xrfit

Overview 🎯

xrfit provides Model-based, Multidimensional regression/analysis methods. By Integrating,

xarray to handle multivariate data by utilizing coordinate-aware structure of DataArray.
lmfit to deal complex regression problems using the composite-model based approach.

Features ✨

Model based regression

model = Model_1() + Model_2()
guess = data.fit.guess(model=model)
result = data.fit(model=model, params=guess)

Parameter handling (e.g. Sorting and Smoothing parameters)

sorted_result = result.params.sort("params_name")
smoothened_result = sorted_result.params.smoothen("params_name")
new_result = data.fit(model=model, params=smoothened_result.parmams)

Interactive visualization
```
result.display()
```

Metadata

Release files for xrfit 0.9.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for xrfit 0.9.0
File	Size	Uploaded
xrfit-0.9.0.tar.gz	121.0 kB	Feb 11, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for xrfit 0.9.0
File	Interpreter	ABI	Platform	Reset
xrfit-0.9.0-py3-none-any.whl 35.0 kB Feb 11, 2025	Python 3	none	any	Details

Total release size: 156.0 kB

Release files / xrfit-0.9.0.tar.gz

Download URL	xrfit-0.9.0.tar.gz
Size	121.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`de2e992098b8a594b567d8b5339689193894bdf45badfb1ae603e2534c115241`
BLAKE2b-256 checksum How to use checksums	`a3b185bd0b693daa5768eba1083cb22de8db96e6252985297f73158acd83da31`
Upload date	Feb 11, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`uv/0.5.30`

Release files / xrfit-0.9.0-py3-none-any.whl

Download URL	xrfit-0.9.0-py3-none-any.whl
Size	35.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`b5624546c1b4fc0a7b5714133c2c39db2258845e9171c6b92b0654cf0b5781a5`
BLAKE2b-256 checksum How to use checksums	`087bd6bcb644668ae464f4b45f4b04e672506b462f5bca6c9985648091c5e17d`
Upload date	Feb 11, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`uv/0.5.30`