无法使用rotate_around（）围绕特定点旋转matplotlib patch对象

Question

使用plotu（）函数围绕一个特定于plotu的点旋转plotu（）。但是，面片始终围绕原点旋转。我不知道如何确保面片对象围绕特定点旋转。在

代码如下：

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib as mpl
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_xlim(-0.05,1);ax.set_ylim(-0.05,1);
grid('on');

#Rotate rectangle patch object
ts = ax.transData
tr = mpl.transforms.Affine2D().rotate_deg_around(0.2,0.5,10)
t= ts + tr

rec0 = patches.Rectangle((0.2,0.5),0.25,0.2,alpha=0.5)
ax.add_patch(rec0)

#Rotated rectangle patch
rect1 = patches.Rectangle((0.2,0.5),0.25,0.2,color='blue',alpha=0.5,transform=t)
ax.add_patch(rect1);

#The (desired) point of rotation
ax.scatter([0.0,0.2],[0.0,0.5],c=['g','r'],zorder=10)
txt = ax.annotate('Desired point of rotation',xy=(0.2,0.5),fontsize=16,\
xytext=(0.25,0.35),arrowprops=dict(arrowstyle="->",connectionstyle="arc3,rad=-.2"))
txt2 = ax.annotate('Actual point of rotation',xy=(0.0,0.0),fontsize=16,\
xytext=(0.15,0.15),arrowprops=dict(arrowstyle="->",connectionstyle="arc3,rad=.2"))

plt.show()

下面是上述代码的输出：

我也试着做翻译，围绕着_的原点旋转，然后把你翻译回来。然而，翻译转换也不起作用。任何简单翻译的帮助/例子也会非常有用。在

谢谢。在

Answer 1

@David Zwicker，谢谢你给我指出了正确的方向。以下代码在交互模式下正常工作（即可以重新调整图形窗口的大小），可以独立执行，也可以在ipythonqtconsole环境中执行。参见下面的嵌入图。然而，它仍然不能在ipythonwebnotebook环境中工作！任何关于这方面的帮助/想法都会很好。谢谢您。在

#Imports
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.rcParams['figure.dpi'] = 80   # default = 80
mpl.rcParams['savefig.dpi'] = 80  # default = 100
import matplotlib.patches as patches
import numpy as np

#Need to ensure that the figure.dpi (for displaying figure window) and 
#savefig.dpi are consistent.

def redraw(event):
    """Redraw the plot on a resize event"""
    if  np.size(plt.get_figlabels()):
        #Need to check if figure is closed or not and only then do the following
        #operations. Else, the following operations will create a new figure
        ax.clear()
        drawRectangles(ax)
        fig.canvas.draw()
    else:
        pass


def drawRectangles(ax):
    """Function to draw the normal and rotated patch in the transformed domain"""
    #Transform for data coordinates to display coordinates
    td2dis = ax.transData
    coords = td2dis.transform([0.2, 0.5])
    #rotate transform
    tr = mpl.transforms.Affine2D().rotate_deg_around(coords[0], coords[1], 10)
    t = td2dis + tr
    rec0 = patches.Rectangle((0.2,0.5),0.25,0.2,color='blue',alpha=0.5)
    ax.add_patch(rec0)
    #Rotated rectangle patch
    rect1 = patches.Rectangle((0.2,0.5),0.25,0.2,color='blue',alpha=0.5,transform=t)
    ax.add_patch(rect1);
    plt.grid()


figSize = (8,6)
fig = plt.figure("Patch rotate",figsize=figSize)

ax = fig.add_subplot(111)
ax.set_xlim(0,1);ax.set_ylim(0,1);
fig.canvas.mpl_connect('resize_event', redraw)
drawRectangles(ax)

plt.savefig("myfigure.png")
plt.show()

以下是上述代码的一些示例：

在代码中使用savefig（）函数保存图像：

使用导航面板中的“保存”按钮保存的图像：

重新调整大小后使用导航面板中的“保存”按钮保存的图像：

Answer 2

旋转的坐标不是数据坐标。你必须先改变他们，也就是说

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib as mpl
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_xlim(-0.05,1);ax.set_ylim(-0.05,1);
plt.grid('on');

#Rotate rectangle patch object
ts = ax.transData
coords = ts.transform([0.2, 0.5])
tr = mpl.transforms.Affine2D().rotate_deg_around(coords[0], coords[1], 10)
t= ts + tr

rec0 = patches.Rectangle((0.2,0.5),0.25,0.2,alpha=0.5)
ax.add_patch(rec0)

#Rotated rectangle patch
rect1 = patches.Rectangle((0.2,0.5),0.25,0.2,color='blue',alpha=0.5,transform=t)
ax.add_patch(rect1);

#The (desired) point of rotation
ax.scatter([0.0,0.2],[0.0,0.5],c=['g','r'],zorder=10)
txt = ax.annotate('Desired point of rotation',xy=(0.2,0.5),fontsize=16,\
xytext=(0.25,0.35),arrowprops=dict(arrowstyle="->",connectionstyle="arc3,rad=-.2"))
txt2 = ax.annotate('Actual point of rotation',xy=(0.0,0.0),fontsize=16,\
xytext=(0.15,0.15),arrowprops=dict(arrowstyle="->",connectionstyle="arc3,rad=.2"))

plt.show()

编辑：

显然，代码只适用于交互式显示，但在调整窗口大小或保存图形时不起作用。比较这两幅图像：

Answer 3

看来，在保存时，Ipython会将层更改为外部。旋转矩形的变换取决于显示坐标，在缩小或更改图层时可以更改，缩放在交互窗口中。在

我们可以在数据坐标系中旋转矩形。见Rotating a figure (patch) and applying colors in python

当我们需要的时候”轴集面（'equal'）”以避免旋转矩形变形。在