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
|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|
|show_p_val||bool||Try to show p value in legend|
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.