rockey | Stressless CSS for components using JS | Frontend Framework library

 by   tuchk4 JavaScript Version: Current License: MIT

kandi X-RAY | rockey Summary

kandi X-RAY | rockey Summary

rockey is a JavaScript library typically used in User Interface, Frontend Framework, React, Next.js applications. rockey has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i rockey-react' or download it from GitHub, npm.

Stressless CSS for components using JS. Write Component Based CSS with functional mixins.
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            kandi-support Support

              rockey has a low active ecosystem.
              It has 97 star(s) with 9 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of rockey is current.

            kandi-Quality Quality

              rockey has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              rockey 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

              rockey releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

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            rockey Key Features

            No Key Features are available at this moment for rockey.

            rockey Examples and Code Snippets

            No Code Snippets are available at this moment for rockey.

            Community Discussions

            QUESTION

            setColumnDefs and setRowData not working while loading dynamic column and rows in ag-grid
            Asked 2020-Apr-27 at 10:16

            below is JSON data

            ...

            ANSWER

            Answered 2020-Apr-27 at 01:29

            Your header is an array. And you are assigning the entire array to tableColumns
            Instead you should do something like this -

            Source https://stackoverflow.com/questions/61444556

            QUESTION

            Converting a web scrape into excel?
            Asked 2019-Nov-20 at 23:14

            UPDATE: I tried to install pandas module on Pycharm and got an error? (Indexerror: list index out of range).

            Pandas error message I also tried to install in command prompt window with no luck using C:> pip install pandas

            I also tried this cmd.exe?

            I was able to finally get pip install pandas to work, but it still says I don't have module... pip install pandas

            I am trying to get this information automatically save into an excel file similar to this Sample excel

            ...

            ANSWER

            Answered 2019-Nov-20 at 06:37
            import requests
            from bs4 import BeautifulSoup
            import pandas as pd
            
            
            r = requests.get('https://cumberlink.com/sports/high-school/football/pa-football-writers-all-state-team-class-a-a-and/article_4d286757-a501-5b5b-b3be-cfebc06ef455.html')
            soup = BeautifulSoup(r.content, 'html.parser')
            
            new = []
            for item in soup.findAll('div', {"class": "subscriber-only"}):
                if '-' in item.text:
                    data = [s.strip() for s in item.text.replace('–', ',').split(',')]
                    data[-1:] = data[-1].split()
                    new.append(data)
            
            
            df = pd.DataFrame(new, columns=['Name', 'School', 'Height', 'Weight', 'Class'])
            df['Year'] = '2018'
            df.to_excel('output.xlsx')
            

            Source https://stackoverflow.com/questions/58946219

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

            Vulnerabilities

            No vulnerabilities reported

            Install rockey

            You can install using 'npm i rockey-react' or download it from GitHub, npm.

            Support

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            CLONE
          • HTTPS

            https://github.com/tuchk4/rockey.git

          • CLI

            gh repo clone tuchk4/rockey

          • sshUrl

            git@github.com:tuchk4/rockey.git

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