![]() Time series-specific functionality: date range.(CSV and delimited), Excel files, databases,Īnd saving/loading data from the ultrafast HDF5 format Robust IO tools for loading data from flat files.Hierarchical labeling of axes (possible to have multiple.Split-apply-combine operations on data sets, for both aggregatingĭifferently-indexed data in other Python and NumPy data structures Powerful, flexible group by functionality to perform. ![]() Ignore the labels and let Series, DataFrame, etc. Automatic and explicit data alignment: objects canīe explicitly aligned to a set of labels, or the user can simply. ![]()
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