Metadata-Version: 2.1
Name: time_series_model_basics
Version: 0.0.1
Summary: Put a description
Home-page: https://github.com/kikejimenez/time_series_model_basics/tree/master/
Author: Enrique Jimenez
Author-email: physieira@gmail.com
License: Apache Software License 2.0
Description: # Forecasting Basics
        > Generate and Plot Forecasts for Time Series Data 
        
        
        ## Install
        
        `pip install your_project_name`
        
        ## Simple Moving Average
        
        Plot a Simulated Time Series with two or  any number of Simple Moving Averages as follows:
        
        ```python
        from time_series_model_basics.moving_average import SMA
        
        df, fig = SMA(1, 4)
        
        fig.write_image("images/sma.png")
        ```
        
        <img src="https://raw.githubusercontent.com/kikejimenez/time_series_model_basics/master/nbs/images/sma.png" width="700" height="400" style="max-width: 700px">
        
        When running on a notebook you may alternatively use
        ```python
        fig.show()
        ```
        
        ## Weighted Moving Average
        
        For the case of  Weighted Moving Averages, pass the weights as lists:
        
        ```python
        from time_series_model_basics.moving_average import WMA
        
        df,fig = WMA([1,1,2],[3,2])
        df, fig = SMA(1, 4)
        
        fig.write_image("images/wma.png")
        ```
        
        <img src="https://raw.githubusercontent.com/kikejimenez/time_series_model_basics/master/nbs/images/wma.png" width="700" height="20" style="max-width: 700px">
        
        ## Simple Smoothing 
        
        Plot a Simulated Time Series with two or  any number of simple exponential smoothing as follows:
        
        ```python
        from time_series_model_basics.smoothing import SIMPLE
        
        df, fig = SIMPLE(.15, .5)
        fig.write_image("images/simple.png")
        ```
        
        <img src="https://raw.githubusercontent.com/kikejimenez/time_series_model_basics/master/nbs/images/simple.png" width="700" height="400" style="max-width: 700px">
        
        ## Double Smoothing 
        
        ```python
        from time_series_model_basics.smoothing import DOUBLE
        
        df, fig = DOUBLE(
            [.25, .3],
            [.5, .6],
        )
        fig.write_image("images/double.png")
        ```
        
        <img src="https://raw.githubusercontent.com/kikejimenez/time_series_model_basics/master/nbs/images/double.png" width="700" height="400" style="max-width: 700px">
        
Keywords: data analytics forecasting
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
