Problem

I often find myself using an equivalent of this code:

x = np.linspace(x_min, x_max)
pyplot.plot(x, f(x))

This is unnecessarily verbose, and if written in one line has redundancy:

pyplot.plot(np.linspace(x_min, x_max), f(np.linspace(x_min, x_max)))

Proposed solution

It would be convenient if .plot and similar high level plotting routines identified callable arguments and if possible evaluated those with array arguments. I imagine the amount of meaningful combinations would be limited.

Additional context and prior art

Providing functions as input to plotting routines and letting those take care of the evaluation is a common pattern.

• Julia has such interface
• Mathematica goes a step further and determines how to sample the function. This is out of scope for matplotlib.
• Similarly matlab has fplot