The memory-profiler module is a Python library used for profiling memory usage of a program. It provides insights into how much memory is consumed by different parts of your code, helping to identify memory leaks and optimize memory usage.
1. Installation
You can install the memory-profiler module using pip:
pip install memory-profiler
2. Basic Usage
Here is how you can use memory-profiler to profile a Python function:
from memory_profiler import profile
@profile
def my_function():
a = [1] * (10**6) # Allocate a list of 1 million integers
b = [2] * (2 * 10**7) # Allocate a larger list
del b # Free the larger list
if __name__ == "__main__":
my_function()
3. Command-Line Interface
You can also use memory-profiler from the command line to profile a script. For example:
python -m memory_profiler my_script.py
4. Profiling Specific Lines
To profile specific lines of a function, use the @profile decorator, as shown in the basic usage example. You can also use the mprof command for detailed memory profiling over time:
mprof run my_script.py
mprof plot
5. Conclusion
The memory-profiler module is a valuable tool for analyzing and optimizing memory usage in Python programs. By profiling your code, you can identify memory bottlenecks and improve the efficiency of your applications.
