wine | Wine with a bit of extra spice | Command Line Interface library

Use three joins:

Use itertools.zip_longest() to pair up two sequences, and add filler when one is shorter than the other. You can fill with an empty tuple, so those columns will be omitted when you combine the two tuples.

Use the csv module to convert these combined tuples to rows in the file.

I would recommend you to use train_test_split from sklearn. This could contain following steps:

1. Load your data (e.g. df = pd.read_csv(...) if your data comes from CSV files)
2. Split them using train test split (from sklearn.model_selection import train_test_split), where df are your inputs and labels are true targets (you can set test_size to any value you want).

You're treating the mealObj as an array while it's an object and also you're not looping, so your code only runs once.

Below you can find a code that works for the first Menu (Steak). You might need to account for multiple meals by creating multiple tables.

I think this may be what you are looking for... Though you mention not parsing ingredients that are listed twice, though each food, only has an ingredient listed in your object once. Correct me if I am wrong I will refine answer.

You can use for/in loops to get the nested ingredients and their foods. Then use the obj.name to get the name. Through the first for/in loop the key -> i will be the name of the food, then use the second key along witht he first to get the actual .name => obj[i][k].name this will give you the ingredient name.

I also created a couple of divs to palce the food and its buttons wrapped in divs for styling, etc...

You can use conditionals to filter by food if you want to only show a certain type of foods ingredients as buttons.

NOTE: your obj key for the first value is uppercase, this will cause issues when parsing obj[index][key].name, likely that is just a typo...

One way you might work around this is to take advantage of the fact that static variables are, since C++11, initialised in a threadsafe way. Example:

You can use the str.split() method:

The problem is that the delimiter in the file is a semi-colon rather than a comma. You should have used: