xclim | derived climate variables , ie climate indicators | AWS library
kandi X-RAY | xclim Summary
kandi X-RAY | xclim Summary
xclim is a Python library typically used in Cloud, AWS applications. xclim has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However xclim build file is not available. You can install using 'pip install xclim' or download it from GitHub, PyPI.
Library of derived climate variables, ie climate indicators, based on xarray.
Library of derived climate variables, ie climate indicators, based on xarray.
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Quality
Security
License
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Support
xclim has a low active ecosystem.
It has 237 star(s) with 44 fork(s). There are 20 watchers for this library.
There were 1 major release(s) in the last 6 months.
There are 40 open issues and 524 have been closed. On average issues are closed in 83 days. There are 5 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of xclim is 0.9b0
Quality
xclim has 0 bugs and 0 code smells.
Security
xclim has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
xclim code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
xclim is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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xclim releases are available to install and integrate.
Deployable package is available in PyPI.
xclim has no build file. You will be need to create the build yourself to build the component from source.
It has 25518 lines of code, 1509 functions and 115 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed xclim and discovered the below as its top functions. This is intended to give you an instant insight into xclim implemented functionality, and help decide if they suit your requirements.
- Calculate the fire weather
- Duplicate a given time
- Calculate rainfall code
- Calculate the day length factor
- R Calculate potential evapotranspiration
- R Calculate saturation pressure at a given temperature
- Convert units from source to target
- Convert pint units to cfunits
- Kmeans clustering
- Calculate effective degree days
- Construct an index for the Huglin index
- R Calculate the relative humidity
- Universal temperature index
- Create an ensemble
- R Calculate humidex
- R Calculates the effective growing degree days
- R Calculate water budget
- Weather code
- Train the model
- Generate wind index from wind wind index
- Calculate the degree days exceeding the given degree
- Spell length distribution
- Transform a n - dimensional dataset
- Calculate the number of clusters for a given time range
- Calculate the waollings of the wind stream
- Convenience function to calculate the heating units
Get all kandi verified functions for this library.
xclim Key Features
No Key Features are available at this moment for xclim.
xclim Examples and Code Snippets
No Code Snippets are available at this moment for xclim.
Community Discussions
Trending Discussions on xclim
QUESTION
Fastest way to slice and download hundreds of NetCDF files from THREDDS/OPeNDap server
Asked 2022-Jan-26 at 19:06
I am working with NASA-NEX-GDDP CMIP6 data. I currently have working code that individually opens and slices each file, however it takes days to download one variable for all model outputs and scenarios. My goal is to have all temperature and precipitation data for all models outputs and scenarios then apply climate indicators and make an ensemble with xclim.
...ANSWER
Answered 2022-Jan-26 at 19:06One way is to download via the ncss portal instead of the OpenDAP, available via NASA. The URL is different but it is iterative as well.
e.g.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install xclim
You can install using 'pip install xclim' or download it from GitHub, PyPI.
You can use xclim 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.
You can use xclim 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 .
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