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This is a short python module that provides a single function that computes the sample entropy of normalized-time x-coordinate vector x, with tolerance r, and window size m (to be compared with m + 1). Researchers need only import their data into Python, where each trajectory is either a list or NumPy array x. This function may then be used to obtain Sample Entropy per trajectory, to be used in statistical analyses. Recommended tolerance r is the standard deviation of x-shifts (Δx) across conditions, which may be calculated using the NumPy standard deviation function std() and the x-shifts function in this module xshifts(). This module isfor use with Python 2.7 or greater, and both NumPy and Math modules in Python.