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Create custom data column from loaded datasets. Can be mathematical expressions supported by pandas.eval() function. Example. If I have loaded fred DGS2,DGS5 and I want to create a new column that is the difference between these two, I can create a new column by doing eval spread = DGS2 - DGS5. Notice that the command is case sensitive, i.e., DGS2 is not the same as dgs2.


eval [-q QUERY [QUERY ...]]


query-q --queryQuery to evaluate on loaded datasetsNoneTrueNone

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