numpy.linalg interference with matplot.lib
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Dear numpy community, I am having an issue with numpy.linalg where a matrix inversion of a complex matrix using numpy.linalg.inv results in containing nan values when a plot of any kind was performed beforehand by matplotlib. For the specific details on the problem and what I have tried already see the stackoverflow post I started a month ago: https://stackoverflow.com/questions/65183984/why-does-plotting-something-wit... I know that this problem has to do with some specifics of the maschine I am using, as it does not happen on other maschines I tried. However it still appears after rebuilding my entire python enviroment. Hence I ran out of options appart from setting up my whole PC from scratch again, which I would rather not do. Is some problem like this known in the community? Has anyone an idea at which other specifications of my system it might be worth taking a look at? Thanks a lot in advance! Best regards, Frederix96
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Are you using NumPy <= 1.19.3 and WIndows 2004 or 20H2? If so, you should upgrade to NumPy 1.19.5. Kevin On Mon, Jan 11, 2021 at 10:51 AM Frederix96 <frederix.noel@gmail.com> wrote:
Dear numpy community,
I am having an issue with numpy.linalg where a matrix inversion of a complex matrix using numpy.linalg.inv results in containing nan values when a plot of any kind was performed beforehand by matplotlib. For the specific details on the problem and what I have tried already see the stackoverflow post I started a month ago:
https://stackoverflow.com/questions/65183984/why-does-plotting-something-wit...
I know that this problem has to do with some specifics of the maschine I am using, as it does not happen on other maschines I tried. However it still appears after rebuilding my entire python enviroment. Hence I ran out of options appart from setting up my whole PC from scratch again, which I would rather not do.
Is some problem like this known in the community?
Has anyone an idea at which other specifications of my system it might be worth taking a look at?
Thanks a lot in advance!
Best regards,
Frederix96
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participants (2)
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Frederix96
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Kevin Sheppard