May 16, 2013 · There are many ways that are now available for accessing sample data sets in Python. Personally, I tend to stick with whatever package I am already using (usually seaborn …

However, I couldn't find any solution about splitting the data into three sets. Preferably, I'd like to have the indices of the original data. I know that a workaround would be to use train_test_split …

A more recent project has strong potential for large data sets: Bokeh, which was created with exactly this in mind. In fact, only the data that's relevant at the scale of the plot is sent to the …

Aug 2, 2010 · Converting to lists and back is a lot of unnecessary overhead and seems to defeat the purpose of sets. Consider the answer by @nyuszika7h as well as the solution in …

Apr 15, 2015 · Sets are unordered sequences of unique values. a | b, or a.union(b), is the union of the two sets — i.e., a new set with all values found in either set. This is a class of operations …

I have a Python set that contains objects with __hash__ and __eq__ methods in order to make certain no duplicates are included in the collection. I need to json encode this result set, but …

Oct 16, 2015 · The data structure for multisets is called bag. A bag is a subclass of the Set class from collections module with an extra dictionary to keep track of the multiplicities of elements.

Efficiently compare two sets in Python Asked 8 years, 1 month ago Modified 1 year, 9 months ago Viewed 86k times

May 14, 2010 · Sets use hash functions to determine if an element is in it (if the hash function is good, i.e. collisions are not common, O (1) complexity), while to determine if an element is in a …

15 I would like to use the lmfit module to fit a function to a variable number of data-sets, with some shared and some individual parameters. Here is an example generating Gaussian data, and …