DIY-NAMIC Data Analysis

This is the third repository, in a three-part series, which contains scripts for analysis of data collected in DIY-NAMIC boxes using behavioral paradigms from second repository.

General Notes on Code Organization

Code is organized sequentially (Steps 0 through x)
Actual scripts to run are labelled with the suffix "Function_Calls"
Scripts with sub-alphabets (ex. 1a) contain functions that are used by the Function_Calls scripts
All GUI-related functions are contained within Tkinter_Selection.py script.

How to Run

IMPORTANT NOTE! Use pandas=0.25 to run the data analysis codes!! - There are some changes between 0.25 and 1.0 that crash the codebase if using pandas>=1.0

Step0: Concatenate_all_txt_files (Raw_Processing_Files)

Input: Selected Folder (raw processing files)
Output: CSV file with aggregated box data
- title format: 0228 P5_concat.csv

Step1: Parsing csv files into different timeframes

Input: aggregated csv file ex) 0228 P5_concat.csv
Output: ALL metric parameters for SELECTED day
- title format: M0228_0229_18-06_P5.csv
  (M-startdate_enddate_starttime-endtime_paradigm) 'M' stands for metric

After getting the metrics for each day, move the files into a single folder for the next step.

Step2: Make a summary excel sheet (different parameters saved into different sheets)

Input: Selected Folder (metrics for each day)
Output: Summary Excel Sheet
- title format: Group5_dark_Summary.xlsx

Plotting

Before Plotting:

Make sure to update xBasic_Group_Info.py file with appropriate information on control group / experimental group / paradigm cutoff date list etc.

Different Plottings

1.Weight Plotting:
- Input: Weight File (csv)
- Output:
- Notes: Make sure to add appropriate xlabels / ylabels / title etc.
2.Parameter Plotting
- Input: Summary excel file (contains all parameters in separate sheets)
- Output:
- Notes: Make sure to add appropriate xlabels / ylabels / title etc.
3.Latency Plotting
- Input:
- Output:
- Notes: Make sure to add appropriate xlabels / ylabels / title etc.

Development

What to Contribute

Bugs or Errors in Code
Typos or grammar mistakes

Feel free to open an issue or submit a pull request or to email me with your contributions to [email protected].

Contributions and Thanks

A big thank you to the various members of the stackoverflow community and the Python core developers for providing the foundation!

Contact

For any questions or issues, contact Jun Ho Lee at [email protected] or Katherine Nautiyal at [email protected].

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