chaospy | Chaospy - Toolbox for performing uncertainty quantification

 by   jonathf Python Version: 4.3.9.post1 License: MIT

kandi X-RAY | chaospy Summary

kandi X-RAY | chaospy Summary

chaospy is a Python library. chaospy 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 chaospy' or download it from GitHub, PyPI.

Chaospy - Toolbox for performing uncertainty quantification.
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            kandi-support Support

              chaospy has a low active ecosystem.
              It has 384 star(s) with 86 fork(s). There are 21 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 45 open issues and 191 have been closed. On average issues are closed in 91 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of chaospy is 4.3.9.post1

            kandi-Quality Quality

              chaospy has 0 bugs and 0 code smells.

            kandi-Security Security

              chaospy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              chaospy code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              chaospy is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              chaospy releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              chaospy saves you 4445 person hours of effort in developing the same functionality from scratch.
              It has 9429 lines of code, 845 functions and 189 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed chaospy and discovered the below as its top functions. This is intended to give you an instant insight into chaospy implemented functionality, and help decide if they suit your requirements.
            • Generate quadrature quadrature
            • Return the lower values of the matrix
            • Generate the quadrature quadrature
            • Return the lower distribution of a given index
            • Calculate the inverse inverse of a distribution
            • Return an upper distribution
            • Calculate the weight distribution
            • Calculate the approximate density for a given distribution
            • Computes the distribution of a quadratic distribution
            • Convert univariate quadratic quadratic quadrature
            • Clenshaw quadrature
            • Perform a polynomial interpolation
            • Calculate fej_2
            • Return the lower bound of the distribution
            • Calculate Spearman correlation coefficient
            • Compute a fehr_1
            • Calculate the upper bound of the distribution
            • Cholesky decomposition
            • Generate samples from a domain
            • Calculate lobositivity
            • Constructs the kronrod Jacobian
            • Generate expansion function
            • Proxy for legendre
            • Sample from the domain
            • Calculate a Gaussian distribution
            • Calculate the Jacobian for a given distribution
            Get all kandi verified functions for this library.

            chaospy Key Features

            No Key Features are available at this moment for chaospy.

            chaospy Examples and Code Snippets

            No Code Snippets are available at this moment for chaospy.

            Community Discussions

            QUESTION

            Saving variables in Python as columns without brackets
            Asked 2019-Sep-23 at 09:43

            I have a code which returns some variables that I would like to later on use in another program. However, the output doesn't look like I want it to. The rows are within brackets [], and I would like to have them removed.

            I have found the following question that deals with something similar; however, I am saving the variable, not printing it on the screen:

            how to remove characters from printed output in python

            This is where the variable is defined, the libraries used are chaospy and numpy.

            ...

            ANSWER

            Answered 2019-Sep-23 at 09:43

            My suspicion is that itemndsT is a list type, which is why when you write it to the file it includes the square brackets. You'll need to format it into a string yourself before writing it. There are a few ways you can do this, but using the join string function is one of the simplest:

            Source https://stackoverflow.com/questions/58059254

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

            Vulnerabilities

            No vulnerabilities reported

            Install chaospy

            You can install using 'pip install chaospy' or download it from GitHub, PyPI.
            You can use chaospy 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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            Install
          • PyPI

            pip install chaospy

          • CLONE
          • HTTPS

            https://github.com/jonathf/chaospy.git

          • CLI

            gh repo clone jonathf/chaospy

          • sshUrl

            git@github.com:jonathf/chaospy.git

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