KAT | mer Analysis Toolkit contains a number of tools | Genomics library

Use a data step with by group processing instead.

You need to find a suitable regex pattern to grab that content. One such is as follows:

Use DataFrame.join with DataFrame.stack:

It's not exactly the same, but I think it's pretty close.

I brought the varespec data into Python for this. Then tried to mimic the actions that the vegan package (and your code) took. Along those lines, I stuck to the object names you used (for the most part).

There has to be an easier way to do this.

We assume you are interested in the following least squares model where n is nrow(df)

I changed your code.

I added a split of the lookup string.

In your specific case, it seems that you can simply return 0 when the item is out of stock, as it won't change the total cost.

Your list_of_str will contain all the data in a comma-separated-value format, and the data of each item will be separated by a new line.

You can loop through each item in the list_of_str then extract the values using .split(',') method. This will give you code, desc, price, quant (in this particular sequence)

Then you need to push the object of ShoppingItem in the item_list for a particular item. You can do so by creating a new object ShoppingItem(code=code, description=desc, price=price, quantity=quant) and then appending it to the item_list.

so the code will look like this:

Hostname should be exported, i.e. capitalized