ipysheet | Jupyter handsontable integration | Data Visualization library

 by   QuantStack Python Version: 0.7.0 License: MIT

kandi X-RAY | ipysheet Summary

kandi X-RAY | ipysheet Summary

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

Spreadsheet in the Jupyter notebook:.
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            kandi-support Support

              ipysheet has a low active ecosystem.
              It has 513 star(s) with 67 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 60 open issues and 61 have been closed. On average issues are closed in 85 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ipysheet is 0.7.0

            kandi-Quality Quality

              ipysheet has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ipysheet 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

              ipysheet releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 1317 lines of code, 64 functions and 28 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ipysheet and discovered the below as its top functions. This is intended to give you an instant insight into ipysheet implemented functionality, and help decide if they suit your requirements.
            • Decorator to turn a function into a widget
            • Assign value to object
            • Create a new Sheet from a Pandas DataFrame
            • Return the cell type
            • Get the cell value of an array
            • Get cell format
            • Format a date
            • Convert a sheet to a pandas dataframe
            • Extracts cell data
            • Extract a single column from data
            • Extract data
            • Create a sheet from a NumPy array
            • Render a cell range
            • Get a new sheet
            • Create a grid of a column
            • Adapt a value
            • Convert a sheet to a numpy array
            • Displays a row of data
            • Create a JSON serializer for a value
            • Fetch the package version
            Get all kandi verified functions for this library.

            ipysheet Key Features

            No Key Features are available at this moment for ipysheet.

            ipysheet Examples and Code Snippets

            How to add column names to ipysheet without using pandas data frame?
            Pythondot img1Lines of Code : 9dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import ipysheet
            from ipysheet import sheet, cell
            sheet1 = sheet(column_headers=["Not A", "Not B"])
            cell(0,0,10);
            cell(1,1,100);
            cell(2,2,1000);
            cell(3,3,"Hello");
            sheet1
            
            How to work with two ipysheets at the same time. accesing cell atributes
            Pythondot img2Lines of Code : 10dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from ipysheet import sheet, current, cell, Cell
            
            s1 = sheet(rows=3, columns=4)
            s2 = sheet(rows=3, columns=4)
            
            cell1 = cell(0, 0, 'Hello', )
            cell2 = cell(2, 0, 'World', )
            
            s1.cells = (Cell(column_end=0, column_start=0, row_end=1, row_start=
            ipysheet question about update cell attribute
            Pythondot img3Lines of Code : 19dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            >>> import ipysheet
            >>> from ipysheet.easy import cell
            >>> mysheet = ipysheet.sheet(rows=2, columns=2)
            >>> c = cell(0,0,1, background_color = 'red')
            >>> type(c)
            ipysheet.sheet.Cell
            >>> 
            ipysheet and dataframe. How modify value in a ipysheet when a checkbox is checked
            Pythondot img4Lines of Code : 27dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import numpy as np
            import pandas as pd
            import ipysheet
            df = pd.DataFrame(np.array([[1, 2], [4, 5]]))
            
            wsMultiple = ipysheet.sheet(ipysheet.from_dataframe(df))
            
            # Here wsMultiple.cells is a list of cell-range, those cell-ranges are actually

            Community Discussions

            QUESTION

            How to add column names to ipysheet without using pandas data frame?
            Asked 2021-Oct-27 at 15:23

            Here we are getting by default A,B as column names, how to override column names and write our own column names

            ...

            ANSWER

            Answered 2021-Sep-21 at 12:56

            AFAIK you can't do that. ipysheet isn't a pandas replacement, it's a spreadsheet package designed to run in jupyter. Just like a real spreadsheet, you can't change the column headings because this is how you reference things. However, like in a real spreadsheet, you can put a heading in the cell at the top of a column. And you can even make it stand out as a 'heading'.

            If you don't want to display your data in a jupyter notebook you probably don't want ipysheet.

            References

            https://github.com/QuantStack/ipysheet

            Source https://stackoverflow.com/questions/69269184

            QUESTION

            How to work with two ipysheets at the same time. accesing cell atributes
            Asked 2020-Sep-19 at 20:33

            I want to render two ipysheets in a particular notebook as an example assume I have:

            ...

            ANSWER

            Answered 2020-Sep-19 at 20:33

            This is because, cell adds a new Cell widget to the current Sheet according to the docs. One way that worked for me was to assign Cell to the attributes cells of the first sheet as a tuple. That is,

            Source https://stackoverflow.com/questions/63972892

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

            Vulnerabilities

            No vulnerabilities reported

            Install ipysheet

            Note: You will need NodeJS to build the extension package.

            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 ipysheet

          • CLONE
          • HTTPS

            https://github.com/QuantStack/ipysheet.git

          • CLI

            gh repo clone QuantStack/ipysheet

          • sshUrl

            git@github.com:QuantStack/ipysheet.git

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