Using the griddata-function of matplotlib.mlab I'm facing some problems with memory usage. The function is called several times by the scipy.integrate.quad-function. The task manager tells me that python allocates up to ~1,8 GB memory before it crashes without an error message. I don't get why the function allocates more and more memory with every call and I guess that's the key point to the crash. Can anyone explain me why this is happening? I'm using python 2.7.9 on Windows.
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Do you run a 32bit or 64bit Windows and Python installation? 2GB seems to be the memory limit for a single process in 32bit systems, that could be the reason your code causes a crash. On [this Microsoft page](https://msdn.microsoft.com/en-us/library/windows/hardware/Dn613959(v=vs.85).aspx) you can read more. – Ian Sep 19 '16 at 11:38
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The machine is running 64bit Windows, but the Python installation is indeed 32bit. Thanks for this hint. Neverthelss I do not understand why the script is allocating so much memory. I could trace the problem to the griddata function, but I have no clue why it is allocating so much memory. – Frettchen Sep 19 '16 at 11:54