python programming

Active today
Viewed 13 times

I would really appreciate if anyone could give an advice or directions on how to start and stop data logging for accelerometer MPU6050 with a button press. So far I have a script that I start manually through raspberry pi os. So when I test the script it’s working and collecting data in the csv file with no problems. The only thing that I need, if I use accelerometer outside for testing, is to start data logging on a button press and to stop data logging when the button is pressed again. The code that I currently use is below.

thank you,


Read Gyro and Accelerometer by Interfacing Raspberry Pi with MPU6050 using Python

import os
import argparse
import datetime
from csv import DictWriter
# SMBus module of I2C
from time import sleep, time

import smbus

# MPU6050 Registers and their Address
# 0 for older version boards
BUS_NO = 1
PWR_MGMT_1 = 0x6B
ADDRESS_MAP = {'gx': 0x43, 'gy': 0x45, 'gz': 0x47, 'ax': 0x3B, 'ay': 0x3D, 'az': 0x3F}
VALUE_NORMS = {'gx': 131., 'gy': 131., 'gz': 131., 'ax': 16384., 'ay': 16384., 'az': 16384.}
OUT_DIR = 'output'

def mpu_init():
    # write to sample rate register
    bus.write_byte_data(DEVICE_ADDRESS, SMPLRT_DIV, 7)

    # write to power management register
    bus.write_byte_data(DEVICE_ADDRESS, PWR_MGMT_1, 1)

    # write to Configuration register
    bus.write_byte_data(DEVICE_ADDRESS, CONFIG, 0)

    # write to Gyro configuration register
    bus.write_byte_data(DEVICE_ADDRESS, GYRO_CONFIG, 24)

    # write to interrupt enable register
    bus.write_byte_data(DEVICE_ADDRESS, INT_ENABLE, 1)

def read_raw_data(addr):
    # accelerometer and gyro value are 16-bit
    high = bus.read_byte_data(DEVICE_ADDRESS, addr)
    low = bus.read_byte_data(DEVICE_ADDRESS, addr+1)

    # concatenate higher and lower value
    value = ((high << 8) | low)
    # to get signed value from mpu6050
    if value > 32768:
        value = value - 65536
    return value

if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('--filename', type=str, help='Name of the file to write data to')
        '--log', default=list(ADDRESS_MAP.keys()), nargs='+', choices=list(ADDRESS_MAP.keys()),
        help='What parameters you would like to log from the MPU'
    parser.add_argument('--hertz', type=int, default=100, help='Sampling rate from the MPU')
    args = vars(parser.parse_args())

    bus = smbus.SMBus(BUS_NO)

    if not os.path.isdir(OUT_DIR):

    sleep_time = 1 / args['hertz']
    if args['filename'] is not None:
        output_path = os.path.join(OUT_DIR, f'{args["filename"]}.csv')
        output_path = os.path.join(OUT_DIR, f'{datetime.datetime.now().strftime("%Y%m%d_%H%M%S")}.csv')
    log_keys = sorted(args['log'])

    print(f'Outputting data to {output_path:s}')
    print(f'Logging at a sampling rate of {args["hertz"]:d} Hz')
    print(f'Logging: {log_keys}')

    start = time()
    with open(output_path, 'w', newline='') as fp:
        csv_writer = DictWriter(fp, delimiter=',', fieldnames=log_keys + ['time(ms)'])
        while True:
                **{key: f'{read_raw_data(ADDRESS_MAP[key]) / VALUE_NORMS[key]:.3f}' for key in log_keys},
                **{'time(ms)': f'{(time() - start) * 1000:.1f}'}
 New contributor
  • Hi @Maksym Kepskyy, Welcome and nice to meet you. Ah, let me see. Can I “simplify” your specific question to a bit generic, like this? Suppose I have a “printing” program that repeatedly prints “Hello World” every second. Now I want to have another “master” “button” program which reads a button and starts or stops a “slave” program, perhaps the printing program. Now say, if I press button once, the printing starts, and if I press button again, printing stops. If you think my simplified, generic question solves your complicated, “accelero + csv” question, I can try to answer. Cheers. – tlfong01 5 hours ago    
  • This seems to be a general programming question, i.e. not specific to the Pi. – joan 2 hours ago

Categories: Uncategorized

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.

%d bloggers like this: