使用 blitting 加速渲染

位块传输是一种标准技术，在光栅图形中，在 Matplotlib 的上下文中，它可以用来（大幅）提高交互式图形的性能。例如，animation 和 widgets 模块在内部使用位块传输。在这里，我们将演示如何在这些类之外实现自己的位块传输。

位块传输通过将所有不变的图形元素一次渲染到背景图像中来加速重复绘制。然后，对于每次绘制，只需要将更改的元素绘制到此背景上。例如，如果 Axes 的限制没有改变，我们可以渲染包含所有刻度线和标签的空 Axes 一次，然后只绘制更改的数据。

策略是

• 准备常量背景

  • 绘制图形，但排除所有要动画化的艺术家，方法是将它们标记为动画（参见 Artist.set_animated）。

  • 保存 RGBA 缓冲区的副本。

• 渲染单个图像

  • 恢复 RGBA 缓冲区的副本。

  • 使用 Axes.draw_artist / Figure.draw_artist 重新绘制动画艺术家。

  • 在屏幕上显示生成的图像。

此过程的一个结果是，您的动画艺术家始终绘制在静态艺术家之上。

并非所有后端都支持位块传输。您可以通过 FigureCanvasBase.supports_blit 属性检查给定画布是否支持位块传输。

警告

此代码不适用于 macosx 后端（但在 Mac 上适用于其他 GUI 后端）。

最小示例

我们可以使用 FigureCanvasAgg 方法 copy_from_bbox 和 restore_region，并结合在我们的艺术家上设置 animated=True，来实现一个使用 blitting 加速渲染的最小示例。

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 2 * np.pi, 100)

fig, ax = plt.subplots()

# animated=True tells matplotlib to only draw the artist when we
# explicitly request it
(ln,) = ax.plot(x, np.sin(x), animated=True)

# make sure the window is raised, but the script keeps going
plt.show(block=False)

# stop to admire our empty window axes and ensure it is rendered at
# least once.
#
# We need to fully draw the figure at its final size on the screen
# before we continue on so that :
#  a) we have the correctly sized and drawn background to grab
#  b) we have a cached renderer so that ``ax.draw_artist`` works
# so we spin the event loop to let the backend process any pending operations
plt.pause(0.1)

# get copy of entire figure (everything inside fig.bbox) sans animated artist
bg = fig.canvas.copy_from_bbox(fig.bbox)
# draw the animated artist, this uses a cached renderer
ax.draw_artist(ln)
# show the result to the screen, this pushes the updated RGBA buffer from the
# renderer to the GUI framework so you can see it
fig.canvas.blit(fig.bbox)

for j in range(100):
    # reset the background back in the canvas state, screen unchanged
    fig.canvas.restore_region(bg)
    # update the artist, neither the canvas state nor the screen have changed
    ln.set_ydata(np.sin(x + (j / 100) * np.pi))
    # re-render the artist, updating the canvas state, but not the screen
    ax.draw_artist(ln)
    # copy the image to the GUI state, but screen might not be changed yet
    fig.canvas.blit(fig.bbox)
    # flush any pending GUI events, re-painting the screen if needed
    fig.canvas.flush_events()
    # you can put a pause in if you want to slow things down
    # plt.pause(.1)

这个示例有效并展示了一个简单的动画，但是因为我们只获取了一次背景，如果图形的像素大小发生变化（由于图形的大小或 dpi 发生变化），背景将无效，导致不正确的（但有时看起来很酷！）图像。此外，还存在一个全局变量和相当多的样板代码，这表明我们应该将它封装在一个类中。

基于类的示例

我们可以使用一个类来封装恢复背景、绘制艺术家和将结果 blit 到屏幕上的样板逻辑和状态。此外，我们可以使用 'draw_event' 回调来捕获每次完全重绘时的新背景，以正确处理调整大小。

class BlitManager:
    def __init__(self, canvas, animated_artists=()):
        """
        Parameters
        ----------
        canvas : FigureCanvasAgg
            The canvas to work with, this only works for subclasses of the Agg
            canvas which have the `~FigureCanvasAgg.copy_from_bbox` and
            `~FigureCanvasAgg.restore_region` methods.

        animated_artists : Iterable[Artist]
            List of the artists to manage
        """
        self.canvas = canvas
        self._bg = None
        self._artists = []

        for a in animated_artists:
            self.add_artist(a)
        # grab the background on every draw
        self.cid = canvas.mpl_connect("draw_event", self.on_draw)

    def on_draw(self, event):
        """Callback to register with 'draw_event'."""
        cv = self.canvas
        if event is not None:
            if event.canvas != cv:
                raise RuntimeError
        self._bg = cv.copy_from_bbox(cv.figure.bbox)
        self._draw_animated()

    def add_artist(self, art):
        """
        Add an artist to be managed.

        Parameters
        ----------
        art : Artist

            The artist to be added.  Will be set to 'animated' (just
            to be safe).  *art* must be in the figure associated with
            the canvas this class is managing.

        """
        if art.figure != self.canvas.figure:
            raise RuntimeError
        art.set_animated(True)
        self._artists.append(art)

    def _draw_animated(self):
        """Draw all of the animated artists."""
        fig = self.canvas.figure
        for a in self._artists:
            fig.draw_artist(a)

    def update(self):
        """Update the screen with animated artists."""
        cv = self.canvas
        fig = cv.figure
        # paranoia in case we missed the draw event,
        if self._bg is None:
            self.on_draw(None)
        else:
            # restore the background
            cv.restore_region(self._bg)
            # draw all of the animated artists
            self._draw_animated()
            # update the GUI state
            cv.blit(fig.bbox)
        # let the GUI event loop process anything it has to do
        cv.flush_events()

以下是我们如何使用我们的类。这比第一个示例稍微复杂一些，因为我们还添加了一个文本帧计数器。

# make a new figure
fig, ax = plt.subplots()
# add a line
(ln,) = ax.plot(x, np.sin(x), animated=True)
# add a frame number
fr_number = ax.annotate(
    "0",
    (0, 1),
    xycoords="axes fraction",
    xytext=(10, -10),
    textcoords="offset points",
    ha="left",
    va="top",
    animated=True,
)
bm = BlitManager(fig.canvas, [ln, fr_number])
# make sure our window is on the screen and drawn
plt.show(block=False)
plt.pause(.1)

for j in range(100):
    # update the artists
    ln.set_ydata(np.sin(x + (j / 100) * np.pi))
    fr_number.set_text(f"frame: {j}")
    # tell the blitting manager to do its thing
    bm.update()

这个类不依赖于 pyplot，适合嵌入到更大的 GUI 应用程序中。