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How to find the most common element in a list with Python?

Sometimes, we want to find the most common element in a list with Python.

In this article, we’ll look at how to find the most common element in a list with Python.

How to find the most common element in a list with Python?

To find the most common element in a list with Python, we can use the max function with the key argument.

For instance, we write

def most_common(lst):
    return max(set(lst), key=lst.count)

to create the most_common function that calls max with the list lst items in a set.

And the key argument is set to lst.count to get the count of each item in the list.

Conclusion

To find the most common element in a list with Python, we can use the max function with the key argument.

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How to repeat function every n seconds with Python threading.Timer?

Sometimes, we want to repeat function every n seconds with Python threading.Timer.

In this article, we’ll look at how to repeat function every n seconds with Python threading.Timer.

How to repeat function every n seconds with Python threading.Timer?

To repeat function every n seconds with Python threading.Timer, we can create a Thread subclass to run the code that we want to repeat.

For instance, we write

class MyThread(Thread):
    def __init__(self, event):
        Thread.__init__(self)
        self.stopped = event

    def run(self):
        while not self.stopped.wait(0.5):
            print("my thread")
            # ...

to create the MyThread class which is a subclass of the Thread class.

Then run method is run when the thread is started.

We run the repeated code with

while not self.stopped.wait(0.5):
   print("my thread")
   # ...

Then we write

stop_flag = Event()
thread = MyThread(stop_flag)
thread.start()
# ...
stop_flag.set()

to create the stop_flag with the Event class.

We create the thread with

thread = MyThread(stop_flag)

Then we start the thread with

thread.start()

And we stop the thread with

stop_flag.set()

Conclusion

To repeat function every n seconds with Python threading.Timer, we can create a Thread subclass to run the code that we want to repeat.

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How to set y-axis limit in Python matplotlib?

Sometimes, we want to set y-axis limit in Python matplotlib.

In this article, we’ll look at how to set y-axis limit in Python matplotlib.

How to set y-axis limit in Python matplotlib?

To set y-axis limit in Python matplotlib, we can use the set_xlim and set_ylim methods.

For instance, we write

ax = plt.gca()
ax.set_xlim([xmin, xmax])
ax.set_ylim([ymin, ymax])

to get the axes of the plot with

ax = plt.gca()

Then we write

ax.set_xlim([xmin, xmax])
ax.set_ylim([ymin, ymax])

to set the limits of the x and y axes respectively with the set_xlim and set_ylim methods.

Conclusion

To set y-axis limit in Python matplotlib, we can use the set_xlim and set_ylim methods.

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How to use Python requests to fake a browser visit with a generated user agent?

Sometimes, we want to use Python requests to fake a browser visit with a generated user agent.

In this article, we’ll look at how to use Python requests to fake a browser visit with a generated user agent.

How to use Python requests to fake a browser visit with a generated user agent?

To use Python requests to fake a browser visit with a generated user agent,, we can use the fake_useragent library.

To install it, we run

pip install fake-useragent

Then we use it by writing

from fake_useragent import UserAgent
import requests


ua = UserAgent()
header = {"User-Agent": str(ua.chrome)}
url = "https://www.example.com"
html_content = requests.get(url, headers=header)
print(html_content)

We create the UserAgent object with

ua = UserAgent()

Then we get the user agent string we want from the ua object.

Next, we call requests.get to make a request to the url with the headers.

The headers is a dict with the value of the User-Agent request header.

Conclusion

To use Python requests to fake a browser visit with a generated user agent,, we can use the fake_useragent library.

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How to make a Python script wait for a pressed key?

Sometimes, we want to make a Python script wait for a pressed key.

In this article, we’ll look at how to make a Python script wait for a pressed key.

How to make a Python script wait for a pressed key?

To make a Python script wait for a pressed key, we can use the input function.

For instance, we write

input("Press Enter to continue...")

to call input with the prompt text to wait for the user to press enter before continuing the script.

Conclusion

To make a Python script wait for a pressed key, we can use the input function.