Python - What are the major improvement of Pandas over Numpy/Scipy
A main point is that it introduces new data structures like dataframes, panels etc. and has good interfaces to other structure and libs. So in generally its more an great extension to the python ecosystem than an improvement over other libs. For me its a great tool among others like numpy, bcolz. Often i use it to reshape my data, get an overview before starting to do data mining etc.
I have been using numpy/scipy for data analysis. I recently started to learn Pandas. 
I have gone through a few tutorials and I am trying to understand what are the major improvement of Pandas over Numpy/Scipy. 
It seems to me that the key idea of Pandas is to wrap up different numpy arrays in a Data Frame, with some utility functions around it. 
Is there something revolutionary about Pandas that I just stupidly missed?