Hàm sleep trong Python
While running a Python program, there might be times when you'd like to delay the execution of the program for some seconds. Show
The Python time module has a built-in function called With the sleep() function, you can get more creative in your Python projects because it lets you create delays that might go a long way in helping you bring in certain functionalities. In this article, you will learn how to use the Just note that delays created with Basic Syntax of time.sleep()To use After importing the 0 function, specify the number of seconds you want the delay to run inside the parenthesis.
Basic Example of time.sleep()In the code snippet below, I put a delay of 5 seconds between the 2 print statements, so the second print statement will run 5 seconds after the first print statement runs:
You can also specify the delay in floating-point numbers:
More Examples of time.sleep()You can get more creative with delays created by time.sleep() by combining it with 2, another built-in function from the time module that stands for “current time”.
You can also use time.sleep() to create multiple delays while looping through iterable data such as list or tuple. The example below shows how I did it with a list:
The output: ConclusionThis article took you through how to use the
Keep coding! ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT Web developer and technical writer focusing on frontend technologies. If you read this far, tweet to the author to show them you care. Tweet a thanks Learn to code for free. freeCodeCamp's open source curriculum has helped more than 40,000 people get jobs as developers. Get started Have you ever needed to make your Python program wait for something? Most of the time, you’d want your code to execute as quickly as possible. But there are times when letting your code sleep for a while is actually in your best interest. For example, you might use a Python 5 call to simulate a delay in your program. Perhaps you need to wait for a file to upload or download, or for a graphic to load or be drawn to the screen. You might even need to pause between calls to a web API, or between queries to a database. Adding Python 5 calls to your program can help in each of these cases, and many more!In this tutorial, you’ll learn how to add Python 5 calls with:
This article is intended for intermediate developers who are looking to grow their knowledge of Python. If that sounds like you, then let’s get started! Free Bonus: Get our free "The Power of Python Decorators" guide that shows you three advanced decorator patterns and techniques you can use to write to cleaner and more Pythonic programs. Adding a Python $ python3 -m timeit -n 3 "import time; time.sleep(3)" 3 loops, best of 5: 3 sec per loop 5 Call With $ python3 -m timeit -n 3 "import time; time.sleep(3)" 3 loops, best of 5: 3 sec per loop 8Python has built-in support for putting your program to sleep. The 1 module has a function that you can use to suspend execution of the calling thread for however many seconds you specify.Here’s an example of how to use 8:>>>
If you run this code in your console, then you should experience a delay before you can enter a new statement in the REPL. Note: In Python 3.5, the core developers changed the behavior of 8 slightly. The new Python 5 system call will last at least the number of seconds you’ve specified, even if the sleep is interrupted by a signal. This does not apply if the signal itself raises an exception, however.You can test how long the sleep lasts by using Python’s 6 module:
Here, you run the 6 module with the 8 parameter, which tells 6 how many times to run the statement that follows. You can see that 6 ran the statement 3 times and that the best run time was 3 seconds, which is what was expected.The default number of times that 6 will run your code is one million. If you were to run the above code with the default 8, then at 3 seconds per iteration, your terminal would hang for approximately 34 days! The 6 module has several other command line options that you can check out in its .Let’s create something a bit more realistic. A system administrator needs to know when one of their websites goes down. You want to be able to check the website’s status code regularly, but you can’t query the web server constantly or it will affect performance. One way to do this check is to use a Python 5 system call:
Here you create 5, which takes a URL as its argument. The function then attempts to open that URL with 6. If there’s an 7 or 8, then the program catches it and prints out the error. (In a live environment, you would log the error and probably send out an email to the webmaster or system administrator.)If no errors occur, then your code prints out that all is well. Regardless of what happens, your program will sleep for 60 seconds. This means that you only access the website once every minute. The URL used in this example is bad, so it will output the following to your console once every minute:
Go ahead and update the code to use a known good URL, like 9. Then you can re-run it to see it work successfully. You can also try to update the code to send an email or log the errors. For more information on how to do this, check out Sending Emails With Python and Logging in Python.Remove adsAdding a Python $ python3 -m timeit -n 3 "import time; time.sleep(3)" 3 loops, best of 5: 3 sec per loop 5 Call With DecoratorsThere are times when you need to retry a function that has failed. One popular use case for this is when you need to retry a file download because the server was busy. You usually won’t want to make a request to the server too often, so adding a Python 5 call between each request is desirable.Another use case that I’ve personally experienced is where I need to check the state of a user interface during an automated test. The user interface might load faster or slower than usual, depending on the computer I’m running the test on. This can change what’s on the screen at the moment my program is verifying something. In this case, I can tell the program to sleep for a moment and then recheck things a second or two later. This can mean the difference between a passing and failing test. You can use a decorator to add a Python 5 system call in either of these cases. If you’re not familiar with decorators, or if you’d like to brush up on them, then check out Primer on Python Decorators. Let’s look at an example:
