        fa = forecastability.Forecastability(data, tm="date")
        # calculate frequency
        fa.frequency()
        # calculate stability
        fa.stability()
        # calculate periodicity
        fa.periodicity()
        # calculate single customer percent
        fa.single_customer_percent()
        # render forecastability report 
        fa.render("forecastability_report.html")
        ```
        
        ## Reference:
        [1] [时间周期序列周期性挖掘](https://wenku.baidu.com/view/8ad300afb8f67c1cfad6b87a.html) 
        
        [2] [供应链三道防线：需求预测，库存计划，供应链执行](https://book.douban.com/subject/30223850/) 
        
        [3] [Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: principles and practice. OTexts.](https://otexts.com/fpp2/)
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
