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 suchinterface
• Mathematica goes astep further and determines how to sample the function. This is out of scope for matplotlib.
• Similarly matlab hasfplot