In my dataframe I have an age column. The total number of rows are approx 77 billion. I want to calculate the quantile values of that column using PySpark. I have some code but the computation time is huge (maybe my process is very bad). Is there any good way to improve this? Dataframe example: What I have do…
How to access “count” value as dict/property in sqlalchemy with group_by?
I am making a very simple query using ORM SQLAlchemy, in which I expect to get a column (type) as well as its occurences for each value (count with group by). I can access the type column by accessing the type property on the server object (as shown in the code provided). I can also access the count column by
Distance Matrix between rows of a Pandas Dataframe with Lat and Lon
I have a Pandas DataFrame with the coordinates of different cell towers where one column is the Latitude and another column is the Longitude like this: and so on I need to get the distances between each cell tower and all the others, and subsequently between each cell tower and its closest neighbouring tower.…
CalledProcessError: Returned non-zero exit status 1
When I try to run: I get the following error: What can I do in my code specifically to make it work? Furthermore, the question on this error has been asked a few times before. However, each answer seems so specific to a particular case, that I don’t see what I can change on my code now so that it
Why isn’t setattr(super(), …) equivalent to super().__setattr__(…)?
According to this answer: setattr(instance, name, value) is syntactic sugar for instance.__setattr__(name, value) But: What gives? Shouldn’t they both do the same thing? Answer The answer you linked to glosses over some important details. Long story short, setattr bypasses super’s magic, so it tri…
Why does this decision tree’s values at each step not sum to the number of samples?
I’m reading about decision trees and bagging classifiers, and I’m trying to show the first decision tree that is used in the bagging classifier. I’m confused about the output. Here’s a snippet out of the output It’s been my understanding that the value is supposed to show how man…
Avoid early exit from command in gitlab CI script pipeline while still capturing exit status
I am trying to generate a badge from PyLint output in a Gitlab CI script. Eventually, the job should fail if PyLint has a non-zero exit code. But before it does so, I want the badge to be created. So I have tried the following: This works fine if the PyLint exit code is 0: However, when PyLint exits with
Scroll down google reviews with selenium
I’m trying to scrape the reviews from this link: https://www.google.com/search?q=google+reviews+2nd+chance+treatment+40th+street&rlz=1C1JZAP_enUS697US697&oq=google+reviews+2nd+chance+treatment+40th+street&aqs=chrome..69i57j69i64.6183j0j7&sourceid=chrome&ie=UTF-8#lrd=0x872b7179b68e33d…
How to get url and row id from database before scraping to use it in pipeline to store data?
I’m trying to make a spider that gets some outdated urls from database, parses it and updates data in database. I need to get urls to scrape and ids to use it pipeline that saves the scraped data. I made this code, but I don’t know why scrapy changes the order of scraped links, looks like its rand…
Pyomo: Minimize for Max Value in Vector
I am optimizing the behavior of battery storage combined with solar PV to generate the highest possible revenue stream. I now want to add one more revenue stream: Peak Shaving (or Demand Charge Reduction) My approach is as follows: Next to the price per kWh, an industrial customer pays for the maximal amount …