如果您真的要突出顯示用戶所選的點,那麼您可以在選定的點的頂部疊加另一個點(與dot = ax.scatter(...)
)。之後,爲了響應用戶點擊,您可以使用dot.set_offsets((x, y))
更改點的位置。
Joe Kington編寫了一個wonderful example (DataCursor
)關於如何在用戶點擊藝術家時(例如散點圖)添加顯示數據座標的註釋。
這裏是一個衍生物例(FollowDotCursor
)其中突出,並且當用戶將鼠標在一個點標註的數據點。
隨着DataCursor
數據顯示的座標是在用戶點擊 - 這可能不是完全相同的座標的基礎數據。
隨着FollowDotCursor
數據顯示座標總是在其最靠近鼠標底層數據的點。
import numpy as np
import matplotlib.pyplot as plt
import scipy.spatial as spatial
def fmt(x, y):
return 'x: {x:0.2f}\ny: {y:0.2f}'.format(x=x, y=y)
class FollowDotCursor(object):
"""Display the x,y location of the nearest data point.
"""
def __init__(self, ax, x, y, tolerance=5, formatter=fmt, offsets=(-20, 20)):
try:
x = np.asarray(x, dtype='float')
except (TypeError, ValueError):
x = np.asarray(mdates.date2num(x), dtype='float')
y = np.asarray(y, dtype='float')
self._points = np.column_stack((x, y))
self.offsets = offsets
self.scale = x.ptp()
self.scale = y.ptp()/self.scale if self.scale else 1
self.tree = spatial.cKDTree(self.scaled(self._points))
self.formatter = formatter
self.tolerance = tolerance
self.ax = ax
self.fig = ax.figure
self.ax.xaxis.set_label_position('top')
self.dot = ax.scatter(
[x.min()], [y.min()], s=130, color='green', alpha=0.7)
self.annotation = self.setup_annotation()
plt.connect('motion_notify_event', self)
def scaled(self, points):
points = np.asarray(points)
return points * (self.scale, 1)
def __call__(self, event):
ax = self.ax
# event.inaxes is always the current axis. If you use twinx, ax could be
# a different axis.
if event.inaxes == ax:
x, y = event.xdata, event.ydata
elif event.inaxes is None:
return
else:
inv = ax.transData.inverted()
x, y = inv.transform([(event.x, event.y)]).ravel()
annotation = self.annotation
x, y = self.snap(x, y)
annotation.xy = x, y
annotation.set_text(self.formatter(x, y))
self.dot.set_offsets((x, y))
bbox = ax.viewLim
event.canvas.draw()
def setup_annotation(self):
"""Draw and hide the annotation box."""
annotation = self.ax.annotate(
'', xy=(0, 0), ha = 'right',
xytext = self.offsets, textcoords = 'offset points', va = 'bottom',
bbox = dict(
boxstyle='round,pad=0.5', fc='yellow', alpha=0.75),
arrowprops = dict(
arrowstyle='->', connectionstyle='arc3,rad=0'))
return annotation
def snap(self, x, y):
"""Return the value in self.tree closest to x, y."""
dist, idx = self.tree.query(self.scaled((x, y)), k=1, p=1)
try:
return self._points[idx]
except IndexError:
# IndexError: index out of bounds
return self._points[0]
x = np.random.normal(0,1.0,100)
y = np.random.normal(0,1.0,100)
fig, ax = plt.subplots()
cursor = FollowDotCursor(ax, x, y, formatter=fmt, tolerance=20)
scatter_plot = plt.scatter(x, y, facecolor="b", marker="o")
#update the colour
new_facecolors = ["r","g"]*50
scatter_plot.set_facecolors(new_facecolors)
plt.show()
我正在尋找改變一個或多個點的風格(同時使用套索或選擇器),因此添加並跟蹤多個添加的散點並不理想。不過,我喜歡跟蹤註釋的想法,snipet的代碼非常好。 – ebarr 2013-03-17 12:39:20