I came across the following code: which returns: [[1, 4, 7], [2, 5, 8], [3, 6, 9]] I don’t quite follow how the values are being transposed. I understand that *l is used to unpack the list, after which I am a little uncertain. Any step by step explanation for this? Answer Here is what that code translates to for
pytest breaks with pip install
I’m working in a repo that has tests and some test helper libraries in a directory named test (https://github.com/covid-projections/covid-data-model/tree/main/test). Mysteriously pip install dash seems to break our tests. I’m using python 3.7.9 in pyenv on a debian laptop. I reproduced the problem with a pretty simple example: Activate a fresh pyenv virtualenv and install the latest pytest with pip install
Pexpect inserts ‘/r/n’ into sendline()
I am using pexpect to automate running a C program in a zsh terminal on Ubuntu 20.04. The program in question is a spectrum convertor: http://www.np.ph.bham.ac.uk/research_resources/programs/spec_conv/spec_conv.c I have this installed and in my path. I can not run ‘spec_conv’ in my terminal and the program runs correctly. When the program starts there is an initial set of options (0-9). I
Python – TicTacToe
In this question I have to create a TicTacToe game in python which will run in terminal. This is a 2player game and if any player wins by the rules of TicTacToe, Winner = player 1/2 has to be printed. I’m getting a winner statement when I have three 0’s or 1’s diagonally but I’m not getting winner in other
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I’m trying to collect news articles off yahoo finance using selenium. I got it to work with 1 article, but when I try looping over the different articles it doesn’t make the click. The reason I have the second ‘except’ ‘continue’ is because there are ads in between the articles which I don’t want to click. The structure of the
How to select top n columns from time series data instead of using nlargest in pandas?
I have weekly based trade export time-series data that I need to make a stacked bar plot for visualizing trade activity. To do so, I aggregated my data for sum-up of each columns for all rows, then use nlargest() to select top n columns. However, doing this way might not be quite accurate because I made stacked plot for different
How would you find the shortest path from a collection of lists representing train lines?
So I have four “train lines” represented as lists: Essentially, each letter serves as a “station”. If a station appears on multiple lines, you can transfer from one line to another, similar to many underground city transit systems. For example, the shortest path from “a” to “h” would be [“a”, “b”, “h”] because you can go from “a” to “b”
Scrolling an element which loads further on scrolling using Selenium in Python
I am trying to create an Instagram scraping bot that collects a list of Followers and Following using Python + Selenium. However, that list keeps on loading when the user scrolls until the list is exhausted. I am attaching a screenshot for reference (some content hidden due to privacy reasons): Now, I believe I have two ways to achieve this:
Selenium continue script even if element is not present
This is an example of what my code currently looks like, When for instance element ID “PhoneNumber” isn’t present, the script will stop with the error code “Unable to locate element”, what needs to be added or changed in order to continue the script without abruption even if a certain element is not present? Thanks in advance. Answer You can
Torch: Why is this collate function so much faster than this other one?
I have developed two collate functions to read in data from h5py files (I tried to create some synthetic data for a MWE here but it is not going to plan). The difference between the two in processing my data is about 10x — a very large increase and I am unsure as to why and I am curious for