xESMF | Universal Regridder for Geospatial Data | Dataset library

by JiaweiZhuang Python Version: 0.3.0 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | xESMF Summary

xESMF is a Python library typically used in Artificial Intelligence, Dataset applications. xESMF has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install xESMF' or download it from GitHub, PyPI.

Universal Regridder for Geospatial Data

Support

Quality

Security

License

Reuse

Support

xESMF has a low active ecosystem.

It has 206 star(s) with 53 fork(s). There are 22 watchers for this library.

It had no major release in the last 12 months.

There are 54 open issues and 45 have been closed. On average issues are closed in 59 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of xESMF is 0.3.0

Quality

xESMF has 0 bugs and 0 code smells.

Security

xESMF has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

xESMF code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

xESMF is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

xESMF releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

xESMF saves you 372 person hours of effort in developing the same functionality from scratch.

It has 888 lines of code, 62 functions and 12 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed xESMF and discovered the below as its top functions. This is intended to give you an instant insight into xESMF implemented functionality, and help decide if they suit your requirements.

Convert a dictionary to an ESM grid
Construct an ESM grid from a 2D array
Add a corner to the grid
Warn if f_contiguous
Warn a given latitude
Convert lon and lat coordinates to 2D meshgrid
Generate a grid of grid points
Generate a 2D grid of grid points
Calculate the centers and bounds for a grid
Write weight file
Build a regrid from sourcegrid to destgrid
Destroy a regrid
Read the README rst rst file

Get all kandi verified functions for this library.

xESMF Key Features

No Key Features are available at this moment for xESMF.

xESMF Examples and Code Snippets

Upsampling xarray DataArray similar to np.repeat()?

Python

Lines of Code : 13

License : Strong Copyleft (CC BY-SA 4.0)

Copy

>>> arr
array([[0, 0, 0],
       [0, 1, 2],
       [0, 2, 4]])

>>> np.int_(np.kron(arr, np.ones((2,2))))
array([[0, 0, 0, 0, 0, 0],
       [0, 0, 0, 0, 0, 0],
       [0, 0, 1, 1, 2, 2],
       [0,

Resample xarray object to lower resolution spatially

Python

Lines of Code : 12

License : Strong Copyleft (CC BY-SA 4.0)

Copy

# this results in bin centers on 100, 300, ...
reduced = (
    output_ds
    .groupby(((output_ds.x//200) + 0.5) * 200)
    .mean(dim='x')
    .groupby(((output_ds.y//200) + 0.5) * 200)
    .mean(dim='y'))

output_d

Community Discussions

Trending Discussions on xESMF

Upsampling xarray DataArray similar to np.repeat()?

How do I resample a high-resolution GRIB grid to a coarser resolution using xESMF?

QUESTION

Upsampling xarray DataArray similar to np.repeat()?

Asked 2021-Apr-26 at 04:37

I'm hoping to upsample values in a large 2-dimensional DataArray (below). Is there an xarray tool similar to np.repeat() which can be applied in each dimension (x and y)? In the example below, I would like to duplicate each array entry in both x and y.

...

ANSWER

Answered 2021-Apr-26 at 04:37

There is a simple solution for this with np.kron.

Source https://stackoverflow.com/questions/67218706

QUESTION

How do I resample a high-resolution GRIB grid to a coarser resolution using xESMF?

Asked 2021-Feb-12 at 22:39

I'm trying to resample a set of GRIB2 arrays at 0.25 degree resolution to a coarser 0.5 degree resolution using the xESMF package (xarray's coarsen method does not work here because there is an odd number of coordinates in the latitude).

I have converted the GRIB data to xarray format through the pygrib package, which then subsets out the specific grid I need:

...

ANSWER

Answered 2021-Feb-12 at 19:38

I would recommend first trying conservative instead of bilinear (it's recommended on their documentation) and maybe check if you're using the parameters correctly because it seems something is wrong, my first guess would be that something you're doing moves the latitud around for some reason, I'm leaving the docs link here and hope someone knows more.

Regridder docs: https://xesmf.readthedocs.io/en/latest/user_api.html?highlight=regridder#xesmf.frontend.Regridder.__init__

Upscaling recommendation (search for upscaling, there's also a guide for increasing resolution): https://xesmf.readthedocs.io/en/latest/notebooks/Compare_algorithms.html?highlight=upscaling

Source https://stackoverflow.com/questions/66177931

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install xESMF

You can install using 'pip install xESMF' or download it from GitHub, PyPI.
You can use xESMF like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: