We’ve introduced smart completion for Jupyter Magics. After sorting the table once, just hold down Option(Mac) or Alt(Windows) and click the second column you want the table to be sorted by. In DataSpell, doing so is now straightforward. Sort DataFrames by several columnsĭata analysts often need to arrange data by multiple columns to conduct comprehensive analysis and uncover patterns. The feature now supports the pandas Series as well. It allows you to efficiently access important descriptive statistics for your datasets, speeding up data analysis. Introduced for Jupyter in DataSpell 2023.2, we’ve now also made this feature accessible in the Python console.
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