Python cProfile Label [Explained]

You can use the cProfile module to profile the performance of your code and identify bottlenecks. To add labels to the profiling output, you can use the function with the -s option. Here’s how you can do it:

import cProfile

def my_function():
    # Your code here

if __name__ == "__main__":
    label = "MyProfilingLabel"  # Replace with your desired label'my_function()', sort='cumulative', label=label)
Code language: Python (python)

In this example, you would replace my_function() with the code you want to profile. The function is used to profile the my_function() and you can specify a label using the label parameter.

After running this script, you’ll get a profiling report that includes the specified label:

         4 function calls in 0.000 seconds

   Ordered by: cumulative time, descending

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1    0.000    0.000    0.000    0.000 {built-in method builtins.exec}
        1    0.000    0.000    0.000    0.000 <string>:1(<module>)
        1    0.000    0.000    0.000    0.000
        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}
Code language: Python (python)

In this output, you can see the label you specified in the filename:lineno(function) column, in this case, it would be "" with the label you set. This can help you identify which part of your code was profiled.

Remember to replace "" with the actual filename and line number where your function is defined in your code.

Read More;

  • Abdullah Walied Allama

    Abdullah Walied Allama is a driven programmer who earned his Bachelor's degree in Computer Science from Alexandria University's Faculty of Computer and Data Science. He is passionate about constructing problem-solving models and excels in various technical skills, including Python, data science, data analysis, Java, SQL, HTML, CSS, and JavaScript.

Leave a Comment