Matěj Týč
2016-06-04 14:13:30 UTC
Hello,
consider a case when I want to draw a patch, but it is important how the
border is drawn. For example, if I have an aerial photo and I would like
to add a rectangle of given dimensions as a reference. Having the
rectangle interior white and its border thick and black is good, because
it ensures that the reference will be always clearly visible,
regardless of whether the photo is dark or bright.
However, as the border is thick, it may significantly overlap with the
interior, which is highly unwanted, because it will look smaller.
Therefore, in this case, I would like to draw the border, but all of it
should be outside of the patch primary area.
And I am sure that there are use cases for the opposite situation.
TL;DR: Take a look at the attached picture to see what I have in mind -
I would like to use "outer borders" (red) or "inner borders", or
classical ones, depending on my needs.
Is there a user possibility to influence how the border is drawn? If
not, how difficult would it be to implement this in matplotlib?
consider a case when I want to draw a patch, but it is important how the
border is drawn. For example, if I have an aerial photo and I would like
to add a rectangle of given dimensions as a reference. Having the
rectangle interior white and its border thick and black is good, because
it ensures that the reference will be always clearly visible,
regardless of whether the photo is dark or bright.
However, as the border is thick, it may significantly overlap with the
interior, which is highly unwanted, because it will look smaller.
Therefore, in this case, I would like to draw the border, but all of it
should be outside of the patch primary area.
And I am sure that there are use cases for the opposite situation.
TL;DR: Take a look at the attached picture to see what I have in mind -
I would like to use "outer borders" (red) or "inner borders", or
classical ones, depending on my needs.
Is there a user possibility to influence how the border is drawn? If
not, how difficult would it be to implement this in matplotlib?