2/9/2024 0 Comments Pyplot subplot screen locationI generally recommend getting Python 3.8 or Python 3.9 directly from, since you guarantee a clean install without conflicts. ![]() Download a fresh copy of your interpreter.Remove all copies of Python from your system, including any conda/Anaconda/regular Python/Python extensions for your editor or IDE, etc.I tend to recommend the overkill solution for these problems, since it creates a clean slate to work on: ![]() I think a big part of the problem is that somewhere along the way, your Python environment got damaged, and that can happen without you even doing anything (if you install a game or program that uses Python, some of them are made by people who don’t care much about their customers and they just override important environmental variables). You are using an outdated version of conda, you need a version which runs on Python 3.8 or later for that specific function you are trying to use. Original error was: DLL load failed while importing _multiarray_umath: The specified module could not be found. Please carefully study the documentation linked above for further help. The Python version is: Python3.8 from “C:\Users\effa1\anaconda3\python.exe”Īnd make sure that they are the versions you expect.We have compiled some common reasons and troubleshooting tips at: Many reasons, often due to issues with your setup or how NumPy was IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE! ImportError: DLL load failed while importing _multiarray_umath: The specified module could not be found.ĭuring handling of the above exception, another exception occurred:įile “C:\Users\effa1\anaconda3\lib\site-packages\matplotlib_ init_.py”, line 107, inįile “C:\Users\effa1\anaconda3\lib\site-packages\matplotlib\cbook_ init_.py”, line 28, inįile “C:\Users\effa1\anaconda3\lib\site-packages\numpy_ init_.py”, line 145, inįile “C:\Users\effa1\anaconda3\lib\site-packages\numpy\core_ init_.py”, line 48, in Please install mkl-service package, see GitHub - IntelPython/mkl-service: Python hooks for Intel(R) Math Kernel Library runtime control settinįile "C:\Users\effa1\anaconda3\lib\site-packages\numpy\core_ init.py", line 22, inįile “C:\Users\effa1\anaconda3\lib\site-packages\numpy\core\multiarray.py”, line 12, inįile “C:\Users\effa1\anaconda3\lib\site-packages\numpy\core\overrides.py”, line 7, inįrom re._multiarray_umath import ( Have a wee web search for it or check some of cc’s articles:Īfter I uninstalled and reinstalled I get this now when I run it:Ĭ:\Users\effa1\anaconda3\lib\site-packages\numpy_ init_.py:143: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. If you’re doing this a lot then you may also prefer changing to use Jupyter’s interactive IDE or something similar which is almost always a much nicer way of working like this. Long term you may prefer working with an interactive kernel like IPython instead of the standard python interactive interpreter. If it is not working then you may need to change the backend (some of these require additional downloads from pip or anaconda) This is just a quick test rather than an ideal way of working. Try running with python -i (interactive inspection after running script) just to double check the graph appears. It’s very likely you’ll want to work in an interactive shell when starting out (unless you’re doing some form of batch processing or periodic figure creation there’s few reasons not to), you might want to work in interactive mode. This would appear like the script ran successfully (no errors) but you don’t see any plots, or they flash up very quickly and disappear.Įdit: Being lazy with links the first time around I should probably mention that an interactive shell is generally suggested for working with matploblib but matplotlib’s interactive mode is not the same thing. ![]() How are you running this code at the minute? By and large matplotlib is designed to run in an interactive session when the python script finishes exectuion all active matplotlib windows could be closed again without your input. I think there is an error here in that plt.show should be plt.show().Įdit: plt.show() is designed to prevent the script continuing (it blocks further execution) - Matplotlib 3.4.2 documentation in the normal “non-interactive mode”. I wouldn’t worry about using it here, if anything it may be easier than sorting it yourself via pip.
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