In Python data visualization, scheduling periodic jobs can be accomplished using libraries like `schedule` or `APScheduler`. These tools allow you to automate tasks at regular intervals, enabling you to update your visualizations or data analyses without manual intervention. Below is an example of how to use the `schedule` library for this purpose.
import schedule
import time
def job():
print("Generating data visualization...")
# Schedule the job every 10 seconds
schedule.every(10).seconds.do(job)
while True:
schedule.run_pending()
time.sleep(1)
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