Memory Profiler
This is a python module for monitoring memory consumption of a process as well as line-by-line analysis of memory consumption for python programs.
Installation
To install through easy_install or pip:
$ easy_install -U memory_profiler # pip install -U memory_profiler
To install from source, download the package, extract and type:
$ python setup.py install
Usage
The line-by-line profiler is used much in the same way of the line_profiler: you must first decorate the function you would like to profile with @profile:
@profile
def my_func():
a = np.zeros((100, 100))
b = np.zeros((1000, 1000))
c = np.zeros((10000, 1000))
return a, b, c
then execute the code passing the option “-m memory_profiler” to the python interpreter to load the memory_profiler module and print to stdout the line-by-line analysis. If the file name was example.py, this would result in:
$ python -m memory_profiler example.py
Output will follow:
Line # Mem usage Line Contents
===================================
3 @profile
4 14.19 MB def my_func():
5 14.27 MB a = np.zeros((100, 100))
6 21.91 MB b = np.zeros((1000, 1000))
7 98.20 MB c = np.zeros((10000, 1000))
8 98.20 MB return a, b, c
Bugs & wishlist
Maybe also print the increment in memory consumption.
Development
Latest sources are available from github:
License
Simplified BSD
2 maintainers
Metadata
2 maintainers
Release files for memory-profiler 0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| memory_profiler-0.9.tar.gz | 4.8 kB | Details |
Release files / memory_profiler-0.9.tar.gz
| Download URL | memory_profiler-0.9.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
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