joey | machine learning on top of devito | Machine Learning library

You can use the apply statement to apply the min function to each row and then assign its output to a new column:

We may use str_remove to match the \\ and remove the rest

Try a dynamically expanding range:

Not sure there is a "best" way because it very much depends on the shape of your data. But what you have isn't far off.

It seems like a small helper function might make this more extensible. Something like

You defined results_dict['Results'] as dictionary as dict not list:

You want jsonb_object_agg() to get this:

I can't follow your proposed way of calculating texel size but maybe this makes it more clear:

Texture coordinates (also referred to as UVs) are normalized, so they're fractions between 0 and 1 no matter the size of the texture, meaning that a coordinate of 1 can be 256 pixels or 2048 pixels. To calculate how to get from one dedicated value to the next in a normalized space you need to divide 1 by the number of individual values.

To put in in a different context: Assume I have 10 apples, so that's 100%, how much percent make up one apple? 100(%) / 10(apples) = 10(%) = 1(apple). So if you now want only whole apples from me you know that you have to ask for a multiple of 10%. Convert this to fractions by dividing by 100 and you're back to UVs.

For further reading check out this answer, it also has a nice diagram: Simulate OpenGL texture wrap + interpolation on canvas?

Your XML is not well-formed because it has multiple root elements. An XML document may only have a single root element.

Your options to repair this problem:

1. Remove all Team elements after the first one, or
2. Wrap all Team elements in a single root element such as Teams.

Option #1 would be sufficient alone; option #2 would require the addition of the Teams wrapper element to your XSD.