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Definitely approve of the name EntilZha for your GitHub user name. I was interested to see that coexisting with Pandas is supported, but the documentation seem
by cwyers 9y ago
Definitely approve of the name EntilZha for your GitHub user name.
I was interested to see that coexisting with Pandas is supported, but the documentation seems either scant or unfinished, I can't tell which:
https://github.com/EntilZha/PyFunctional/blob/master/examples/PyFunctional-pandas-tutorial.ipynb https://github.com/EntilZha/PyFunctional/blob/master/example...
- fredley 9y agoThere seems to be a lot of similar functionality (although in a very different paradigm) to Pandas, I'd be very interested to see performance benchmarks between the two on some common pipelines (csv -> filter -> aggregate -> SQL)
- entilzha 9y agoFor operations where vectorization pandas will be much faster since its based on numpy. That being said, there are things which are very awkard to do in pandas which are very easy in pyfunctional
- entilzha 9y agoThanks on name! Fair enough on docs being a bit scarce. The main intent is to being able to easily make a pandas dataframe a sequence of tuple/namedtuples, and convert a sequence of tuple/namedtuple to a pandas dataframes.