您有几种方法可以做到这一点。我怀疑您是否有一种简单的方法来拖动线本身。要拖动线标记(但看不到任何标记),只需确保它们存在但透明即可。我将使用 matplotlib 文档中的一个示例:The Path Editor。
这里是修改后的代码:
import numpy as np
import matplotlib.path as mpath
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
Path = mpath.Path
fig, ax = plt.subplots()
pathdata = [
(Path.MOVETO, (1.58, -2.57)),
(Path.MOVETO, (0.35, -1.1)),
(Path.MOVETO, (-1.75, 2.0)),
(Path.MOVETO, (0.375, 2.0)),
(Path.MOVETO, (0.85, 1.15)),
(Path.MOVETO, (2.2, 3.2)),
(Path.MOVETO, (3, 0.05)),
(Path.MOVETO, (2.0, -0.5)),
#(Path.CLOSEPOLY, (1.58, -2.57)),
]
codes, verts = zip(*pathdata)
path = mpath.Path(verts, codes)
patch = mpatches.PathPatch(path, facecolor='green', edgecolor='yellow', alpha=0.5)
ax.add_patch(patch)
class PathInteractor(object):
"""
An path editor.
Key-bindings
't' toggle vertex markers on and off. When vertex markers are on,
you can move them, delete them
"""
showverts = True
epsilon = 5 # max pixel distance to count as a vertex hit
def __init__(self, pathpatch):
self.ax = pathpatch.axes
canvas = self.ax.figure.canvas
self.pathpatch = pathpatch
self.pathpatch.set_animated(True)
x, y = zip(*self.pathpatch.get_path().vertices)
self.line, = ax.plot(x, y, marker='o', markerfacecolor='r', animated=True)
self.line.set_markerfacecolor((1, 1, 0, 0))
self._ind = None # the active vert
canvas.mpl_connect('draw_event', self.draw_callback)
canvas.mpl_connect('button_press_event', self.button_press_callback)
canvas.mpl_connect('key_press_event', self.key_press_callback)
canvas.mpl_connect('button_release_event', self.button_release_callback)
canvas.mpl_connect('motion_notify_event', self.motion_notify_callback)
self.canvas = canvas
def draw_callback(self, event):
self.background = self.canvas.copy_from_bbox(self.ax.bbox)
self.ax.draw_artist(self.pathpatch)
self.ax.draw_artist(self.line)
self.canvas.blit(self.ax.bbox)
def pathpatch_changed(self, pathpatch):
'this method is called whenever the pathpatchgon object is called'
# only copy the artist props to the line (except visibility)
vis = self.line.get_visible()
plt.Artist.update_from(self.line, pathpatch)
self.line.set_visible(vis) # don't use the pathpatch visibility state
def get_ind_under_point(self, event):
'get the index of the vertex under point if within epsilon tolerance'
# display coords
xy = np.asarray(self.pathpatch.get_path().vertices)
xyt = self.pathpatch.get_transform().transform(xy)
xt, yt = xyt[:, 0], xyt[:, 1]
d = np.sqrt((xt - event.x)**2 + (yt - event.y)**2)
ind = d.argmin()
if d[ind] >= self.epsilon:
ind = None
return ind
def button_press_callback(self, event):
'whenever a mouse button is pressed'
if not self.showverts:
return
if event.inaxes is None:
return
if event.button != 1:
return
self._ind = self.get_ind_under_point(event)
def button_release_callback(self, event):
'whenever a mouse button is released'
if not self.showverts:
return
if event.button != 1:
return
self._ind = None
def key_press_callback(self, event):
'whenever a key is pressed'
if not event.inaxes:
return
if event.key == 't':
self.showverts = not self.showverts
self.line.set_visible(self.showverts)
if not self.showverts:
self._ind = None
self.canvas.draw()
def motion_notify_callback(self, event):
'on mouse movement'
if not self.showverts:
return
if self._ind is None:
return
if event.inaxes is None:
return
if event.button != 1:
return
x, y = event.xdata, event.ydata
vertices = self.pathpatch.get_path().vertices
vertices[self._ind] = x, y
self.line.set_data(zip(*vertices))
self.canvas.restore_region(self.background)
self.ax.draw_artist(self.pathpatch)
self.ax.draw_artist(self.line)
self.canvas.blit(self.ax.bbox)
interactor = PathInteractor(patch)
ax.set_title('drag vertices to update path')
ax.set_xlim(-3, 4)
ax.set_ylim(-3, 4)
plt.show()
你需要特别考虑的一行是:
self.line.set_markerfacecolor((1, 1, 0, 0))
它位于 plot 定义之后的 __init__ 函数中。最后一个数字是 alpha 通道,我将其设为零。情节本身如下所示:
你可以拖动线标记,尽管你需要猜测它们在哪里(但我假设你有一架飞机)。
在任何情况下,如果您选择使用此示例,请确保将行数据转换为路径。
编辑:让我举一个例子来说明如何进行这条路径构建(不妨将其作为一个完整的例子):
import numpy as np
def buildpath(x,y):
path = []
for i in range(len(x)):
path.append((Path.MOVETO, (x[i], y[i])))
return path
x = np.linspace(-2,2,5)
y = x*1
pathdata = buildpath(x,y)
如果您使用它来构建您的pathdata(其余代码保持不变),您应该使用 numpy 数组获取个性化路径(就像您通常在 matplotlib 中使用绘图命令一样)。