I am trying to implement a "busy" status indicator when using Python Pandas read_csv method to upload data from csv files. This is particularly useful when uploading large csv files that keep the terminal busy until data is loaded into the memory. However, I can't get any simple solution to work with Pandas. A simple cursor indicator such as this one that I use would be very useful if it can be integrated in the read_csv method.
import itertools
import sys
busy = itertools.cycle([' \ ', ' / '])
sys.stdout.write(next(busy))
sys.stdout.flush()
sys.stdout.write('\b\b\b')
Any suggestions on implementing such a solution for the read_csv method in pandas?
CodePudding user response:
You could use some kind of "monitor" thread. Something like this:
import itertools
from threading import Thread
import time
import sys
BUSY = True
def busy():
b = itertools.cycle([' \ ', ' / '])
while BUSY:
sys.stdout.write(next(b))
sys.stdout.flush()
sys.stdout.write('\b\b\b')
time.sleep(0.2)
t = Thread(target=busy)
t.start()
# sleep here emulates your time-consuming operation
time.sleep(5)
BUSY = False
t.join()
Your could also consider using events. I offer this only as a very simplistic approach