如何在Matplotlib中旋轉花式箭頭

Question

我該如何旋轉Matplotlib中的花式箭頭（我不想設置動畫），我嘗試了rotation和transform ，但它們都不對我有用，我認為我在做一些錯誤，請提供任何幫助或替代方法解決方案表示贊賞，我已經在下面粘貼了我的代碼。

import matplotlib.pyplot as plt


fig, ax = plt.subplots()

#Arrow in degree
#Arrow represent the wind direction
degree= 45 #Arrow should rotate as per the specified degree, (0 degree is North)

#Draw Circle
#CENTER POINT
Circle1 = plt.Circle((5, 5), 0.1, color='blue', fill=True)
ax.add_artist(Circle1)
#CIRCLE
Circle2 = plt.Circle((5, 5), 6, color='blue', fill=False)
ax.add_artist(Circle2)

x3=5.0
y3=6.8
x4=5.0
y4=9.0  

#Wind Direction Arrow
#LEFT ARROW
ax.annotate('',
    xy=(x3-0.5, y3), xycoords='data',
    xytext=(-20, 50), textcoords='offset points', rotation=degree,
    size=20,
    # bbox=dict(boxstyle="round", fc="0.8"),
    arrowprops=dict(arrowstyle="fancy",
                    fc="0.6", ec="none",
                    connectionstyle="angle3,angleA=0,angleB=-90"))
#CENTER ARROW
ax.annotate('',
    xy=(x3, y3), xycoords='data',
    xytext=(0, 50), textcoords='offset points', rotation=degree,
    size=20,
    # bbox=dict(boxstyle="round", fc="0.8"),
    arrowprops=dict(arrowstyle="fancy",
                    fc="0.6", ec="none",
                    connectionstyle="angle3,angleA=0,angleB=-90"))
#RIGHT ARROW
ax.annotate('',
    xy=(x3+0.5, y3), xycoords='data',
    xytext=(20, 50), textcoords='offset points', rotation=degree,
    size=20,
    # bbox=dict(boxstyle="round", fc="0.8"),
    arrowprops=dict(arrowstyle="fancy",
                    fc="0.6", ec="none",
                    connectionstyle="angle3,angleA=0,angleB=-90"))

ax.set_aspect('equal') 
ax.set_xlim([-2.5,12.5])
ax.set_ylim([-3,15])
plt.show()

代碼結果。

我的要求：

所有3個箭頭（箭頭代表風向）都應旋轉至指定的角度，並保持中心點為錨點。

Answer 1

由於箭頭的頭和尾是在不同的坐標系中指定的，所以我似乎唯一的選擇是圍繞圓心分別旋轉坐標。

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

fig, ax = plt.subplots()

#Arrow represent the wind direction
#Arrow should rotate as per the specified degree, (0 degree is North)
x3=5.0
y3=5.0
#Draw Circle
#CENTER POINT
Circle1 = plt.Circle((x3, y3), 0.1, color='blue', fill=True)
ax.add_artist(Circle1)
#CIRCLE
Circle2 = plt.Circle((x3, y3), 6, color='blue', fill=False)
ax.add_artist(Circle2)


def winddirectionarrow(ax, xy, deg):
    m1 = np.array( (-1, 1) )
    m2 = np.array( (0, 1) )
    s1 = np.array( (0.5, 1.8) )
    s2 = np.array( (20, 50) )
    xy = np.array(xy)
    rot = mtrans.Affine2D().rotate_deg(deg)
    #Wind Direction Arrow
    cncs = "angle3,angleA={},angleB={}".format(deg,deg-90)
    kw = dict(xycoords='data',textcoords='offset points',size=20,
              arrowprops=dict(arrowstyle="fancy", fc="0.6", ec="none",
                              connectionstyle=cncs))
    #LEFT ARROW
    ax.annotate('', xy=xy + rot.transform_point(m1*s1), 
                    xytext=rot.transform_point(m1*s2), **kw)
    #CENTER ARROW
    ax.annotate('', xy=xy + rot.transform_point(m2*s1), 
                    xytext=rot.transform_point(m2*s2), **kw)
    #RIGHT ARROW
    ax.annotate('', xy=xy + rot.transform_point(s1), 
                    xytext=rot.transform_point(s2), **kw)

winddirectionarrow(ax, (x3,y3),  45)
winddirectionarrow(ax, (x3,y3), -60)
winddirectionarrow(ax, (x3,y3), 170)

ax.set_aspect('equal') 
ax.set_xlim([-2.5,12.5])
ax.set_ylim([-3,15])
plt.show()