Niclas Rieger

I think you're right. The `plot` function is a convenient way of quickly inspecting the modes, but it seems that for your use case it is not general enough and...

Looks valid to me, no? Perhaps you want to add coastlines to identify your region of interest: ```py # analysis fig = plt.figure(figsize=(14, 7)) # define axes ... # add...

Thank you for your kind words! The convenience function `plot` unfortunately sometimes shows some undesirable/irregular behaviour, especially when using more fancy projections than `PlateCarree`. I haven't had (and probably won't...

@GIRIJA-KALYANI this is probably not a bug but - as the error message implies - xarray does not know how to plot complex data. Since you set `complexify=True`, the output...

I'm sorry you encounter these errors, let me go through them one by one: 1. When performing complex EOF, (in contrast to MCA) you can retrieve only one field (called...

If you want to rotate, just call ```py pca.rotate() ``` The following __will not__ work ```py pca = pca.rotate() ``` In any case, the arguments are still needed! The plotting...

Take the plotting example from above and replace the `eofs` calls with the quantitiy you want, e.g. homogeneous patterns: ``` py from cartopy.crs import NearsidePerspective, PlateCarree # ... your analysis...

Are you using `xeofs` or `xmca` now? try using `hom[0]['left']` instead. The tuple contains the hom. patterns `[0]` and the corresponding p values `[1]`.

I cannot say for sure since I do not know your data. But given that it is mode 1, the PCs of the left and right fields often have a...

Using `sphinx-gallery` and same issue here. @niksirbi fix works great. In case you structured your gallery with sub directories this slightly more general expression worked best for me: ```py exclude_patterns...