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Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis

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> As an aside it would be nice to have an option like `n_modes="all"`, which figures out the rank of the data early on and sets `n_modes = rank`. When...

enhancement

**Describe the bug** Trying to fit a model to DataArray without coordiantes fails. **Reproducible Minimal Working Example** ```py import numpy as np import xarray as xr X = np.random.normal(100, 10)...

bug

Combining `xr.Dataset` as input with both multi-dimensional `sample` and `feature` dimensions will broadcast dimensions thus yielding `components` with inflated dimensions. The broadcasted dimensions are filled with `NaN` and results seem...

bug

**Is your feature request related to a problem? Please describe.** Principal Oscillation Patterns (POP) can capture the temporal evolution of spatial patterns, allowing for the analysis of the dynamics and...

new feature

Reminder: Collect frequently asked questions that should be better addressed in the documentation: - [ ] MCA should typically be performed with PCA preprocessing to reduce computational demand.

documentation

**Is your feature request related to a problem? Please describe.** I often need to extract dominant patterns of variability from data sets. However, standard PCA is hard to interpret due...

enhancement

**Your problem** I work with a non-linear, stationary 3D dataset. I am interested in extracting its main spatio-temporal modes to corroborate data analysis and showcase the benefits of using a...

documentation

> Looking again at the inheritance structure, I'm noticing we recreate the entire API on every child model class. This has the benefit of making the signature explicit and the...

Hello, now i'm trying to conduct CCA with two datasets, SST(ERA5) and precipitation(GPCP). i'm following this example(https://xeofs.readthedocs.io/en/latest/auto_examples/2multi/plot_cca.html), However, I get an error saying that the array should not contain infs...

documentation

**Describe the bug** Trying to save a complex/Hilbert model with `engine=netcdf4` results in the following error: ```py TypeError: illegal primitive data type, must be one of dict_keys(['S1', 'i1', 'u1', 'i2',...

bug