Simon
Ok, function is the next candidate for development after the multiprocessing enhancement and Python 3.8+ compatibility development. If you know something about the raster processing in Python then don't wait...
Ok, I'll probably move this issue to a different package: https://github.com/SimonMolinsky/random-spatial-py, and then copy the solution from there.
I have updated each tutorial, now I'll update documentation with authors and move the function https://github.com/DataverseLabs/pyinterpolate/blob/dev/pyinterpolate/misc/download_air_data.py to the v0.3
Ok, I have to make one last step - update README and documentation - and I will publish the package. **TODOs to Issues** will be done after publication :)
README is updated, and documentation in the first form is available; but I need to do one more thing: describe data structures. Then I can publish the new version of...
I'll close this issue and create two new ones from it.
[Variogram Point Cloud] [Scatterplot] Make a swarmplot from the scatterplot of semivariances per lag
Hi @SubinDuresh ! Thank you! If something is not clear, ask here, and I'll respond quickly. If you fork the repo, please make PR into the `dev` branch later :)...
[Variogram Point Cloud] [Scatterplot] Make a swarmplot from the scatterplot of semivariances per lag
Hi @SubinDuresh , I wonder if you use the tutorial linked here? (https://pyinterpolate.readthedocs.io/en/latest/usage/tutorials/Variogram%20Point%20Cloud%20%28Basic%29.html) If so, this tutorial uses a huge dataset, and `scatterplot()` of matplotlib renders it very slowly. You...
Hi @JustinGOSSES , Thank you for your time & comment! I was aware that the package works only with Python 3.7, but I haven't known that conda stopped support for...
Hi @JustinGOSSES , As I said, the new version of the package is out. Now it works with P3.7-P3.10. If you plan to test it, I recommend using README (setup...