AMM | Aria2 Menubar Monitor | Menu library

The response basically looks like a list of dicts. So to extract names (or other keys) you can just do a list comprehension:

[d['name'] for d in data_quote]

The MatTableDataSource accepts an array not an object.

You have to set:

there are some considerations:

1. does the same data volume between the production and the dev? If there are 10k data in the dev while there are 10M data in the production env, it does make sense of the slowness in the production env.

2. the target SQL statement is divided two parts: DB engine firstly select the data,then insert the data into table GTT_POSTING_XX. Please find which part is the bottleneck from the execution plan. If the insert part is slow, please check if there are indexes in this table GTT_POSTING_XX; if does, please disable these indexes before insert; after insert, please enable these indexes. if the select part is slow, please check if table meter_f has index on column meter_id,meter_date and meter_period_duration. Please assure execution plan can leverage these indexes on table meter_f.

When you call addProduct(JSON.stringify(props.navigation.getParam('input')),true) you are setting the second argument oneadd to true. In the addProduct function, you call setDidAddInput(oneadd); before checking if(didAddInput === true), so it will always be true and still execute infinite times.

Our goal is to execute once per input.

With a boolean flag, here's what you would do. The initial value is false. We only add if it is still false and has not been changed. Then after adding, we set it to true so that it will not be run again.

You cannot return products before you setDidAddInput because nothing after the return will run.

We replace the 'Years' based on the group vectors. Get all the 'group' vectors into a list with mget, convert the list to two-column data.frame (stack), then do a join with the original data, replace the 'Years' column with the 'value', use that as grouping column and summarise the 'sallary' column

The meta field _myprefix_text_metafield is a protected field as it starts with a "_" (underscore). This is why you can read the value in withSelect() but not save over it withDispatch() without passing auth_callback.

To save to a protected field, the auth_callback is required, eg:

You can style the table in any way you'd like through the availability of the style attribute (both globally or scoped to just a single slide).

For example, you can take your markdown tables and chnage their appearance by adjusting the necessary CSS selectors. By default this will apply globally but if you add scoped after the style tag then it will only act on that slide. (See the marp documentation for more info).

This allows you to set-up all kinds of styles for tables -- even setting a general style that can be tweaked as necesasry for each slide.

See the example below.

getElementsByClassName returns an array of all elements with that class name. if you want to change the first element with that class name, try

I would suggest next approach using gdata function startsWith() to detect strings starting with 3 and then format the values to obtain the desired numbers. I have adapted the code to obtain a similar output to the one showed but you could change according what you need. I used your df data: