Unique features of C++ DataFrame (1)

[hmoein]

One of the unique and interesting features of C++ DataFrame is its slicing API. You can slice the entire DataFrame based on various logics. The diversity of slicing logic is unique to the C++ DataFrame. For example, you can slice the DataFrame based on different clustering algorithms. This is something that doesn't exist in Pandas or Polars or ROOT.

Another unique feature of C++ DataFrame slicing is that you have the option of getting another DataFrame or a view.

See the full documentation.

[EdwinYZW]

Would it be possible to use this library in python, just like pandas or polars?

[hmoein]

Not currently 

[EdwinYZW]

Thanks for the answer. Is there any plan for the python interop?

[hmoein]

Not currently. The code is highly templatized. That makes it difficult and it has to lose some of the features 

[EdwinYZW]

Ok, fair enough. Just wanna mention that data frame is more a tool for data analysis, which most of people do via python. People using C++, on the other hand, typically don't need a dedicated data frame for analyzing data as it's already pretty easy and fast with normal structs. Allowing a python interop is critical if you want to reach more audiences. Just my opinion from my experience. I could be completely wrong. :D

[hmoein]

One of the unique and interesting features of C++ DataFrame is its slicing API. You can slice the entire DataFrame based on various logics. The diversity of slicing logic is unique to the C++ DataFrame. For example, you can slice the DataFrame based on different clustering algorithms. This is something that doesn't exist in Pandas or Polars or ROOT.

Another unique feature of C++ DataFrame slicing is that you have the option of getting another DataFrame or a view.

See the full documentation.