How do I convert two lists into a dictionary?
I want to combine these:
python
What does if __name__ == “__main__”: do?
What does this do?
How to read a single character from the user?
Is there a way of reading one single character from the user input? For instance, they press one key at the terminal and it is returned (sort of like getch()). I know there’s a function in Windows for it, but I’d like something that is cross-platform.
Convert columns into rows with Pandas
So my dataset has some information by location for n dates. The problem is each date is actually a different column header. For example the CSV looks like
A weighted version of random.choice
I needed to write a weighted version of random.choice (each element in the list has a different probability for being selected). This is what I came up with:
Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()
I want to filter my dataframe with an or condition to keep rows with a particular column’s values that are outside the range [-0.25, 0.25]. I tried:
Lambda in a loop
Considering the following code snippet: # directorys == {'login': <object at …>, 'home': <object at …>} for d in directorys: self.command["cd " + d] = (lambda : self.root.change_directory(d)) I expect to create a dictionary of two function as following : # Expected : self.command == { "cd login": lambda: self.root.change_directory("login"), "cd home": lambda: self.root.change_directory("home") } … Read more
Why does “return list.sort()” return None, not the list?
I’ve been able to verify that the findUniqueWords does result in a sorted list. However, it does not return the list. Why?
How can I force division to be floating point? Division keeps rounding down to 0?
I have two integer values a and b, but I need their ratio in floating point. I know that a < b and I want to calculate a / b, so if I use integer division I’ll always get 0 with a remainder of a.
How are lambdas useful?
Returning a function from another function