data_visualization | A collection of my data visualizations | Data Visualization library

 by   aaronpenne Python Version: Current License: MIT

kandi X-RAY | data_visualization Summary

kandi X-RAY | data_visualization Summary

data_visualization is a Python library typically used in Analytics, Data Visualization, Jupyter applications. data_visualization has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However data_visualization build file is not available. You can download it from GitHub.

This is a collection of my data visualizations, mostly made with Python.
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              data_visualization has a low active ecosystem.
              It has 298 star(s) with 66 fork(s). There are 19 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of data_visualization is current.

            kandi-Quality Quality

              data_visualization has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              data_visualization 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

              data_visualization releases are not available. You will need to build from source code and install.
              data_visualization has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed data_visualization and discovered the below as its top functions. This is intended to give you an instant insight into data_visualization implemented functionality, and help decide if they suit your requirements.
            • Annotate an image
            • Draws consolas centered on the given box
            • Retrieve a list of vi images
            • Download an image
            • Get custom tick labels from dp
            • Round a value to a given number
            • Appends one or more images together
            • Label a bar chart
            • Return list of images in image directory
            • Calculate the fit of the data
            • Get a directory
            • Normalize a s to n
            • Read data from file
            • Filter dataframe by date
            Get all kandi verified functions for this library.

            data_visualization Key Features

            No Key Features are available at this moment for data_visualization.

            data_visualization Examples and Code Snippets

            No Code Snippets are available at this moment for data_visualization.

            Community Discussions

            QUESTION

            Delete table record when folder is deleted - Access Management Page
            Asked 2020-Nov-13 at 20:20

            I have an Access Management Page. It has a Page List and a Roles List. The Page list comes from reading the folders on a path. The Roles list comes from reading the roles from a table. When a role is selected for a page; it gets added to a page_access table (ID, Page, Page_Groups) Values (1, data_visualization, Admin). What I need is that when a folder is deleted from the path, the table also deletes its record from it.

            To clarify: folders are on a ubuntu server. If folder is deleted, it would be from the terminal.

            Do you think using "DELETE FROM table WHERE Page NOT IN ( )" would work? If so, how would you use the $list array to do so?

            Update: I tested this query and works

            ...

            ANSWER

            Answered 2020-Nov-13 at 20:20

            I found out that I could just add single quotes next to the comma in implode(",", $list) and that would do the trick.

            Source https://stackoverflow.com/questions/64825449

            QUESTION

            Verify if user is allowed to access page
            Asked 2020-Nov-05 at 02:59

            I have 4 tables with the following:

            ...

            ANSWER

            Answered 2020-Nov-05 at 02:59

            Assuming that you store the logged on user_id as a variable in $_SESSION there's no need to go anywhere near the users table.

            This should do the trick:

            mysqli

            Source https://stackoverflow.com/questions/64687659

            QUESTION

            How do I display Y values above the bars in a matplotlib barchart?
            Asked 2020-Jul-26 at 14:04

            I am generating a bar chart from a dataframe, I want to remove the Y axis labels and display them above the bars. How can I achieve this?
            This is my code so far:

            ...

            ANSWER

            Answered 2020-Jul-26 at 14:04

            using ax.patches you can achieve it.

            This will do:

            Source https://stackoverflow.com/questions/63100383

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

            Vulnerabilities

            No vulnerabilities reported

            Install data_visualization

            You can download it from GitHub.
            You can use data_visualization 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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          • HTTPS

            https://github.com/aaronpenne/data_visualization.git

          • CLI

            gh repo clone aaronpenne/data_visualization

          • sshUrl

            git@github.com:aaronpenne/data_visualization.git

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