Random row selection in Pandas dataframe
Is there a way to select random rows from a DataFrame in Pandas.
random
Python: Random selection per group
Say that I have a dataframe that looks like:
How to get two random records with Django
How do I get two distinct random records using Django? I’ve seen questions about how to get one but I need to get two random records and they must differ.
Better way to shuffle two numpy arrays in unison
I have two numpy arrays of different shapes, but with the same length (leading dimension). I want to shuffle each of them, such that corresponding elements continue to correspond — i.e. shuffle them in unison with respect to their leading indices.
Sample each group after pandas groupby
I know this must have been answered some where but I just could not find it.
Sampling uniformly distributed random points inside a spherical volume
I am looking to be able to generate a random uniform sample of particle locations that fall within a spherical volume.
Generating Discrete random variables with specified weights using SciPy or NumPy
I am looking for a simple function that can generate an array of specified random values based on their corresponding (also specified) probabilities. I only need it to generate float values, but I don’t see why it shouldn’t be able to generate any scalar. I can think of many ways of building this from existing functions, but I think I probably just missed an obvious SciPy or NumPy function.
Weighted random sample in python
I’m looking for a reasonable definition of a function weighted_sample that does not return just one random index for a list of given weights (which would be something like
Random is barely random at all?
I did this to test the randomness of randint:
Select 50 items from list at random
I have a function which reads a list of items from a file. How can I select only 50 items from the list randomly to write to another file?