Python Pandas: Check if string in one column is contained in string of another column in the same row
I have a dataframe like this:
I have a dataframe like this:
In JavaScript I am used to being able to call functions to be executed at a later time, like this
I’m really trying to wrap my brain around how recursion works and understand recursive algorithms. For example, the code below returns 120 when I enter 5, excuse my ignorance, and I’m just not seeing why?
def cube(number): return number^3 print cube(2) I would expect cube(2) = 8, but instead I’m getting cube(2) = 1 What am I doing wrong? Answers: Thank you for visiting the Q&A section on Magenaut. Please note that all the answers may not help you solve the issue immediately. So please treat them as advisements. If … Read more
I am trying to create a program that will open a port on the local machine and let others connect into it via netcat. My current code is.
I want to encode an image into a string using the base64 module. I’ve ran into a problem though. How do I specify the image I want to be encoded? I tried using the directory to the image, but that simply leads to the directory being encoded. I want the actual image file to be encoded.
I am curious how I can use pandas to read nested json of the following structure:
From the pandas documentation, I’ve gathered that unique-valued indices make certain operations efficient, and that non-unique indices are occasionally tolerated.
My webpage looks like this:
I need a function similar to str.split(' ') but there might be more than one space, and different number of them between the meaningful characters. Something like this: