bathRoom | a wrapper around TOIlet

What I am trying to do is adding a column by "places" that count the id occurrence in the whole column "id' :

I have 3 columns in the dataframe. houses = ["house 1", "house 2", "house 3", "house 4", "house 5", "house 6", "house 7", "house 8", "house 9"] room = ["Kitchen", "Bathroom", "Bedroom"] m2 = [8.4.7, NaN, NaN, NaN, 6.3.7]. What I want to do is fill in the blanks with a pattern I set, which would be: If the room column is Kitchen, m2 is 5. If the room column is Bathroom, m2 is 2. If the room column is Bedroom and m2 is 4.

I have this function using factory, (which to be honest I'm not sure why is needed, I just got it from a Tutorial, but is working the rest of the code).

This is the Function in question:

I'm building a project with Laravel 8. I need to merge multiple objects but with conditions. Here is my final object.

I am trying to scrape the following website for basic real estate listing information:

https://www.propertyfinder.ae/en/search?c=2&fu=0&l=50&ob=nd&page=1&rp=y

Parts of the website are dynamically loaded from a back end API when the page is scrolled down using javascript. To get around this I have tried using Scrapy with Splash to render the javascript. The issue I am having is that while instead of returning all the listings it only returns the first 8. I thought the problem was the page wasn't scrolled down and so the page wasnt populated and the divs I needed weren't rendered. I then tried adding some Lua code (which I have no experience with) to scroll the page down in hope it would be populated, however it hasn't worked. Below is my spider:

I have a data frame, and I have to compare a column's median that has specific values from my dataframe (filtered), with the same column's median that has all the values in my original dataframe.
Here's the furthest I have reached, I have presented two graphs, which in my opinion should be in the same graph:

I'm trying to grab some data from apartments.com but it seems as though BeautifulSoup alone will not capture the data because it's dynamic. After doing some research I've concluded Selenium is the way to get dynamic content to load.

However, even after using Selenium I'm not getting the relevant listings details.

This is what I have thus far:

I want to scrape the number of bedrooms and bathrooms and the land area for each property separately from a real estate webpage. However, I found that their tags are the same which is , there are no class and id either. Therefore, when I write the following code:

I am working on a dataframe that displays information on property rentals in Brazil. This is a sample of the dataset: