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Is there a C++ library providing a data structure similar to DataFrame from R or Pandas? What I'm mostly interested in is:
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In conclusion, we can say that R is a programming language whereas Pandas is a library. Using the packages of R, we can perform different operations where Pandas helps us to perform different operations. This tutorial will help beginners to understand the difference between the two and also help in migrating easily.
pandas uses C extensions (mostly written using Cython) to speed up certain operations. To install pandas from source, you need to compile these C extensions, which means you need a C compiler. This process depends on which platform you're using.
Pandas DataFrame is Mutable. Complex operations are difficult to perform as compared to Pandas DataFrame. Complex operations are easier to perform as compared to Spark DataFrame. Spark DataFrame is distributed and hence processing in the Spark DataFrame is faster for a large amount of data.
The query function seams more efficient than the loc function. DF2: 2K records x 6 columns. The loc function seams much more efficient than the query function.
You can also check out the xtensor C++ library which has an API very close to that of numpy, and also handles missing values.
Bonus point: you can use it to edit numpy arrays inplace. http://xtensor.readthedocs.io/en/latest/.
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I don't know a C++ library per se that can do what Pandas can do, but perhaps you might not want to use C++ for that. Have you considered using C++/Python bindings? These can facilitate easy transitions from C++ to Python so you can use Pandas dataframes and transition them to C++.
See, for example, Boost.Python: https://wiki.python.org/moin/boost.python?action=show&redirect=BoostPython
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