PyEmission | Python library for estimation of vehicular emissions

 by   IdahoLabResearch Python Version: 0.3.8 License: Apache-2.0

kandi X-RAY | PyEmission Summary

kandi X-RAY | PyEmission Summary

PyEmission is a Python library typically used in Internet of Things (IoT) applications. PyEmission 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 PyEmission' or download it from GitHub, PyPI.

PyEmission is a Python library for estimation of vehicular emissions and fuel consumption. This tool covers a wide range of light duty motor vehicles including passenger car, SUV, passenger truck, and light commercial truck. The tool only takes second-by-second driving cycle and vehicle characteristics data as inputs and generate results of vehicular emissions (CO2, CO, NOx, and HC) and fuel consumption.
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            kandi-support Support

              PyEmission has a low active ecosystem.
              It has 1 star(s) with 1 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              PyEmission has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of PyEmission is 0.3.8

            kandi-Quality Quality

              PyEmission has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              PyEmission 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.

            kandi-Reuse Reuse

              PyEmission 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.

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            PyEmission Key Features

            No Key Features are available at this moment for PyEmission.

            PyEmission Examples and Code Snippets

            No Code Snippets are available at this moment for PyEmission.

            Community Discussions

            Trending Discussions on Internet of Things (IoT)

            QUESTION

            Display data from two json files in react native
            Asked 2020-May-17 at 23:55

            I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

            ...

            ANSWER

            Answered 2020-May-17 at 23:55

            The new object to get params in React Navigation 5 is:

            Source https://stackoverflow.com/questions/61859411

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

            Vulnerabilities

            No vulnerabilities reported

            Install PyEmission

            You can install using 'pip install PyEmission' or download it from GitHub, PyPI.
            You can use PyEmission 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.

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            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 PyEmission

          • CLONE
          • HTTPS

            https://github.com/IdahoLabResearch/PyEmission.git

          • CLI

            gh repo clone IdahoLabResearch/PyEmission

          • sshUrl

            git@github.com:IdahoLabResearch/PyEmission.git

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