# How to code basic psychological experiments with Python quickly

2019-06-13

A few days ago, I read an article: How to code basic psychological experiments with Python by Mathias Gatti. It advertises PsychoPy, which is a python library to create psychological paradigms, which is really just a fancy name for what is basically a very simple mini game that will usually measure reaction times or the like. In his post, he walks the reader through the code necessary for a very simple paradigm that consist of only 2 screens, the first one says "press any key to continue", and once you do, you are taken to the second screen which says "press [ n ] to continue" and "press [ q ] to exit". It will then measure your reaction time and take you back to the beginning if you press n or exit and save the results to a csv-file if you press q.

In this post I will implement exactly the same paradigm but using PyParadigm, which is a library for paradigm creation that I wrote. The advantage that I want to demonstrate is that it requires much less code to write paradigms with PyParadigm than with PsychoPy, therefore you can work more quickly. Also, less code means less bugs.

Use pip to install PyParadigm:

pip install pyparadigm


So let's jump right in. The first thing are the imports and some color codes:

import pyparadigm as pp
import pygame as pg
import pandas as pd

import time
import datetime

gray = 0x969696
black = 0
white = 0xFFFFFF


Pygame is game development library, and automatically installed with PyParadigm. For those that know Pygame: PyParadigm will create pygame.Surface objects, and can be used in conjunction with Pygame.

The next thing is the main function:

def main():
pp.init((300, 300), display_pos=(200, 200))
results = run_experiment()
outfile = 'experiment_' + str(datetime.date.today()) + '.csv'
pd.DataFrame(results, columns=["Key", "Time"]).to_csv(outfile)
print("Experiment saved as:", outfile)


pp.init() will create the window, it has a size of (300, 300) and is displayed at position (200, 200) on the screen. Then the experiment is run, and the results are stored as csv-file. So now let's take a look at run_experiment() function:

def run_experiment():
el = pp.EventListener()
keys_mappings = {pg.K_q: "q", pg.K_n: "n"}
result_key = None
results = []
while result_key != "q":
display_text("press any key to start", gray)
el.wait_for_unicode_char()
display_text("press [ q ] to exit\npress [ n ] to continue", black)
start_time = time.time()
code = el.wait_for_keys(*keys_mappings)
result_key = keys_mappings[code]
rt = time.time() - start_time
print(f"You pressed the {result_key} key on {rt:.3} seconds")
results.append((result_key, rt))
return results


In the first line of the function, an EventListener object is created, which is needed to get user input. Since the pressed letters should be used later and PyParadigm uses Pygame keycodes, we need a mapping from key-code to character, which is created in the next line. The whole thing will then run, until the subject (which means who ever executes the paradigm) will press q. We then display the first text and call el.wait_for_unicode_char() which will react to any key that represents a valid unicode character. Then, the second text is displayed and a time stamp is recorded, which will allow us to measure a reaction time after the subject pressed q or n. code = el.wait_for_keys(*keys_mappings) will then wait for the subject to press q or n and ignore all other inputs (except for ctrl-c, which will instantly quit the program), and return the code of the pressed key. Afterwards, a reaction time is computed, and in the end the results are returned.

This function is pretty similar to Mathias' implementation, but I used just one function to display text, and my event handling is a little different, as there is no need to iterate the return values of the el object.

Now for the display_text() function:

def display_text(text, bg_color):
pp.display(pp.compose(pp.empty_surface(bg_color))(
pp.Text(text, pp.Font(size=60), color=pp.rgba(white))
))


And this is all you need. The pp.compose() function will take a tree of elements, which describes the screen you want to create and return an image. This image is then displayed in the window using pp.display(). For more ambitious examples take a look at PyParadigm's documentation.

Let's compare the implementations: mine has 36 lines of code, while the PsychoPy version has 61 (after breaking lines that are longer than 80 characters). But there are also many lines that are just subject to the general logic and not to the library. If I count the lines directly involving PyParadigm I get 9 lines, and that includes one line only consisting of )) and the lines for the character mappings (which I counted because PsychoPy does not need any mapping). The PsychoPy implementation has 28 lines that are related to PsychoPy, but I didn't count the lines for the clock, since I didn't count them in my code either. Now you could say, that the PsychoPy implementation could also have had one function for drawing a screen with text, so lets count only the longer of the two rendering functions: it has 7 lines, therefore 21 lines remain. So even with the friendliest way of counting PyParadigm needs less than half the lines compared to PsychoPy, and if you do things in more of a PyParadigm way, the advantage will be even larger. Obviously, in a very small project this does not matter, but it definitely makes a difference if you write 500, 1200 or even more lines.

You can find the complete source code here.