In documentation, consider providing a cheatsheet for Chaco users coming from Matplotlib

[achabotl]

I know Chaco and Matplotlib have different mental models (and object models), but there's a handful of things that users are likely to do and for which they might know the Matplotlib API. I often share the following table with students and think it'd be nice to have something like it be part of the docs.

What	matplotlib	Chaco
Plot lines	ax.plot(x, y)	p.plot(('x', 'y'))
x label	ax.set_xlabel('Time')	p.x_axis.title = 'Time'
y label	ax.set_ylabel('Value')	p.y_axis.title = 'Value'
Title	ax.set_title(title)	p.title = title
X limits	ax.set_xlim((low, high))	p.index_range.low_setting = LOW p.index_range.high_setting = HIGH
Y limits	ax.set_ylim((low, high))	p.value_range.low_setting = LOW p.value_range.high_setting = HIGH
Label lines for legend	ax.plot(…, label=label)	p.plot(…, name=name)
Add legend	ax.legend()	p.legend.visible = True
Legend position	ax.legend(loc='lower left')	p.legend_alignment = 'll'
Background color		p.bgcolor = 'white'
Show spines		p.border_visible = True
Line width	ax.plot(linewidth=lw)	p.line_width = 1.1 or p.plot(…, linewidth=lw)
X grid	ax.grid(axis='x')	p.x_axis.visible = True
Y grid	ax.grid(axis='y')	p.y_axis.visible = True
Second y ticks		line.y_axis.orientation = "right"

It's not 100% "complete" and it may need some context before it to explain what ax, p, and line are, but it's a start.