pyfisher | Fisher forecasting for cosmological surveys
kandi X-RAY | pyfisher Summary
kandi X-RAY | pyfisher Summary
pyfisher is a Python library. pyfisher has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyfisher has a Non-SPDX License. You can install using 'pip install pyfisher' or download it from GitHub, PyPI.
Fisher forecasting for cosmological surveys
Fisher forecasting for cosmological surveys
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Quality
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Support
pyfisher has a low active ecosystem.
It has 6 star(s) with 7 fork(s). There are 6 watchers for this library.
It had no major release in the last 12 months.
There are 5 open issues and 10 have been closed. On average issues are closed in 278 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pyfisher is 2.1.0
Quality
pyfisher has 0 bugs and 0 code smells.
Security
pyfisher has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pyfisher code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pyfisher has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
pyfisher releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed pyfisher and discovered the below as its top functions. This is intended to give you an instant insight into pyfisher implemented functionality, and help decide if they suit your requirements.
- Return a dict containing the cmdclass for the given cmdclass
- Return a copy of the FisherMatrix
- Build a ConfigParser object from root
- Get project root directory
- Extract version information from setup py
- Return an instance of the model
- Load a theory spectrum
- Validates map XY type
- Load a ellipse
- Prepare the output
- Return information about the git repository
- Create the versioneer config file
- Install versioneer
- Distribute njobs
- Compute the sensitivity SN for a given ellipsoid
- Return a copy of the FisherMatrix
- Calculate a band - fisher for a bandck
- Calculate the Fisher matrix for the diagonal of the covariance matrix
- Loads the DSV diagonal matrix
- Returns the value of a given key
- Calculate the bao - drag12 from the bao
- R Compute the sigma
- Calculate the bao r r
- R Returns a dictionary of fnoise noise
- Extract parameter information from a parameter file
- Extract version information from VCS
- Scans the setup py py file and checks if it is missing
Get all kandi verified functions for this library.
pyfisher Key Features
No Key Features are available at this moment for pyfisher.
pyfisher Examples and Code Snippets
No Code Snippets are available at this moment for pyfisher.
Community Discussions
No Community Discussions are available at this moment for pyfisher.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyfisher
You can install using 'pip install pyfisher' or download it from GitHub, PyPI.
You can use pyfisher 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 pyfisher 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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