Metadata-Version: 2.1
Name: medpc2excel
Version: 2.0.1
Summary: export medpc data to excel file and generate user defined variables
Home-page: https://github.com/cyf203/medpc2excel
Author: Yifeng Cheng
Author-email: cyfhopkins@gmail.com
License: MIT
Description: # medpc2excel
        
        medpc2excel is a Python package for convert single or multiple medpc data file into Excels. 
        medpc2excel can also return a pandas DataFrame for further analysis
        
        ## Installation
        
        I recommend installing an [Anaconda](https://www.anaconda.com/distribution/) distribution of Python -- Choose Python 3.7. 
        
        Use the package manager [pip](https://pip.pypa.io/en/stable/) to install medpc2excel. Current version is 3.1.0
        
        ```bash
        pip install medpc2excel
        ```
        
        To upgrade medpc2excel (package here), run the following in the environment:
        ```bash
        pip install medpc2excel --upgrade
        ```
        ## Version updating note
        Add data explorer to visualize timestampe data
        
        ## Configure *.MPC file
        
        Please include a medpc protocol file (*.MPC) that you used for behavior task.
        The file name of this MPC file should be the same as in the medpc data file.
        The medpc2excel will open the medpc data file and automatically search the used *.MPC file in the same directory.
        In *.MPC file, please explicitly declare each array as below:
        ```text
        <... your MPC code...>
        
            DIM C =9999  \ Levertype                     
            DIM D =9999  \ PelHLON                       
            DIM E =9999  \ PelHLOFF   
            
        <... your MPC code ...>
        ```
        
        ## Running medpc2excel
        
        The most quickest way to start is to open the GUi from a command line terminal in anaconda cmd prompt:
        
        ```
        python -m medpc2excel
        ```
        
        You also can import this module and use the function called medpc_read as following
        ```python
        from medpc2excel import medpc_read
        
        f = <file path>
        
        ts_df, log = medpc_read(f, override = True, replace = False) # return a timestamp dataframe and a log string
        ```
        
        Please download the  ```Example``` folder to your local disk and run the ```medpc2excel_example.py``` to give a try.
        
        ## Contributing
        
        Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. 
        Please make sure to update tests as appropriate
        
        ## Dependencies 
        
        Pandas\
        Numpy\
        dill\
        openpyxl
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
