旋转 matplotlib 路径对象 [英] Rotate a matplotlib Path object

问题描述

我正在使用 matplotlib

这是我想要影响的变化:

解决方案

您可以调用 transformed 方法在您的路径对象上使用 旋转变换.

 将matplotlib导入为mpl标记= getCustomMarker()marker = marker.transformed(mpl.transforms.Affine2D().rotate_deg(45))plt.scatter([0,0]，[0,0]，标记=标记，s = 5000)plt.show()

I'm using a matplotlib Path object to create a custom plotting marker as described here. I'd like to rotate the resulting path about its center by an arbitrary angle. Any suggestions on how to do this would be greatly appreciated.

Here's the code I'm using to create and plot the custom marker

import matplotlib.path
import matplotlib.pylab as plt

def getCustomMarker():

    verts = [( -5 , -15 ),
                ( -5 , -5 ),
                ( -15 , -5 ),
                ( -15 , 5 ),
                ( -5 , 5 ),
                ( -5 , 15 ),
                ( 5 , 15 ),
                ( 5 , 5 ),
                ( 15 , 5 ),
                ( 15 , -5 ),
                ( 5 , -5 ),
                ( 5 , -15 ),
                ( -5 , -15 )]

    verts = verts

    codes = [matplotlib.path.Path.MOVETO,
                matplotlib.path.Path.LINETO,
                matplotlib.path.Path.LINETO,
                matplotlib.path.Path.LINETO,
                matplotlib.path.Path.LINETO,
                matplotlib.path.Path.LINETO,
                matplotlib.path.Path.LINETO,
                matplotlib.path.Path.LINETO,
                matplotlib.path.Path.LINETO,
                matplotlib.path.Path.LINETO,
                matplotlib.path.Path.LINETO,
                matplotlib.path.Path.LINETO,
                matplotlib.path.Path.CLOSEPOLY]

    path = matplotlib.path.Path(verts, codes)

    return path

plt.scatter([0,0],[0,0], marker=getCustomMarker(), s=5000)
plt.show()

This is what I get:

This is the change I'd like to affect:

解决方案

You could call the transformed method on your path object with a rotational transform.

import matplotlib as mpl

marker = getCustomMarker()
marker = marker.transformed(mpl.transforms.Affine2D().rotate_deg(45))
plt.scatter([0,0],[0,0], marker=marker, s=5000)
plt.show()

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