transforms.offset_copy

这说明了 transforms.offset_copy 进行转换，将绘图元素（如文本字符串）放置在屏幕坐标（点或英寸）中相对于任何坐标中给定位置的指定偏移处。

每个艺术家（文本、Line2D等）都有一个变换，可以在创建艺术家时进行设置，例如通过相应的pyplot函数进行设置。默认情况下，这通常是轴.transData转换，从数据单元到屏幕像素。我们可以使用 offset_copy 函数生成此变换的修改副本，其中修改包含偏移量。

import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms
import numpy as np


xs = np.arange(7)
ys = xs**2

fig = plt.figure(figsize=(5, 10))
ax = plt.subplot(2, 1, 1)

# If we want the same offset for each text instance,
# we only need to make one transform.  To get the
# transform argument to offset_copy, we need to make the axes
# first; the subplot function above is one way to do this.
trans_offset = mtransforms.offset_copy(ax.transData, fig=fig,
                                       x=0.05, y=0.10, units='inches')

for x, y in zip(xs, ys):
    plt.plot(x, y, 'ro')
    plt.text(x, y, '%d, %d' % (int(x), int(y)), transform=trans_offset)


# offset_copy works for polar plots also.
ax = plt.subplot(2, 1, 2, projection='polar')

trans_offset = mtransforms.offset_copy(ax.transData, fig=fig,
                                       y=6, units='dots')

for x, y in zip(xs, ys):
    plt.polar(x, y, 'ro')
    plt.text(x, y, '%d, %d' % (int(x), int(y)),
             transform=trans_offset,
             horizontalalignment='center',
             verticalalignment='bottom')

plt.show()