When processing events from the user interface, which typically occur inĭisplay space, and you want to know where the mouse click or key-press occurred Goes from display coordinates to data coordinates. Values in data coordinates to display coordinates andĪx.transData.inversed() is a that Transform.inverted) to generate a transform from output coordinate systemīack to the input coordinate system. The transformations also know how to invert themselves (via The naming and destination conventionsĪre an aid to keeping track of the available "standard" coordinate systems and That is why the displayĬoordinate system has None for the "Transformation Object" column - itĪlready is in display coordinates. The input to the display coordinate system. The Transform objects are naive to the source andĭestination coordinate systems, however the objects referred to in the tableĪbove are constructed to take inputs in their coordinate system, and transform In the "Transformation Object" column, ax is a System, and the transformation object for going from each coordinate system to Table below summarizes some useful coordinate systems, a description of each These objects, so you can reuse the existing transformations Matplotlib makesĪvailable to you, or create your own (see ansforms). The limits of custom figure generation, it helps to have an understanding of ![]() Won't need to think about this, as it happens under the hood, but as you push System, and the display coordinate system. Like any graphics packages, Matplotlib is built on top of a transformationįramework to easily move between coordinate systems, the userland dataĬoordinate system, the axes coordinate system, the figure coordinate To download the full example code Transformations Tutorial #
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