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Package for calculating common parameters for thin film light-emitting devices (LEDs), including light outcoupling efficiency using a classical dipole model

License: MIT License

Jupyter Notebook 84.80% Python 15.20%

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oledpy's Issues

Installing problem of the package "oledpy". Already Solved

Q: First it was installed in my Mac, I got back the error massage: picture 1 in the attachment. As seeing the"pywin32==233==...", I thought maybe I have to run it in Windows OS. Then I installed a virtual machine win10 in my Mac, and installed anaconda in the virtual machine. Unfortunately, another problem came out: picture 2 in the attachment. Searching on the Internet, I delete some documents in the oled.yml(add #, picture 3 in the attachment). I have no idea what problem will this deal cause. Sadly, after deleting all the packages which can not be resolved, I failed again, "Found conflicts! Looking for incompatible packages"(picture 4 in the attachment). I was puzzled what caused this problem.

I have little experience in anaconda and python, and this is my first time to installed a shared environment (first contact with .yml document). Could you help me install the package? I would be very appreciated!

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A: Many of the packages in oled.yml are actually unnecessary to do the dipole emission calculations (they’re either used for other parts of oledpy or vestiges from previous versions of the code). You can run oledpy on a mac no problem. You could try just using the base installation of anaconda (which comes with numpy, matplotlib, pandas, etc.) and see if it works. Otherwise, you could also try using the attached oled.yml file (I removed all the unnecessary packages and version information). There's a small possibility that something won't work with this file because of slight version changes to the packages, but it should be fine.

The old.yml document was changed to:

`name: oled # for oled calculation and analysis
channels:

  • anaconda
  • defaults
  • conda-forge
    dependencies:
  • python=3.7
  • matplotlib
  • numpy
  • pandas
  • scipy
  • statsmodels
  • pip
  • tqdm
  • jupyter
  • ipykernel
  • pip:
    • tmm==0.1.7`

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