n42 | Tiny Deep Learning module for Node.js | Runtime Evironment library

Using substr you may scrape the numeric values for degrees, minutes, and seconds out of the strings according to its position (substring soesn't need an ending position), turn them to numerics and calculate.

bufio.Scanner uses a buffer to read a chunk of the input, and then returns the parts of that buffer. When you write the complete input using a pipe, bufio.Scanner simply reads the whole input, and returns two tokens delimited by newline. fmt.Scanln will always read from stdin. By the time fmt.Scanln runs, the bufio.Scanner will have already read the complete input, so fmt.Scanln simply waits. The same thing will happen with the first program if you put a sleep at the beginning, and type all the input before the program starts reading. So this has got nothing to do with how Go processes input or the scanning delimiters.

If you use buffered i/o, you have to expect the buffer to have more stuff than you need. So, don't mix the two, or use fmt.Scanln after you consume the scanner completely.

The selection in your case is the Chart itself, and nothing will be increase n its dimensions. And the code must paste the picture in the increased chart... Otherwise, any increase does not help.

Try the next way, please:

EDIT: I tried this again, after @Ravenous pointed out the benefits of cy.json():

Using cy.json() in this example works just fine, if you delete the other elements before adding the old ones.

As long as you run the preset layout, the code can also look like this:

I tried to use the same library, it seems to have a bug with parsing arrays. That is why I used https://www.mql5.com/en/code/11134. It has a disadvantage: you need to delete all the objects, unfortunately; as a result there's plenty of code. But at least it works.

Seems your json has incorrect format, I used to cut it a little.

You can use capturing groups, like this:

It's horizontally compressed so you can resize the height dimension and it mostly works; I augmented the vertical dimension by ~25%, and added ~10% to the horizontal dimension.

Regex is likely the best way.

We can use the plugin called imagepreview. The trick is, you need to have nodes as emoji images, and those emojis must have their utfs encoding as their name. You would also need a JAVA 6 JDK because a plugin hasn't seen an update since 2015.

If you have the imagepreview plugin installed, you should see a Node Images section at the bottom of the right-side Preview Settings bar. Tick Render nodes as images and specify the folder where the photos are located in the field below. And then have your data containing utfs point to the photo names.