simpler and faster alternative to pandas
bears is a light alternative to pandas. Its main goal is to provide a columnar dataframe. Dataframe is a collection of columns. Each column is a numpy.ndarray.
The difference from pandas is as follows: - no fancy indexing - no label index / no active column - no implicit copy / expensive operation
You can - add/remove a column in O(1) - slice indexing / list indexing without copy - transpose the columnar dataframe to get the record-wise list
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