Pillow/docs/reference/ImagePath.rst

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.. py:module:: PIL.ImagePath
.. py:currentmodule:: PIL.ImagePath
:py:mod:`~PIL.ImagePath` Module
===============================
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The :py:mod:`~PIL.ImagePath` module is used to store and manipulate 2-dimensional
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vector data. Path objects can be passed to the methods on the
:py:mod:`~PIL.ImageDraw` module.
.. py:class:: PIL.ImagePath.Path
A path object. The coordinate list can be any sequence object containing
either 2-tuples [(x, y), …] or numeric values [x, y, …].
You can also create a path object from another path object.
In 1.1.6 and later, you can also pass in any object that implements
Pythons buffer API. The buffer should provide read access, and contain C
floats in machine byte order.
The path object implements most parts of the Python sequence interface, and
behaves like a list of (x, y) pairs. You can use len(), item access, and
slicing as usual. However, the current version does not support slice
assignment, or item and slice deletion.
:param xy: A sequence. The sequence can contain 2-tuples [(x, y), ...]
or a flat list of numbers [x, y, ...].
.. py:method:: PIL.ImagePath.Path.compact(distance=2)
Compacts the path, by removing points that are close to each other. This
method modifies the path in place, and returns the number of points left in
the path.
``distance`` is measured as `Manhattan distance`_ and defaults to two
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pixels.
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.. _Manhattan distance: https://en.wikipedia.org/wiki/Manhattan_distance
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.. py:method:: PIL.ImagePath.Path.getbbox()
Gets the bounding box of the path.
:return: ``(x0, y0, x1, y1)``
.. py:method:: PIL.ImagePath.Path.map(function)
Maps the path through a function.
.. py:method:: PIL.ImagePath.Path.tolist(flat=0)
Converts the path to a Python list [(x, y), …].
:param flat: By default, this function returns a list of 2-tuples
[(x, y), ...]. If this argument is ``True``, it
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returns a flat list [x, y, ...] instead.
:return: A list of coordinates. See ``flat``.
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.. py:method:: PIL.ImagePath.Path.transform(matrix)
Transforms the path in place, using an affine transform. The matrix is a
6-tuple (a, b, c, d, e, f), and each point is mapped as follows:
.. code-block:: python
xOut = xIn * a + yIn * b + c
yOut = xIn * d + yIn * e + f