napkin | A collection of Internet of Things projects

I am trying to make a little code that based on tuples, lists and dictionaries. I have the code below but I has the following errors:

1. It only takes the values of "discount and store_product" but I need it to also consider the discount. 2. When it prints, It prints in the following form.

{'1': 'Tango', '2': 'Ice cream', '3': 'Gum rolls', '4': 'Wet Napkins', '5': 'Catfood', '6': 'DoogFood'} ['none', 'none', 'none', '10%', '5%', '5%']

{'T': ['1'], 'a': ['1', '2', '4', '5'], 'n': ['1', '4'], 'g': ['1', '6'], 'o': ['1', '3', '5', '5', '6', '6', '6', '6'], 'I': ['2'], 'c': ['2', '2'], 'e': ['2', '2', '4'], ' ': ['2', '3', '4'], 'r': ['2', '3'], 'm': ['2', '3'], 'G': ['3'], 'u': ['3'], 'l': ['3', '3'], 's': ['3', '4'], 'W': ['4'], 't': ['4', '5'], 'N': ['4'], 'p': ['4'], 'k': ['4'], 'i': ['4'], 'C': ['5'], 'f': ['5'], 'd': ['5', '6'], 'D': ['6'], 'F': ['6']}

3. IGNORE THE INVERT PORTION OF THE CODE. I am experimenting with that part of python but if you have any recommendations to make it better, I want to hear it.

I want the code to print like this.

These are the grocery store lists:

I have this sample dataframe, the regular dataframe has about 35 different columns, with more categories/subcategories

Here are the categories each with a list of words ill be checking the rows for match:

I'm having trouble mapping data to the correct output format I need for a d3 stacked bar visualization due to the complexity of the object I'm working with.

My object currently looks like this

I have an object array of key/value pairs where the values are another set of key/value pairs where all the values are numerical. I'd like to sum up all of the values for each key and then add a new element for each key with that aggregated sum. Once I have that, I'd like to be able to then select the top 5 main keys in the object array based on the aggregated sum value.

My data (object) looks like this

Assuming I have an excel file with 100s of sheets. In a toy example, the sheets are called = ['Apple', 'Farm', 'Kitchen', 'Napkin']

The sheets have multiple columns, but they all have a column called 'Sales'

I want a python dataframe with the Sales of all 4 products, by appending the name of the sheet to the word Sales

It will look like this:

I'm trying to make a media query for responsiveness in smaller devices like mobile phones and tablets. I'm not exactly sure why but my media query will not trigger when it's supposed (or at all, really). It's supposed to trigger at a max width of 500px.

I've been making a website where if you click a button an alert box pops up. But after I click the button the word "undefined" appears on the side of my document.

The way that I have been doing it is like this: