建议使用哪个Python内存分析器?

问题描述

我想知道我的Python应用程序的内存使用情况，特别是想知道哪些代码块/部分或对象消耗了最多的内存.Google搜索显示商用的是 Python内存验证程序(仅Windows). >

开放源代码是 PySizer 和堆.

我没有尝试过任何人，所以我想知道哪一个是最好的考虑因素:

1. 提供大多数详细信息.

2. 我不必对我的代码做最少的改动，也可以不做任何改动.

解决方案

Heapy 很简单使用.在代码中的某些时候，您必须编写以下代码:

from guppy import hpy
h = hpy()
print h.heap()

这会为您提供如下输出:

Partition of a set of 132527 objects. Total size = 8301532 bytes.
Index  Count   %     Size   % Cumulative  % Kind (class / dict of class)
0  35144  27  2140412  26   2140412  26 str
1  38397  29  1309020  16   3449432  42 tuple
2    530   0   739856   9   4189288  50 dict (no owner)

您还可以从哪里找到对象的引用，并获取有关该对象的统计信息，但是在某种程度上，有关该文档的文档很少.

还有一个用Tk编写的图形浏览器.

I want to know the memory usage of my Python application and specifically want to know what code blocks/portions or objects are consuming most memory.Google search shows a commercial one is Python Memory Validator (Windows only).

And open source ones are PySizer and Heapy.

I haven't tried anyone, so I wanted to know which one is the best considering:

1. Gives most details.

2. I have to do least or no changes to my code.

解决方案

Heapy is quite simple to use. At some point in your code, you have to write the following:

from guppy import hpy
h = hpy()
print h.heap()

This gives you some output like this:

Partition of a set of 132527 objects. Total size = 8301532 bytes.
Index  Count   %     Size   % Cumulative  % Kind (class / dict of class)
0  35144  27  2140412  26   2140412  26 str
1  38397  29  1309020  16   3449432  42 tuple
2    530   0   739856   9   4189288  50 dict (no owner)

You can also find out from where objects are referenced and get statistics about that, but somehow the docs on that are a bit sparse.

There is a graphical browser as well, written in Tk.

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