Python: Data Logger (basic)

Example Python script to implement the Data Logger (basic)

# pymoku example: Basic Datalogger
# 
# This example demonstrates use of the Datalogger instrument to log time-series
# voltage data to a (Binary or CSV) file.
# 
# (c) 2019 Liquid Instruments Pty. Ltd.
#

from pymoku import Moku, StreamException
from pymoku.instruments import Datalogger
import time

# Connect to your Moku by its device name
# Alternatively, use Moku.get_by_serial('#####') or Moku('192.168.###.###')
m = Moku.get_by_name('Moku')

try:
 i = m.deploy_or_connect(Datalogger)

 # 100 samples per second
 i.set_samplerate(100)

 # Stop an existing log, if any, then start a new one. 10 seconds of both
 # channels to the SD Card (rather than internal storage). Use the Moku's
 # binary file format for better speed and size performance.
 i.stop_data_log()
 i.start_data_log(duration=10, use_sd=True, ch1=True, ch2=True,
 filetype='bin')

 # Track progress percentage of the data logging session
 progress = 0
 while progress < 100:
 # Wait for the logging session to progress by sleeping 0.5sec
 time.sleep(0.5)
 # Get current progress percentage and print it out
 progress = i.progress_data_log()
 print("Progress {}%".format(progress))

 # Upload the log file to the local directory
 i.upload_data_log()
 print("Uploaded log file to local directory.")

 # Denote that we are done with the data logging session so resources may be
 # cleand up
 i.stop_data_log()

except StreamException as e:
 print("Error occured: %s" % e)
finally:
 m.close()