Consistently create same random numpy array
I am waiting for another developer to finish a piece of code that will return an np array of shape (100,2000) with values of either -1,0, or 1.
I am waiting for another developer to finish a piece of code that will return an np array of shape (100,2000) with values of either -1,0, or 1.
Say I have a list x with unkown length from which I want to randomly pop one element so that the list does not contain the element afterwards. What is the most pythonic way to do this?
How can I randomly shuffle a list so that none of the elements remains in its original position?
Do you know if there is a way to get python’s random.sample to work with a generator object. I am trying to get a random sample from a very large text corpus. The problem is that random.sample() raises the following error.
I need to pick out “x” number of non-repeating, random numbers out of a list. For example:
I have a big script in Python. I inspired myself in other people’s code so I ended up using the numpy.random module for some things (for example for creating an array of random numbers taken from a binomial distribution) and in other places I use the module random.random.
What’s the easiest way to shuffle an array with python?
I want to implement a machine learning algorithm in scikit learn, but I don’t understand what this parameter random_state does? Why should I use it?
Is there a way to generate random letters in Python (like random.randint but for letters)? The range functionality of random.randint would be nice but having a generator that just outputs a random letter would be better than nothing.
This is a self-answered post. A common problem is to randomly generate dates between a given start and end date.