clarite.plot.histogram

clarite.plot.histogram(data, column: str, figsize: Tuple[int, int] = (12, 5), title: Union[str, NoneType] = None, figure: Union[figure, NoneType] = None, **kwargs)

Plot a histogram of the values in the given column. Takes kwargs for seaborn’s distplot.

Parameters:

data: pd.DataFrame

The DataFrame containing data to be plotted

column: string

The name of the column that will be plotted

figsize: tuple(int, int), default (12, 5)

The figure size of the resulting plot

title: string or None, default None

The title used for the plot

figure: matplotlib Figure or None, default None

Pass in an existing figure to plot to that instead of creating a new one (ignoring figsize)

**kwargs:

Other keyword arguments to pass to the distplot function of Seaborn

Returns:

None

Examples

>>> import clarite
>>> title = f"Discovery: Skew of BMIMBX = {stats.skew(nhanes_discovery_cont['BMXBMI']):.6}"
>>> clarite.plot.histogram(nhanes_discovery_cont, column="BMXBMI", title=title, bins=100)