I have generated sample stock data and created an interactive table using ipywidgets that allows you to interact with the data in a way similar to an Excel table. Let me summarize what we've done:
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We generated sample stock data for four stocks (AAPL, GOOGL, MSFT, AMZN) over a 30-day period, including Date, Stock, Price, and Volume information.
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We installed the necessary libraries: ipywidgets and qgrid.
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We created a custom interactive table using ipywidgets, which allows you to edit the values directly in the table.
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We displayed the interactive table, which should now be visible in your Jupyter notebook environment.
The interactive table allows you to:
- View the data in a grid format
- Edit numerical values (Price and Volume) using number inputs
- Edit text values (Stock) using text inputs
- Scroll through the data if it exceeds the visible area
This implementation provides a basic Excel-like interaction with the data. However, it's worth noting that while this solution offers interactivity, it may not provide all the advanced features of Excel, such as sorting, filtering, or formula calculations.
Is there anything specific you'd like to do with this interactive table, or any additional features you'd like to add to make it more Excel-like?