Python/Numpy error: NULL result without error in PyObject_Call
Tag : python , By : lonehunter01
Date : March 29 2020, 07:55 AM
will help you It appears that this may have been an error from using the 32-bit version of NumPy and not the 64 bit. For whatever reason, though the program has no problem keeping the array in memory, it trips up when writing the array to a file if the number of elements in the array is greater than 2^32.
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python+numpy: why does numpy.log throw an attribute error if its operand is too big?
Date : March 29 2020, 07:55 AM
will be helpful for those in need The result of math.factorial(21) is a Python long. numpy cannot convert it to one of its numeric types, so it leaves it as dtype=object. The way that unary ufuncs work for object arrays is that they simply try to call a method of the same name on the object. E.g. np.log(np.array([x], dtype=object)) <-> np.array([x.log()], dtype=object)
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python numpy MKL ERROR
Date : March 29 2020, 07:55 AM
hop of those help? There seems to be no answer to that. The best I can do is provide the link to my bug report to ActiveState which is now being looked into.
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I am trying to import numpy for use in a Python script but I get the error "No module named numpy"
Date : March 29 2020, 07:55 AM
This might help you Do you have pip installed? That would generally be the best way to install it. With pip easy_install http://www.lfd.uci.edu/~gohlke/pythonlibs/2kgjgnai/numpy-MKL-1.6.2.win-amd64-py2.6.exe
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Numpy memory error with 256GB of RAM, 64-bit python, and 64-bit numpy. ulimit issue?
Date : March 29 2020, 07:55 AM
should help you out Really embarrassing. I really was running out of memory. I started top and watch all 256GB get consumed. Why I never checked that during all my investigation is a mystery to even myself. My apologies for overlooking the obvious.
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