1 | initial version |
Hello, @ivaralink! Indeed, the solution you pose in your own comment is correct, albeit not stylistically elegant. Superimposing plots can be achieved by "adding" them. However, doing so in one command is considered a poor programming practice. I would recommend doing the following:
P1 = implicit_plot(eq1, (x,-2,5), (y,-2,5))
P2 = implicit_plot(eq2, (x,-2,5), (y,-2,5))
show(P1 + P2)
Even better, you can use the +=
composite operator:
P = implicit_plot(eq1, (x,-2,5), (y,-2,5))
P += implicit_plot(eq2, (x,-2,5), (y,-2,5))
P.show()
(Alternatively, this last line can also be show(P)
.)
I recommend you read the 2D plotting documentation. Also, if you are beginner, I recommend you this book by Gregory Bard.
I hope this helps!
2 | No.2 Revision |
Hello, @ivaralink! Indeed, the solution you pose in your own comment is correct, albeit not stylistically elegant. Superimposing plots can be achieved by "adding" them. However, doing so in one command is considered a poor programming practice. I would recommend doing the following:
P1 = implicit_plot(eq1, (x,-2,5), (y,-2,5))
P2 = implicit_plot(eq2, (x,-2,5), (y,-2,5))
show(P1 + P2)
Even better, you can use the +=
composite operator:
P = implicit_plot(eq1, (x,-2,5), (y,-2,5))
P += implicit_plot(eq2, (x,-2,5), (y,-2,5))
P.show()
(Alternatively, this last line can also be show(P)
.)
I recommend you read the 2D plotting documentation. Also, if you are beginner, I also recommend you read this book by Gregory Bard.Bard, which can be downloaded for free..
I hope this helps!