Comments (1)
jbaron
commented on June 14, 2024
DataFrames can be easily integrated in roboquant and besides better at displaying tables, it also offers also all the extra data manipulations.
But currently dataframes implementation also have some downsides:
- The functionality in Jupyter for displaying tables is limited (no scrolling etc). Datalore is better.
- Doesn't play nice with Jupyter Lab theming, since it has many hardcoded CSS styles
- Not great for displaying larger tables (default limit for only 20 rows).
So for now not implementing support yet. But will revise again at a later version. In the mean time, users can already use DataFrames using one of the extension functions for lists, maps and objects that DataFrame comes with.
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Related Issues (20)
- Return metrics as a map
- slf4j simple logger conflicts with other slf4j implementations HOT 3
- Indicator Selector
- Variable Engineering
- Feature Chart HOT 1
- Remove OANDA support HOT 1
- binance enum issue HOT 4
- Advanced policies HOT 6
- Issue with PriceQuote Parser HOT 2
- Build failing CalendarChartTest.test:33 HOT 3
- Improve order placement HOT 1
- Cannot create an Alpaca Bracket order with entry of type LimitOrder HOT 2
- Add support for Alpaca Live Trading HOT 3
- Unable To Create BracketOrder in Alpaca HOT 4
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