Plotting

You can plot results and edited results using the plot method, which interfaces with matplotlib.

> plot edited as bar chart with title as 'Example plot' and x_label as 'Subcorpus'
> plot edited as area chart with stacked and colours as Paired
> plot edited with style as seaborn-talk # defaults to line chart

There are many possible arguments for customising the figure. The table below shows some of them.

> plot edited as bar chart with rot as 45 and logy and \
...    legend_alpha as 0.8 and show_p_val and not grid

Argument	Type	Action
grid	bool	Show grid in background
rot	int	Rotate x axis labels n degrees
shadow	bool	Shadows for some parts of plot
ncol	int	n columns for legend entries
explode	list	Explode these entries in pie
partial_pie	bool	Allow plotting of pie slices
legend_frame	bool	Show frame around legend
legend_alpha	float	Opacity of legend
reverse_legend	bool	Reverse legend entry order
transpose	bool	Flip axes of DataFrame
logx/logy	bool	Log scales
show_p_val	bool	Try to show p value in legend

Note

If you want to set a boolean value, you can just say and value or and not value. If you like, however, you could write it more fully as with value as true/false as well.