medpc2excel 3.10.0

export medpc data to excel file and generate user defined variables

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 distribution of Python -- Choose Python >=3.7.

Use the package manager pip to install medpc2excel. Current version is 3.10.0. It now allows to read both "*.txt" and non-extension files. Fix the bug that read unexisting array from data file. Remove mplcursor. The installation is no longer depended on mplcursor.

pip install medpc2excel

To upgrade medpc2excel (package here), run the following in the environment:

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:

<... 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

from medpc2excel.medpc_read 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
mplcursors
openpyxl