skill.SkillArrayPlotter

skill.SkillArrayPlotter(self, skillarray)

SkillArrayPlotter object for visualization of a single metric (SkillArray)

• plot.line() : line plot
• plot.bar() : bar chart
• plot.barh() : horizontal bar chart
• plot.grid() : colored grid

Methods

Name	Description
bar	Plot statistic as bar chart using pd.DataFrame.plot.bar()
barh	Plot statistic as horizontal bar chart using pd.DataFrame.plot.barh()
grid	Plot statistic as a colored grid, optionally with values in the cells.
line	Plot statistic as a lines using pd.DataFrame.plot.line()

bar

skill.SkillArrayPlotter.bar(level=0, **kwargs)

Plot statistic as bar chart using pd.DataFrame.plot.bar()

Parameters

Name	Type	Description	Default
level	int or str	level to unstack, by default 0	0
**kwargs	Any	key word arguments to be pased to pd.DataFrame.plot.bar() e.g. color, title, figsize, …	{}

Returns

Name	Type	Description
	AxesSubplot

Examples

>>> sk = cc.skill()["rmse"]
>>> sk.plot.bar()
>>> sk.plot.bar(level="observation")
>>> sk.plot.bar(title="Root Mean Squared Error")
>>> sk.plot.bar(color=["red","blue"])

barh

skill.SkillArrayPlotter.barh(level=0, **kwargs)

Plot statistic as horizontal bar chart using pd.DataFrame.plot.barh()

Parameters

Name	Type	Description	Default
level	int or str	level to unstack, by default 0	0
**kwargs	Any	key word arguments to be passed to pd.DataFrame.plot.barh() e.g. color, title, figsize, …	{}

Returns

Name	Type	Description
	AxesSubplot

Examples

>>> sk = cc.skill()["rmse"]
>>> sk.plot.barh()
>>> sk.plot.barh(level="observation")
>>> sk.plot.barh(title="Root Mean Squared Error")

grid

skill.SkillArrayPlotter.grid(
    show_numbers=True,
    precision=3,
    fmt=None,
    ax=None,
    figsize=None,
    title=None,
    cmap=None,
)

Plot statistic as a colored grid, optionally with values in the cells.

Primarily for MultiIndex skill objects, e.g. multiple models and multiple observations

Parameters

Name	Type	Description	Default
show_numbers	bool	should values of the static be shown in the cells?, by default True if False, a colorbar will be displayed instead	True
precision	int	number of decimals if show_numbers, by default 3	3
fmt	str	format string, e.g. “.0%” to show value as percentage	None
ax	Axes	matplotlib axes, by default None	None
figsize	Tuple(float, float)	figure size, by default None	None
title	str	plot title, by default name of statistic	None
cmap	str	colormap, by default “OrRd” (“coolwarm” if bias)	None

Returns

Name	Type	Description
	AxesSubplot

Examples

>>> sk = cc.skill()["rmse"]
>>> sk.plot.grid()
>>> sk.plot.grid(show_numbers=False, cmap="magma")
>>> sk.plot.grid(precision=1)
>>> sk.plot.grid(fmt=".0%", title="Root Mean Squared Error")

line

skill.SkillArrayPlotter.line(level=0, **kwargs)

Plot statistic as a lines using pd.DataFrame.plot.line()

Primarily for MultiIndex skill objects, e.g. multiple models and multiple observations

Parameters

Name	Type	Description	Default
level	int or str	level to unstack, by default 0	0
**kwargs	Any	key word arguments to be pased to pd.DataFrame.plot.line() e.g. marker, title, figsize, …	{}

Examples

>>> sk = cc.skill()["rmse"]
>>> sk.plot.line()
>>> sk.plot.line(marker="o", linestyle=':')
>>> sk.plot.line(color=['0.2', '0.4', '0.6'])