5 is your decorator. It accepts a 4 value and the number of times it should 5, which defaults to 3. Inside 5 is another function, 7, which accepts the decorated function.Finally, the innermost function 8 accepts the arguments and keyword arguments that you pass to the decorated function. This is where the magic happens! You use a 9 loop to retry calling the function. If there’s an exception, then you call 8, increment the 1 counter, and try running the function again.Now rewrite 5 to use your new decorator:
Here, you decorate 5 with a 5 of 3 seconds. You’ve also removed the original 9 loop, as well as the old call to 6. The decorator now takes care of this.One other change you’ve made is to add a 7 inside of the exception handling blocks. This is so that the decorator will work properly. You could write the decorator to handle these errors, but since these exceptions only apply to 6, you might be better off keeping the decorator the way it is. That way, it will work with a wider variety of functions.Note: If you’d like to brush up on exception handling in Python, then check out Python Exceptions: An Introduction. There are a few improvements that you could make to your decorator. If it runs out of retries and still fails, then you could have it re-raise the last error. The decorator will also wait 3 seconds after the last failure, which might be something you don’t want to happen. Feel free to try these out as an exercise! Adding a Python $ python3 -m timeit -n 3 "import time; time.sleep(3)" 3 loops, best of 5: 3 sec per loop 5 Call With ThreadsThere are also times when you might want to add a Python 5 call to a thread. Perhaps you’re running a migration script against a database with millions of records in production. You don’t want to cause any downtime, but you also don’t want to wait longer than necessary to finish the migration, so you decide to use threads.Note: Threads are a method of doing concurrency in Python. You can run multiple threads at once to increase your application’s throughput. If you’re not familiar with threads in Python, then check out An Intro to Threading in Python. To prevent customers from noticing any kind of slowdown, each thread needs to run for a short period and then sleep. There are two ways to do this:
Let’s start by looking at 8.Remove adsUsing $ python3 -m timeit -n 3 "import time; time.sleep(3)" 3 loops, best of 5: 3 sec per loop 8The Python shows a nice example that uses 8. Python’s 7 module is thread-safe, so it’s a bit more useful than 8 statements for this exercise. The following code is based on this example:
Here, you use Python’s 3 module to create two threads. You also create a logging object that will log the 0 to stdout. Next, you start both threads and initiate a loop to log from the main thread every so often. You use 1 to catch the user pressing Ctrl+C.Try running the code above in your terminal. You should see output similar to the following:
As each thread runs and then sleeps, the logging output is printed to the console. Now that you’ve tried an example, you’ll be able to use these concepts in your own code. Using import logging import threading import time def worker(arg): while not arg["stop"]: logging.debug("worker thread checking in") time.sleep(1) def main(): logging.basicConfig( level=logging.DEBUG, format="%(relativeCreated)6d %(threadName)s %(message)s" ) info = {"stop": False} thread = threading.Thread(target=worker, args=(info,)) thread_two = threading.Thread(target=worker, args=(info,)) thread.start() thread_two.start() while True: try: logging.debug("Checking in from main thread") time.sleep(0.75) except KeyboardInterrupt: info["stop"] = True logging.debug('Stopping') break thread.join() thread_two.join() if __name__ == "__main__": main() 2The 3 module provides an 4 that you can use like 8. However, 4 has the added benefit of being more responsive. The reason for this is that when the event is set, the program will break out of the loop immediately. With 8, your code will need to wait for the Python 5 call to finish before the thread can exit.The reason you’d want to use 9 here is because 9 is non-blocking, whereas 8 is blocking. What this means is that when you use 8, you’ll block the main thread from continuing to run while it waits for the 5 call to end. 9 solves this problem. You can read more about how all this works in Python’s .Here’s how you add a Python 5 call with 2:
In this example, you create 7 and pass it to 8. (Recall that in the previous example, you instead passed a dictionary.) Next, you set up your loops to check whether or not 9 is set. If it’s not, then your code prints a message and waits a bit before checking again. To set the event, you can press Ctrl+C. Once the event is set, 8 will return and the loop will break, ending the program.Note: If you’d like to learn more about dictionaries, then check out Dictionaries in Python. Take a closer look at the code block above. How would you pass in a different sleep time to each worker thread? Can you figure it out? Feel free to tackle this exercise on your own! Adding a Python $ python3 -m timeit -n 3 "import time; time.sleep(3)" 3 loops, best of 5: 3 sec per loop 5 Call With Async IOAsynchronous capabilities were added to Python in the 3.4 release, and this feature set has been aggressively expanding ever since. Asynchronous programming is a type of parallel programming that allows you to run multiple tasks at once. When a task finishes, it will notify the main thread. 2 is a module that lets you add a Python 5 call asynchronously. If you’re unfamiliar with Python’s implementation of asynchronous programming, then check out Async IO in Python: A Complete Walkthrough and Python Concurrency & Parallel Programming.Here’s an example from Python’s own documentation:
