python - General Approach to Working with Data in DataFrames -

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question experienced pandas users on approach working dataframe data.

invariably want use pandas explore relationships among data elements. use groupby type functions summary level data on subsets of data. use plots , charts compare 1 column of data against another. i'm sure there other application haven't thought of.

when speak other novice users myself, try extract portions of "large" dataframe smaller dfs sorted or formatted run applications or plot. approach has disadvantages in if strip out subset of data smaller df , want run analysis against column of data left in bigger df, have go , recut stuff.

my question - best practices more experienced users leave large dataframe , try syntactically pull out data in such way effect same or similar cutting out smaller df? or best cut out smaller dfs work with?

thanks in advance.


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