You can use the cProfile
module to profile the performance of your code and gather information about how long different parts of your code take to execute. If you want to profile a Python script that accepts command-line arguments, you can do so by passing the script’s filename and the arguments to the cProfile
module.
Here’s a step-by-step guide on how to use cProfile
with a Python script that takes command-line arguments:
- Create your Python script: Let’s assume you have a Python script named
my_script.py
that accepts command-line arguments. Here’s a simple example of such a script:
# my_script.py
import sys
def main(arg1, arg2):
# Your code here
print(f"Argument 1: {arg1}")
print(f"Argument 2: {arg2}")
if __name__ == "__main__":
if len(sys.argv) != 3:
print("Usage: python my_script.py <arg1> <arg2>")
sys.exit(1)
arg1 = sys.argv[1]
arg2 = sys.argv[2]
main(arg1, arg2)</arg2></arg1>
Code language: Python (python)
This script takes two command-line arguments and prints them.
- Use
cProfile
to profile the script: You can usecProfile
to profile the execution ofmy_script.py
along with its command-line arguments. To do this, you’ll run your script using thecProfile
module as follows:
python -m cProfile my_script.py arg1_value arg2_value
Code language: Python (python)
Replace arg1_value
and arg2_value
with the actual values you want to pass as command-line arguments. This command will execute your script and profile its performance.
- View the profiling results: After running the
cProfile
command, you’ll see profiling results printed to the terminal. These results will include information about the time each function in your script takes to execute, the number of times each function is called, and more.
Here’s an example of what the profiling results might look like:
6 function calls in 0.001 seconds
Ordered by: standard name
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 0.001 0.001 my_script.py:4(<module>)
1 0.000 0.000 0.001 0.001 my_script.py:5(main)
1 0.000 0.000 0.001 0.001 {built-in method builtins.exec}
1 0.001 0.001 0.001 0.001 {built-in method builtins.print}
2 0.000 0.000 0.000 0.000 {method 'split' of 'str' objects}
1 0.000 0.000 0.000 0.000 {method 'write' of 'file' objects}
Argument 1: arg1_value
Argument 2: arg2_value
Code language: Python (python)
You can analyze these profiling results to identify bottlenecks or areas of your code that could be optimized for better performance.
Python cprofile with arguments for loop
If you want to profile a Python script that includes a for loop and accepts command-line arguments, you can follow a similar process as mentioned earlier. Here’s an example of how to do it:
- Create your Python script with a for loop: In this example, let’s create a script called
loop_profile.py
that takes a command-line argument to determine the number of iterations in a simple for loop.
# loop_profile.py
import sys
def perform_iterations(num_iterations):
for i in range(num_iterations):
result = i * 2
def main():
if len(sys.argv) != 2:
print("Usage: python loop_profile.py <num_iterations>")
sys.exit(1)
num_iterations = int(sys.argv[1])
perform_iterations(num_iterations)
if __name__ == "__main__":
main()</num_iterations>
Code language: Python (python)
This script accepts one command-line argument, num_iterations
, which determines how many times the perform_iterations
function will run a simple loop.
- Use
cProfile
to profile the script: You can usecProfile
to profile the execution ofloop_profile.py
along with its command-line argument:
python -m cProfile loop_profile.py 1000000
Code language: Python (python)
In this example, we are running the script with 1,000,000 iterations. Adjust the argument as needed to test different numbers of iterations.
- View the profiling results: After running the
cProfile
command, you’ll see profiling results printed to the terminal. These results will include information about the time spent in theperform_iterations
function and any other functions called within it during the loop.
You can analyze these profiling results to gain insights into the performance of your loop and identify any bottlenecks or areas for optimization within your code.
By profiling your script with different values of num_iterations
, you can assess the impact of loop size on performance and make informed decisions on how to optimize your code if necessary.
Python cprofile function with arguments
To profile a specific function with arguments using the cProfile
module in Python, you can follow these steps:
- Create your Python script containing the function you want to profile:
# my_script.py
import cProfile
def my_function(arg1, arg2):
result = arg1 + arg2
return result
if __name__ == "__main__":
cProfile.run("my_function(10, 20)")
Code language: Python (python)
In this example, we have a script with a function called my_function
that takes two arguments arg1
and arg2
.
- Use
cProfile
to profile the specific function call with arguments:
In your terminal, run the script:
python my_script.py
Code language: Python (python)
This will execute the my_function
with the provided arguments and profile its performance.
- View the profiling results:
After running the script, you’ll see profiling results printed to the terminal, which will include information about the time spent in my_function
and any other functions called within it. The output will provide details about the function’s execution time, the number of calls, and more.
Here’s an example of what the profiling results might look like:
4 function calls in 0.000 seconds
Ordered by: standard name
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 0.000 0.000 my_script.py:4(my_function)
1 0.000 0.000 0.000 0.000 {built-in method builtins.exec}
1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects}
1 0.000 0.000 0.000 0.000 {method 'format' of 'str' objects}
Code language: Python (python)
You can analyze these profiling results to understand the performance characteristics of my_function
and identify any potential areas for optimization if needed.
Read More;
- Python cProfiler Decorator [With Example]
- Python cProfile Multiprocessing With Example
- CProfileV: Making Python cProfile Usage Effortless
- Python cProfile Vs Timeit
- Python cProfile tottime vs cumtime
- What is the function of cProfile With Examples?
- What is cprofile runctx With 3 Examples
- Cprofile Visualization With Example
- Python Trace Visualization
- Managing cProfile Output Files for Python Profiling
- Python cProfile Command Line
- Python cProfile Sort