logplot | Awesome interactive plots from custom logs | Data Visualization library

 by   jerry-git Python Version: 1.0.4 License: MIT

kandi X-RAY | logplot Summary

kandi X-RAY | logplot Summary

logplot is a Python library typically used in Analytics, Data Visualization, Jupyter applications. logplot 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 logplot' or download it from GitHub, PyPI.

Awesome interactive plots from custom logs

            kandi-support Support

              logplot has a low active ecosystem.
              It has 25 star(s) with 1 fork(s). There are 3 watchers for this library.
              It had no major release in the last 12 months.
              There are 8 open issues and 9 have been closed. On average issues are closed in 6 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of logplot is 1.0.4

            kandi-Quality Quality

              logplot has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              logplot 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

              logplot 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.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed logplot and discovered the below as its top functions. This is intended to give you an instant insight into logplot implemented functionality, and help decide if they suit your requirements.
            • Create a legend
            • Return the next colour
            • Handle click event
            • Open the log viewer
            • Plot a log plot
            • Return the absolute path to the user config file
            Get all kandi verified functions for this library.

            logplot Key Features

            No Key Features are available at this moment for logplot.

            logplot Examples and Code Snippets

            Plotting logs
            Pythondot img1Lines of Code : 3dot img1License : Permissive (MIT)
            copy iconCopy
            $ logplot path/to/log -c path/to/conf/file
            $ logplot doc/examples/log.txt -c doc/examples/user_conf.yaml
            $ logplot doc/examples/log_huge.txt -c doc/examples/user_conf_huge.yaml
            Pythondot img2Lines of Code : 1dot img2License : Permissive (MIT)
            copy iconCopy
            $ pip3 install logplot

            Community Discussions


            nicer ticks for logarithmic Axes3D
            Asked 2017-May-01 at 19:32

            creating a log Axes3D object is an issue (see here)

            a workaround is



            Answered 2017-May-01 at 19:32

            You can use the following format:

            Source https://stackoverflow.com/questions/43725107


            LogLinear and LogLog plots in android
            Asked 2017-Apr-13 at 09:49

            I want my application to be able to display frequency response graphs but I cannot find any graphing library that has this functionality. I am currently using MPAndroidChart for some other charts (and it is great !) but sadly I could not find any way to use it to do log plots. I have also tried using numAndroidCharts (numcharts logplot example), but that library seems broken/outdated since i couldn't even get the example code to work properly. Is there anyway that you know of to achieve this ?



            Answered 2017-Apr-13 at 09:49

            I use MPAndroidChart with a log scale with converted values.

            For example if your value is 1E-5:

            Source https://stackoverflow.com/questions/43388383

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


            No vulnerabilities reported

            Install logplot

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


            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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          • PyPI

            pip install logplot

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          • CLI

            gh repo clone jerry-git/logplot

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