Added * Plots of all the example statistical distributions * Bootstrapping confidence interval for a VarStat * Plot bootstrapped confidence intervals * Copy of template in jupyter notebook format Changed * Change color palette to match matplotlib defaults * Discrete InVar plots show stem pmfs Removed
0.3.1
Added * Vars get their own `plot()` method as a shorthand * Baseball example Changed Removed * Rocket example
0.3.0
Added * Experimental D-VARS sensitivity analysis * `Sim.scalarOutVars()` dict and `Sim.noutvars` * You can specify a custom varstat * You can plot plot in percentile space rather than nums Changed * Removed mc_ and MC prefixes from all functions and classes
0.2.3
Added * Python 3.7.0 support (pandas testing made optional) Changed * All functions are now imported into top-level package, so you don't need to dig through modules
0.2.2
Added * Python 3.7 support (>=3.7.1 to match pandas) Changed * `Val.num`s were made numpy arrays * `Val`s have a `shape` attribute rather than `size`, to match with numpy * `helper_functions.get_tuple()` changed to `get_list()` * Simplify code for extracting valmaps * More typing
0.2.1
Added * Python 3.8 support * Pre-commit hooks for linting Changed * Dusted off the code with lots of linting * Made all modules lowercase * pandas is now an optional dependency