A fast table-like container for data analytics
Gtable is a container for tabular or tabular-like data designed with speed in mind. It tries to improve one some aspects of using pandas data types Series and DataFrame as containers for simple computations:
- It Reduces the overhead for column access, creation, and concatenation.
- It supports sparse data with bitmap indexing.
- It truly handles NaNs, making a difference between a NaN and a NA in its internal representation.
- It provides fast transformations (filling NA values, filtering, joining…)
It also relies heavily on numpy. You can consider gtable as a thin layer over numpy arrays.
You can install gtable with a simple pip install gtable. Gtable is an open-source project released under a BSD 3-Clause license. You can read the full documentation here.
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