Reporting

The output can be redirected to a log file by passing IO stream as parameter to the decorator like @profile(stream=fp)

>>> fp=open('memory_profiler.log','w+')
>>> @profile(stream=fp)
>>> def my_func():
    ...     a = [1] * (10 ** 6)
    ...     b = [2] * (2 * 10 ** 7)
    ...     del b
    ...     return a

For details refer: examples/reporting_file.py

Reporting via logger Module:

Sometime it would be very convenient to use logger module specially when we need to use RotatingFileHandler.

The output can be redirected to logger module by simply making use of LogFile of memory profiler module.

>>> from memory_profiler import LogFile
>>> import sys
>>> sys.stdout = LogFile('memory_profile_log')

Customized reporting:

Sending everything to the log file while running the memory_profiler could be cumbersome and one can choose only entries with increments by passing True to reportIncrementFlag, where reportIncrementFlag is a parameter to LogFile class of memory profiler module.

>>> from memory_profiler import LogFile
>>> import sys
>>> sys.stdout = LogFile('memory_profile_log', reportIncrementFlag=False)

For details refer: examples/reporting_logger.py