boxplot

boxplot(data: DataFrame, column: str, ax: Optional[Axes] = None, lower_quantile: float = 0, upper_quantile: float = 1, transform: str = 'identity', clip: float = 0, flip_axis: bool = True, **kwargs) → Axes

Plots a boxplot of a numerical data column in a pandas DataFrame.

Wraps seaborn’s boxplot adding additional data handling arguments such as log transformations and trimming quantiles to ignore outliers.

Parameters

• data – pandas DataFrame containing data to be plotted

• column – name of column to plot histogram of

• ax – matplotlib axes generated from blank ggplot to plot onto. If specified, must also specify fig

• lower_quantile – Lower quantile to filter data above

• upper_quantile – Upper quantile to filter data below

• transform –

  Transformation to apply to the data for plotting:

  • ’identity’: no transformation

  • ’log’: apply a logarithmic transformation to the data

• clip – Value to clip zero values to for log transformation. If 0 (default), zero values are simply removed.

• flip_axis – Whether to flip the plot so boxplot is horizontal.

• kwargs – Additional keyword arguments passed through to [sns.boxplot](https://seaborn.pydata.org/generated/seaborn.boxplot.html)

Returns

The axes plot was drawn to

Examples

(Source code, png, hires.png, pdf)