I need to find the first and the last element of a numpy.ndarray which are above a specified threshold. I found the following solution, which works, but it looks a bit convoluted. Is there a simpler/more Pythonic way? Answer You could just access the first/last elements
Tag: python
Discord.py how do I send a DM to anyone I want through a command
Someone asked me to make a bot for him that sends a DM to anyone he specifies through a command, like *send_dm @Jess#6461 hello. I’ve searched alot and I came across this code: but then I got the error: discord.ext.commands.errors.CommandInvokeError: Command raised an exception: AttributeError: ‘Bot’ object has no attribute ‘send_message’ I want to type for example : *send_dm @Jess#6461
pytest requires Python ‘>=3.5’ but the running Python is 2.7.10
I’m trying to install pytest using pip but running into this error: Pretty sure pytest is compatible with python 2. Any reason why I am not able to install it on my machine? As you can see in the error, I am running python 2.7.10 and do not have issue installing other packages. Answer Quoting the changelog: The 4.6.X series
How to find out if a number is a perfect square without using sqrt function or ** in Python? [duplicate]
This question already has answers here: Check if a number is a perfect square (24 answers) Closed yesterday. I have to write a program that finds out whether or not a number is a perfect square. The terms are I don’t use a sqrt function or an exponent (**) I previously showed my teacher my solution using exponent (**) and
electron/socket.io client – python-socketio/aiohttp server // fail to connect
This websocket connection fails. The funny thing is this was working a couple days ago. I downgraded electron from 6 to 5.0.6 but this didn’t help. Server Client (also tested from pure node) When I try it in the browser, I get cors error. Thus, I allowed cors which made it work When I run this from electron/node now, I
Sklearn PCA explained variance and explained variance ratio difference
I’m trying to get the variances from the eigen vectors. What is the difference between explained_variance_ratio_ and explained_variance_ in PCA? Answer The percentage of the explained variance is: The variance i.e. the eigenvalues of the covariance matrix is: Formula: explained_variance_ratio_ = explained_variance_ / np.sum(explained_variance_) Example: Also based on the above formula: 7.93954312 / (7.93954312+ 0.06045688) = 0.99244289 From the documentation:
How can I find an IP address in a long string with REGEX?
I want to find out how can I extract only the correct IP address from a very long string. The problem is that my code extract the IP address even if a part of it has more than 3 digits (which is incorrect). I tried to learn more about Python REGEX, but I don’t know exactly how to stop it
How SelectKBest (chi2) calculates score?
I am trying to find the most valuable features by applying feature selection methods to my dataset. Im using the SelectKBest function for now. I can generate the score values and sort them as I want, but I don’t understand exactly how this score value is calculated. I know that theoretically high score is more valuable, but I need a
Fast way to cyclically wrap values in pandas dataframe
In words: I have a data frame that consists of values over a day, for multiple days per Userid. I’d like to shift all of certain people’s data by 1 period, so that the first value in their first column is a nan, and then everything is cyclically offset, with the last value truncated or lost to space and time,
TypeError: __init__() takes 2 positional arguments but 4 were given
My code is giving the error as TypeError: __init__() takes 2 positional arguments but 4 were given. tried searching for an extra argument but couldn’t get one. Tried previously answered questions but didn’t get any proper solution. My code is as follows: compiler gives runtime error as follows Answer Comments inside the code.