nv | programming language supports non-volatile variable | Code Quality library

I have sonarQube running but it says that there are duplicates within these lines of code. How do resolve this in a switch statement? I am just learning how unit testing in java works so any help would be great!

I work with large data sheets, in which I am trying to correlate all of the columns.

I achieve this using:

Hello I am trying to capture a specific part of a text. I have tried different patterns but without any luck. I have tried different answers for similar questions but also without any luck. After struggling for awhile I wanted to ask it. I am not sure if it is possible at all and I am trying this in java...

So what I am trying to get is any url for the caIssuers within the AuthorityInfoAccess in this case that would be http://cacerts.digicert.com/DigiCertHighAssuranceEVRootCA.crt however the value is dynamic.

The raw text is:

How can i strip the string below?(I just want to create a column to show city and state,you can see the city and state's name after \n)

I checked my matrix for NA, Inf and -Inf. There are no occurrences. What is happening?

I have a function of 5 variables. I would like to visualize how the function behaves by plotting a surface where I span the range of 2 variables and hold the remaining 3 constant.

In my case, the function is Black Scholes and it is a function of S,T,K,r,s: BS(S,T,K,r,s)

And I would like to plot the result of BS(S,T,Kvec,r,svec) Where K and s are replaced with vector inputs. Or BS(Svec,Tvec,K,r,s) Where S and T are replaced with vector inputs. Or BS(S,Tvec,K,r,svec) Where T and K are replaced with vector inputs.

In summary, I would like to have the user pass in 2 vectors and 3 constants and then have the function adapt.

How can I do this elegantly without coding up all 5 Choose 2 cases?

I have tried turning all the inputs into Numpy arrays and then iterating but numpy arrays with a single value are not iterable.

I have two DF's

In the following DF, called "contribs," is there a way to quickly calculate the sums in the amount column based on state? In other words, the sum of the amount from all rows that have CA in the state column, and then all rows that have NV in the state column, etc., similar to the "groupby" method in pandas.

I am working on cleaning the Twitter data which contains the "user_location" column. I want to make this column data uniform by removing the names of regions, cities, states and replacing them with the respective country. I was doing this manually. Is there any other way to do the same? My code is working good, but I want to optimize it if there is any other way. It's a brute force approach and even making my code too lengthy.