ButtonUI.py File Reference

Created on Thu Jan 28 08:08:33 2021. More...

Functions
def	ButtonUI.processData (set1, set2)
	Data Processing function More...

Variables
bool	ButtonUI.firstFlag = True
	Define flag to determine whether initial print statement should show.
list	ButtonUI.Data = []
	Define an empty list to hold data during parsing in processData()
	ButtonUI.timeArray = array.array('i')
	Define an empty array to hold time data received from MCU through serial communication.
	ButtonUI.adcArray = array.array('i')
	Define an empty array to hold received voltage data corresponding to time in time array.
	ButtonUI.voltageArray = array.array('f')
	Define an empty array to hold voltage data after being converted from ADC counts to volts.
	ButtonUI.checkValid = None
	Define variable to hold signal that verifies whether data collection was successful or not.
	ButtonUI.port
	ButtonUI.baudrate
	ButtonUI.timeout

Detailed Description

Created on Thu Jan 28 08:08:33 2021.

Author

Miles Young

Date

02/3/2021

Front-end user interface for button response data collection
This front-end program is used to interface with a stm32 NUCLEO L476RG microcontroller in order to measure the response of a built-in button. The user is prompted to press 'g' on their keyboard to signify that they wish for data collection to be enabled, which is then forwarded to the NUCLEO via serial communication. They are then prompted to press the built-in button on the NUCLEO, during which time the NUCLEO collects data relating the ADC count of voltage for the button to time. The program then receives this data from the NUCLEO via serial communication, parses it, and plots it. Finally, the program exits, which displays the plots.

Function Documentation

processData()

def ButtonUI.processData	(		set1,
			set2
	)

Data Processing function

This method is responsible for reading and interpreting the data sent in string format from the encoder. It strips return and newline statements from strings, splits according to the comma between time and position values, saves the newly combed data as a .csv file, and populates a two arrays which can then be plotted.