The idiomatic way to do this with Pandas is to use the .sample method of your data frame to sample all rows without replacement: df.sample(frac=1) The frac keyword argument specifies the fraction of rows to return in the random sample, so frac=1 means to return all rows (in random order). Note: If you wish to … Read more
Use itertools.permutations from the standard library: import itertools list(itertools.permutations([1, 2, 3])) Adapted from here is a demonstration of how itertools.permutations might be implemented: def permutations(elements): if len(elements) <= 1: yield elements return for perm in permutations(elements[1:]): for i in range(len(elements)): # nb elements[0:1] works in both string and list contexts yield perm[:i] + elements[0:1] + … Read more