v0.22

v0.22

• Added extremize to extremize predictions.
• Added normalize to normalize a list of numbers to sum to 1.
• Added get_mean_and_ci to return the mean and a given confidence interval for data.
• Added is_dist to determine if an object is a Squigglepy distribution.
• Added is_sampleable to determine if an object can be sampled using sample.
• Support for working within Pandas is now explicitly added. pandas has been added as a requirement.
• discrete sampling now will compress a large array if possible for more efficient sampling.
• clip, lclip, and rclip can now be used without needing distributions.
• Some functions (e.g, geomean) previously only supported lists, dictionaries, and numpy arrays. They have been expanded to support all iterables.
• dist_max and dist_min now support pipes (>>)
• get_percentiles now coerces output to integer if digits is less than or equal to 0, instead of just exactly 0.