In this example, you run 4 and have it sleep for one second between two 8 calls.Here’s a more compelling example from the Coroutines and Tasks portion of the 2 documentation: 0In this code, you create a worker called 7 that takes in the number of seconds to 8 and the 9 to print out. Then, you use Python’s 00 keyword to wait for the 7 code to run. 00 is required here because 7 has been marked as an 04 function, so you can’t call it like you would a normal function.When you run this code, your program will execute 00 3 times. The code will wait for 1, 2, and 3 seconds, for a total wait time of 6 seconds. You can also rewrite the code so that the tasks run in parallel: 1Now you’re using the concept of tasks, which you can make with 06. When you use tasks in 2, Python will run the tasks asynchronously. So, when you run the code above, it should finish in 3 seconds total instead of 6.Remove adsAdding a Python $ python3 -m timeit -n 3 "import time; time.sleep(3)" 3 loops, best of 5: 3 sec per loop 5 Call With GUIsCommand-line applications aren’t the only place where you might need to add Python 5 calls. When you create a Graphical User Interface (GUI), you’ll occasionally need to add delays. For example, you might create an FTP application to download millions of files, but you need to add a 5 call between batches so you don’t bog down the server.GUI code will run all its processing and drawing in a main thread called the event loop. If you use 8 inside of GUI code, then you’ll block its event loop. From the user’s perspective, the application could appear to freeze. The user won’t be able to interact with your application while it’s sleeping with this method. (On Windows, you might even get an alert about how your application is now unresponsive.)Fortunately, there are other methods you can use besides 8. In the next few sections, you’ll learn how to add Python 5 calls in both Tkinter and wxPython.Sleeping in Tkinter 14 is a part of the Python standard library. It may not be available to you if you’re using a pre-installed version of Python on Linux or Mac. If you get an 15, then you’ll need to look into how to add it to your system. But if you install Python yourself, then 14 should already be available.You’ll start by looking at an example that uses 8. Run this code to see what happens when you add a Python 5 call the wrong way: 2Once you’ve run the code, press the button in your GUI. The button will stick down for three seconds as it waits for 5 to finish. If the application had other buttons, then you wouldn’t be able to click them. You can’t close the application while it’s sleeping, either, since it can’t respond to the close event.To get 14 to sleep properly, you’ll need to use 21: 3Here you create an application that is 400 pixels wide by 400 pixels tall. It has no widgets on it. All it will do is show a frame. Then, you call 22 where 23 is a reference to the 24 object. 21 takes two arguments:
In this case, your application will print a string to stdout after 3 seconds. You can think of 21 as the 14 version of 8, but it also adds the ability to call a function after the sleep has finished.You could use this functionality to improve user experience. By adding a Python 5 call, you can make the application appear to load faster and then start some longer-running process after it’s up. That way, the user won’t have to wait for the application to open.Sleeping in wxPythonThere are two major differences between wxPython and Tkinter:
The wxPython framework is not included with Python, so you’ll need to install it yourself. If you’re not familiar with wxPython, then check out How to Build a Python GUI Application With wxPython. In wxPython, you can use 30 to add a Python 5 call: 4Here, you subclass 32 directly and then call 30. This function takes the same parameters as Tkinter’s 21:
When you run this code, you should see a small blank window appear without any widgets. After 4 seconds, you’ll see the string 35 printed to stdout.One of the benefits of using 30 is that it’s thread-safe. You can use this method from within a thread to call a function that’s in the main wxPython application.Remove adsConclusionWith this tutorial, you’ve gained a valuable new technique to add to your Python toolbox! You know how to add delays to pace your applications and prevent them from using up system resources. You can even use Python 5 calls to help your GUI code redraw more effectively. This will make the user experience much better for your customers!To recap, you’ve learned how to add Python 5 calls with the following tools:
Now you can take what you’ve learned and start putting your code to sleep! Mark as Completed Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Using sleep() to Code a Python Uptime Bot 🐍 Python Tricks 💌 Get a short & sweet Python Trick delivered to your inbox every couple of days. No spam ever. Unsubscribe any time. Curated by the Real Python team. Send Me Python Tricks » About Mike Driscoll Mike has been programming in Python for over a decade and loves writing about Python! » More about MikeEach tutorial at Real Python is created by a team of developers so that it meets our high quality standards. The team members who worked on this tutorial are: Aldren Geir Arne Jaya Jon Joanna Master Real-World Python Skills With Unlimited Access to Real Python Join us and get access to thousands of tutorials, hands-on video courses, and a community of expert Pythonistas: Level Up Your Python Skills » Master Real-World Python Skills Join us and get access to thousands of tutorials, hands-on video courses, and a community of expert Pythonistas: Level Up Your Python Skills » What Do You Think? Rate this article: Tweet Share Share EmailWhat’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment below and let us know. Commenting Tips: The most useful comments are those written with the goal of learning from or helping out other students. and get answers to common questions in our support portal. |