Cobweb | modal journey planner offering a server based REST API | Continuous Deployment library

Here is my database structure:

Relatively new to Matplotlib. I plotted a cobweb diagram and is now hoping to change the r values via arrow keys as the program is running. Tried to use "import keyboard" along with a "running loop" but it doesn't seem to work. Can someone please explain?

We have different modules in the Angular Application: Customer, Product, Sales, Inventory, Marketing, etc.

What's occurring- sometimes different customer, product forms, components, etc can be required in other components.

So Inventory may need customer, Product requires marketing, etc

Our team is discussing two options ,

1) Either have all the modules reference to each other; team is reluctant to conduct since, it may become a network cobweb model and difficult to maintain.

2) Or place everything into Shared Module. However lot of these components are shared , so 60-70% may end up in this.

Curious if there is third option, not requiring every file to be relocated to Shared, and something easier to maintain.

I ran into the problem of having to lock 2 or more resources, which led to a Deadlock when using ReentrantReadWriteLocks, even after having the same locking order everywhere*. I implemented a method that takes Lock Objects, locks them all or rollsback and preempts the current thread:

I'm trying to add custom shears to my mod. I made the class and extended it to original ShearsItem class. They only seem to work on sheep. When I try to break leaves/cobweb nothing drops. I tried looking at other mods that add shears and couldn't find anything speacial that they have added. I'm new to coding so I might have overlooked something.

I would like to know how I can cluster a multivariate dataset using K-means. Each sample in this dataset corresponds to a Person (I have 6000 people), and each Person has both continuous and discrete attributes (10 attributes/Person). An example:

• person_id: 1234
• name: "John Doe"
• age: 30
• height: '5 ft 10 in'
• salary_value: 5000
• Salary_currency: USD
• is_customer: False
• Company: "Testing Inc."
• ...

I have read an existing answer on multidimensional k-means clustering, but the attributes in the dataset there are all continuous. Even a more helpful reading was a post about clustering algorithm for continuous and discrete variables. As mentioned in the latter, I accept I may have to find a function that values discrete states. But I cannot use ROCK or COBWEB for clustering, only k-means.

Which functions can I use to convert the discrete values to continuous ones? Furthermore, is there any way I can prioritize the attributes also (say clustering based on Salary/Age is more important than height), or should I just revamp the whole approach?

I know this question has been answered in here before, but the different functions suggested in the other questions have not been to any help for me - and I´ve tried some few.

I have for example this string with three names that outputs from my database every time it's being loaded:

I have a json array which has bullet1 and bullet 2 values to be binded in a single spinner.

[{"id":7,"description":"Height dusting","is_active":true,"createdBy":1,"CreatedOn":"2018-02-20T19:48:16","ModifiedBy":null,"ModifiedOn":null,"Bullet1":"Done","Bullet2":"Not Done"},

{"id":8,"description":"Cobwebs removed","is_active":true,"createdBy":1,"CreatedOn":"2018-02-20T19:48:17","ModifiedBy":null,"ModifiedOn":null,"Bullet1":"Yes","Bullet2":"No"},

{"id":9,"description":"Side walls cleaned","is_active":true,"createdBy":1,"CreatedOn":"2018-02-20T19:48:17","ModifiedBy":null,"ModifiedOn":null,"Bullet1":"Yes","Bullet2":"No"}],"token":null,"ActionName":"GetQuestionnairesByLocation"}]

So now dynamically there are 3 spinners and according to that only 2 values should be seen in respective spinners. First Spinner - Done, Not Done. Second Spinner - Yes, No. Third Spinner - Yes, No. But the problem i am facing is every spinner is getting binded with 6 values.(Done, Not Done, Yes, No, Yes, No)

Code :

so I have this lines being plotted