So I’m trying to make it so that if my rectangle collides with an another rectangle/Point, it will move the Point y position away from the rectangle and will add one to my score. The problem that I’m getting is that my score will add two instead of one evey single time my rectangle collides with my point https://gyazo.com/d9e4167f749f2a672fe7f713ce5bab2e. I
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I am trying to get the index values of the function. But I want to get the minimum instead of the maximum values of just like the post: post. I have tried to convert the function below to work for the minimum values unlike the maximum values to getting the indexes. Max Values: Index Function Answer For the minimum, you
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I have multiple csv files I’ve uploaded into both google colab and jupyter notebook. I can successfully print certain lines of my file. The file contains rows of strings. When I open the file it opens the number application of my MacBook. Anyways, for some reason whenever I try to print the length of ANY line in my file, python
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I am trying out Quart with Hypercorn in Python 3.8. From what I understand, Quart is typically used for single threaded applications. But I see that Hypercorn has a –workers option to run the app. How can a single threaded app benefit from using multiple workers? Answer Each worker is a separate process which means that there are multiple Quart
TypeError: on_message() missing 1 required positional argument: ‘message’
Hello I tried to make a bot with Discord.py and I tried implementing this to my code but I get the error in the title. I don’t know a lot of Python yet and I’m very new so I don’t know what may cause this error. Any help would be great, thanks! Answer Giving the full error log and the
Enumerate rows in each group starting from one
I have a dataframe (which is sorted on date, date column is not included in the example for simplicity) that looks like this: I want to create a new column that counts the occurrence of each value in the letters column, increasing 1 by 1 as the value occurs in the letters column. The data frame I want to reach
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CS50(2021) – Finance. :( registration rejects duplicate username – expected status code 200, but got 400
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Consider the following django model: Now, I’d like to group all Ratings by the number of ratings per category like this: which returns a QuerySets like this: Is there a way to include all not-rated dimensions? To achieve an output like: Answer First we will create a dictionary with counts for all dimensions initialised to 0. Next we will query