Metadata-Version: 1.1
Name: bears
Version: 0.1
Summary: simpler and faster alternative to pandas
Home-page: http://github.com/elbaro/bears
Author: elbaro
Author-email: elbaro@users.noreply.github.com
License: MIT
Description-Content-Type: UNKNOWN
Description: 
        **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 
        
Platform: UNKNOWN
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
