drugs | old source of https : //drugs.olc.tw

My objective is to check if a patient is using two drugs at the same date. In the example, patient 1 is using drug A and drug B at the same date, but I want to extract it with code.

The following working code shows that I am able to retrieve the text from a Webelement but not the href (returns None). What am I doing wrong? The code line that doesn't work as expected is the next to last:

I have a nested dictionary with lists that I'm trying to access the record in the dictionary that contains the value of my search_id variable.

Without knowing index number of the list how would I access the node with an id that ='C0.N.01.B'

I've taken only a single record from the nested dictionary to illustrate the issue, but there are thousands so I can't just point to the index or key/value without using the variable.

I've tried a lot more than the comments below, but I rewrote the code to be minimal and reproducible.

I'm having a html with some 24 div, in each div there is a h2 tag and ul tag. in the ul tag there are different number of li. In each li then there is h3 tag and a ul again, which again have a li tag with h4 tag enclosing and achor tag e.g.:

I have a dataset named "drugs" and I created a weighted dataset named "weighted_data".

I have an object, which contains mills of drugs given to a patient. More than one drug can be administered to a patient. I am trying to sum the total individual mills of drugs administered to a patient within a specified time.

Here is a sample of my Object.

I have a dataframe with the following columns: Time, Drug and mobility for a full 24 hour period.

A Snapshot of the dataframe

Noob - sorry. I have bee applying prop.table() to data and I have a very basic question. I want to automatically output the combined occasional AND Regular smokers (0.04 + 0.34 = 0.38) from a data frame of categorical data, how would I do it?

I really don't mind step by step processes that allow me to understand what is going on here. I can take that and apply it elsewhere then - Thank you

edit: The only process I can think of is to try to remove not smokers and count the remain categorical variables and use that count to get a proportion through basic maths. But I think I'm way off with that approach

Edit - adding in prop.table code

Noob here, I'm stuck trying to use S3 to summarise proportion data for a data.frame where there are four columns of character data. My goal is to build a summary method to show the proportions for every level of every variable at one time.

I can see how to get the propotion for each column