In this article, we will learn how we can transform a distance-vector from device space to user space using PyCairo in python. This function is similar to Context.device_to_user() except that the translation components of the inverse CTM will be ignored when transforming (dx,dy).
Pycairo is a Python module providing bindings for the cairo graphics library. This library is used for creating SVG i.e vector files in python. The easiest and quickest way to open an SVG file to view it (read only) is with a modern web browser. Nearly all web browsers support some sort of rendering for the SVG format.
SVG stands for Scalable Vector Graphics. It basically defines vector-based graphics in XML format. SVG graphics do NOT lose any quality if they are zoomed or resized. Every element and every attribute in SVG files can be animated.
In order to do this, we will use the device_to_user_distance() method with the Context object.
Syntax : context.device_to_user_distance()
Argument : It takes dx, dy
Return : It returns dx, dy both float
Example :
Python3
# importing pycairoimport cairo# creating a SVG surface# here geek1 is file name & 700, 700 is dimensionwith cairo.SVGSurface("geek1.svg", 700, 700) as surface: # creating a cairo context object context = cairo.Context(surface) # creating a arc without using closing path method context.arc(100, 60, 40, 0, 1*22/7) # stroke the context to remove the moved pen context.stroke() # creating a arc with using close path method context.arc(300, 60, 40, 0, 1*22/7) # making close path context.close_path() # convert device co-ordinate to user co-ordinate a = context.device_to_user_distance(1, 10) # stroke the context to remove the moved pen context.stroke()# printing message when file is savedprint(a) |
Output :
(1.0, 10.0)
