I&#39;ve been using cProfile to profile my code, and it&#39;s been working great. I also use [gprof2dot.py][1] to visualize the results (makes it a little clearer).

However, cProfile (and most other Python profilers I&#39;ve seen so far) seem to only profile at the function-call level. This causes confusion when certain functions are called from different places - I have no idea if call #1 or call #2 is taking up the majority of the time. This gets even worse when the function in question is six levels deep, called from seven other places.

How do I get a line-by-line profiling?

Instead of this:

    function #12, total time: 2.0s

I&#39;d like to see something like this:

    function #12 (called from somefile.py:102) 0.5s
    function #12 (called from main.py:12) 1.5s

cProfile does show how much of the total time &quot;transfers&quot; to the parent, but again this connection is lost when you have a bunch of layers and interconnected calls.

Ideally, I&#39;d love to have a GUI that would parse through the data, then show me my source file with a total time given to each line. Something like this:

    main.py:

    a = 1 # 0.0s
    result = func(a) # 0.4s
    c = 1000 # 0.0s
    result = func(c) # 5.0s

Then I&#39;d be able to click on the second &quot;func(c)&quot; call to see what&#39;s taking up time in that call, separate from the &quot;func(a)&quot; call. Does that make sense?

  [1]: http://code.google.com/p/jrfonseca/wiki/Gprof2Dot



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How can I profile Python code line-by-line?