apd | Arbitrary-precision decimals for Go | Math library

In your app.js

You added a slash instead of semi-colon:
socket.current = io("ws://localhost:4000")

A DO construct of the form of the question is not a scoping unit. Further, a "loop variable" for such a construct is not a privileged entity: it's just a variable in the scope containing the loop which is used in a particular way.

j in this case is variable which exists before the DO construct, and it exists after the DO construct.

That j is of implicitly declared type is not relevant: a variable which is not a construct or statement entity with implicit type exists throughout the scoping unit (and possibly others) in which the reference appears (see later). That is, the implicitly typed j here exists throughout the function, not just from the point where it appears in the DO construct.

The SAVE statement applies to the whole (non-inclusive) scoping unit. If j is a local variable (in this case, not use- or host-associated) then the SAVE saves it.

As Steve Lionel points out in a comment, in general, things can be much more complicated. Although not relevant to this question there are exceptions to what may otherwise be seen as blanket statements above.

Consider the similar concepts (switching to free form code for clarity)

The problem is you are calling make_addplot() with only one data point at a time. There is also no need for the date index in the make_addplot() call; only the data.

Also, the length of data (number of rows) passed into make_addplot() must be the same as the length (number of rows) pass into plot().

make_addplot() should not be within the loop.

Try replacing this part of the code:

Assuming the following:

1. Both tables have have the exact same columns
2. Uniqueness only is guaranteed on the entire row (that is, there is no primary key)
3. Every row in each table IS unique, duplicates only exists across the row

Your only option is subquery together with DISTINCT.

This is almost valid JSON, except the final line seems to be truncated. Pandas can import dictionaries with almost no pain:

One way in which you could do this would be to generate a row for each criteria and then aggregate up those that return a match, which can be done using cross apply and a values table generator that ensures all your case expressions are evaluated for all wells.

This approach at present assumes that each well only has the one WellCategory value. If there can be more than one then you will need to make those changes yourself. I also haven't wrapped the output in a pivot as I think this is generally something best done in your presentation layer rather than the raw SQL.

I suggest keeping the SQL output in this format as presentation tools are much better at dynamically handling new categories (e.g. a new LeaseType is added) than SQL is, which in this normalised format wouldn't require a change in either the script or the presentation layer, barring any bespoke labels.

If you want to retain the pivoted output, you can simply wrap this query in your current outer select:

Have managed to solve all bugs by changing the CSS file except for the table header being sticky.

Here's the code for it

As far as I see, you only need to add the link directory to your target: