DashTable | HTML table into an ASCII table | Grid library

 by   doakey3 Python Version: 1.4.5 License: MIT

kandi X-RAY | DashTable Summary

kandi X-RAY | DashTable Summary

DashTable is a Python library typically used in User Interface, Grid applications. DashTable 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 DashTable' or download it from GitHub, PyPI.

Convert an HTML table into an ASCII table: Colspan and Rowspan allowed!
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            kandi-support Support

              DashTable has a low active ecosystem.
              It has 35 star(s) with 13 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 10 have been closed. On average issues are closed in 103 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of DashTable is 1.4.5

            kandi-Quality Quality

              DashTable has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              DashTable 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

              DashTable 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.
              DashTable saves you 797 person hours of effort in developing the same functionality from scratch.
              It has 1831 lines of code, 73 functions and 96 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed DashTable and discovered the below as its top functions. This is intended to give you an instant insight into DashTable implemented functionality, and help decide if they suit your requirements.
            • Convert a table to a simple spreadsheet format
            • Check that the given span is valid
            • Get the number of columns in a span
            • Center a line
            • Convert text to data
            • Make a list of rows
            • Make an empty table
            • Truncate empty lines
            • Convert text to grid
            • Convert an HTML table to an rst file
            • Convert table to RST format
            • Add all the spaces to the table
            • Center the cell s text
            • Convert an HTML table to markdown
            • Convert table to markdown
            • Return the column width in the given table
            • Convert an element
            • Returns the depth of the element
            • Check if text is a header
            • Return True if text is only contained in char_list
            • Convert text to HTML
            • Convert strong text
            • Convert i e i e i
            • Convert an element to text
            Get all kandi verified functions for this library.

            DashTable Key Features

            No Key Features are available at this moment for DashTable.

            DashTable Examples and Code Snippets

            No Code Snippets are available at this moment for DashTable.

            Community Discussions

            QUESTION

            Update dashtable columns name dynamically
            Asked 2022-Mar-29 at 11:17

            I'm trying to make a dashtable and its columns will be change dynamically based on dropdowns value.

            Below is my sample code:

            ...

            ANSWER

            Answered 2022-Mar-29 at 11:17

            This is the error javascript throws back in the browser console:

            Object { message: "ID not found in layout", html: "Attempting to connect a callback Output item to component:\n \"tableDiv\"\nbut no components with that id exist in the layout.\n\nIf you are assigning callbacks to components that are\ngenerated by other callbacks (and therefore not in the\ninitial layout), you can suppress this exception by setting\n```suppress_callback_exceptions=True```.\nThis ID was used in the callback(s) for Output(s):\n tableDiv.children" } dash_renderer.v2_1_0m1644023699.min.js:2:84904

            Object { message: "ID not found in layout", html: "Attempting to connect a callback Input item to component:\n \"columns_name\"\nbut no components with that id exist in the layout.\n\nIf you are assigning callbacks to components that are\ngenerated by other callbacks (and therefore not in the\ninitial layout), you can suppress this exception by setting\n```suppress_callback_exceptions=True```.\nThis ID was used in the callback(s) for Output(s):\n tableDiv.children" }

            As it suggests, you are referring to id components that are generated by another callback (namely, callback render_tab_content generates the tableDiv div and is being referred to by update_column_name). This is a problem, as your tableDiv won't be present when you select the dashboard table but the callback may still be invoked (at least initially which is why you are having an issue to begin with).

            It's best to perhaps have the contents of update_column_name combined with render_table_content and generate the column stuff you need through the one callback. You don't really gain anything from splitting into 2 callbacks in this instance, and if you really want, you can abstract the contents of the other callback into a normal function and just call it in render_tab_content. Here is a suggested adaptation:

            Source https://stackoverflow.com/questions/71660480

            QUESTION

            Multilevel dataframe to dash table
            Asked 2021-Oct-22 at 19:05

            Having this dataframe:

            What's the best way to display as a dashtable ? I've tried manipulating the columns manually but didn't work

            ...

            ANSWER

            Answered 2021-Oct-22 at 19:05

            Alright, this was a little tricky, but here's one way to get it to work in Dash's dash_table open-source table library:

            Source https://stackoverflow.com/questions/69642786

            QUESTION

            Cannot add a symbol to indicate a dashtable column is editable
            Asked 2021-Oct-16 at 05:46

            I have following editable dash datatable:

            However it is not clear for other user that the entries of last two columns can be modified manually, if the user wishes to do so. In the following screenshot, I have changed manually the red marked entries.

            Is there a way to add the following symbol so that it's clear that the entries of last two columns (not the columns name) are editable.

            My current code for this datatable is:

            ...

            ANSWER

            Answered 2021-Oct-12 at 20:28

            Hmm yes I see how you got that SVG from the built-in feature where dash datatable allows you to toggle user-renaming of columns. I don't think there would be any simple (in Python) ways to also carry over that feature for the editing. I don't see styling code in your example given, so not sure how you colored the columns. But indeed there are built-in style parameters for color-highlighting specific cols/rows/cells, conditionally, or explicitly.

            E.g., you could add something like the following:

            Source https://stackoverflow.com/questions/69532672

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

            Vulnerabilities

            No vulnerabilities reported

            Install DashTable

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

          • CLONE
          • HTTPS

            https://github.com/doakey3/DashTable.git

          • CLI

            gh repo clone doakey3/DashTable

          • sshUrl

            git@github.com:doakey3/DashTable.git

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