I have CSV file with Vector3 values exported from a C# program.
I would like to use vector operations (like calculating the distance etc.) in pandas.  

As far as I have seen, there is no Vector3 type in pandas. `np.array` offers this kind of operations but it is not available in pandas.
What is the easiest way to accomplish vector calculations in a dataframe like data structure?  

I would appreciate a detailed description starting with how to import the records from the CSV file as a vector type and ending with a calculation example.  

The csv file has the following format:

```
aBin, bBin1, bBin2, bBin3, bBin4, ...
1, "(-1.6831280, 0.0000000, 2.4093440)", "(0.9445564, 0.0000000, 1.9509810)", "(-1.6831280, 0.0000000, 2.4093440)", "(0.9445564, 0.0000000, 1.9509810)" ...
2, "(-5.6848290, 0.0000000, 2.7744440)", "(0.6555564, 0.0000000, 7.2209800)", "(-3.6818280, 0.0000000, 2.5663330)", "(0.6445564, 0.0000000, 2.9509810)" ...
...

```

**Edit**  

This CSV contains measurements of a program. There is a similar CSV (same shape) of another program and I want to calculate the distances between those two CSV (e.g. the distance between the value of `[aBin1][bBin1]` of the first CSV with `[aBin1][bBin1]` of the second CSV). Finally I want to sum this distances to a single value.