quantiphy | Physical quantities

 by   KenKundert Python Version: v2.18 License: MIT

kandi X-RAY | quantiphy Summary

kandi X-RAY | quantiphy Summary

quantiphy is a Python library. quantiphy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However quantiphy build file is not available. You can download it from GitHub.

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            kandi-support Support

              quantiphy has a low active ecosystem.
              It has 49 star(s) with 5 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 17 have been closed. On average issues are closed in 32 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of quantiphy is v2.18

            kandi-Quality Quality

              quantiphy has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              quantiphy 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

              quantiphy releases are available to install and integrate.
              quantiphy has no build file. You will be need to create the build yourself to build the component from source.
              quantiphy saves you 2068 person hours of effort in developing the same functionality from scratch.
              It has 4540 lines of code, 122 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 quantiphy and discovered the below as its top functions. This is intended to give you an instant insight into quantiphy implemented functionality, and help decide if they suit your requirements.
            • Return string representation of the parameter
            • Render the expression
            • Return a string representation of the value
            • Return a fixed value
            • Combines the mantissa
            • Scale a number
            • Label the value
            • True if the value is NaN
            • Maps a leading sign
            • Convert from_units to units
            • Fix punctuation
            • Maps the sign
            • Add a constant
            • Initialize a new instance
            • Get a preference by name
            • Set the unit system
            • Reset the prefs to default values
            Get all kandi verified functions for this library.

            quantiphy Key Features

            No Key Features are available at this moment for quantiphy.

            quantiphy Examples and Code Snippets

            No Code Snippets are available at this moment for quantiphy.

            Community Discussions

            QUESTION

            How to show the precision of a float value using quantiphy and engfmt in python?
            Asked 2020-Oct-07 at 18:18

            I'm working on an engineering calculator in python and I found some packages that can convert a float value to engineering notation. First I installed engfmt:

            Code:

            ...

            ANSWER

            Answered 2020-Oct-07 at 18:18

            In both cases the keyword argument prec= doesn't specify the number of digits after the decimal point. It determines the precision of the whole number, i.e. the number of all digits.

            By convention the number of all digits is a specified precision plus 1, i.e. your precision prec=4 gives a 5-digit result.

            Increase your precision to prec=6 (in your case).

            Source https://stackoverflow.com/questions/64249723

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

            Vulnerabilities

            No vulnerabilities reported

            Install quantiphy

            You can download it from GitHub.
            You can use quantiphy 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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            CLONE
          • HTTPS

            https://github.com/KenKundert/quantiphy.git

          • CLI

            gh repo clone KenKundert/quantiphy

          • sshUrl

            git@github.com:KenKundert/quantiphy.git

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