Matplotlib是Python中的一个库，它是数字的-NumPy库的数学扩展。 Artist类包含用于呈现到FigureCanvas中的对象的Abstract基类。图中所有可见元素都是Artist的子类。
matplotlib.artist.Artist.set_contains()方法
matplotlib库的艺术家模块中的set_contains()方法用于定义艺术家的自定义包含测试。
用法：Artist.set_contains(self, picker)
参数：此方法接受以下参数，如下所述：
- picker:此参数是自定义选择器函数，用于评估事件是否在艺术家中。
返回值：此方法不返回任何值。
以下示例说明了matplotlib中的matplotlib.artist.Artist.set_contains()函数：
范例1：
# Implementation of matplotlib function
from matplotlib.artist import Artist
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from matplotlib.patches import Rectangle
from matplotlib.text import Text
from matplotlib.image import AxesImage
import numpy as np
from numpy.random import rand
fig, (ax1, ax2) = plt.subplots(2, 1)
ax1.set_ylabel('ylabel', picker = True,
bbox = dict(facecolor ='red'))
line, = ax1.plot(rand(100), 'go-')
ax2.bar(range(10), rand(10), picker = True)
for label in ax2.get_xticklabels():
label.set_picker(True)
def onpick1(event):
if isinstance(event.artist, Line2D):
thisline = event.artist
xdata = thisline.get_xdata()
ydata = thisline.get_ydata()
ind = event.ind
print('onpick1 line:', np.column_stack([xdata[ind],
ydata[ind]]))
elif isinstance(event.artist, Rectangle):
patch = event.artist
print('onpick1 patch:', patch.get_path())
elif isinstance(event.artist, Text):
text = event.artist
print('onpick1 text:', text.get_text())
Artist.set_contains(ax2, picker = onpick1)
fig.canvas.mpl_connect('pick_event', onpick1)
fig.suptitle('matplotlib.artist.Artist.set_contains() \
function Example', fontweight ="bold")
plt.show()输出：
范例2：
# Implementation of matplotlib function
from matplotlib.artist import Artist
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from matplotlib.patches import Rectangle
from matplotlib.text import Text
from matplotlib.image import AxesImage
import numpy as np
from numpy.random import rand
def line_picker(line, mouseevent):
if mouseevent.xdata is None:
return False, dict()
xdata = line.get_xdata()
ydata = line.get_ydata()
maxd = 0.05
d = np.sqrt(
(xdata - mouseevent.xdata)**2 + (ydata - mouseevent.ydata)**2)
ind, = np.nonzero(d <= maxd)
if len(ind):
pickx = xdata[ind]
picky = ydata[ind]
props = dict(ind = ind, pickx = pickx, picky = picky)
return True, props
else:
return False, dict()
def onpick2(event):
print('Result:', event.pickx, event.picky)
fig, ax = plt.subplots()
ax.plot(rand(100), rand(100), 'o')
Artist.set_contains(ax, picker = line_picker)
fig.canvas.mpl_connect('pick_event', onpick2)
fig.suptitle('matplotlib.artist.Artist.set_contains() \
function Example', fontweight ="bold")
plt.show()输出：
注：本文由纯净天空筛选整理自SHUBHAMSINGH10大神的英文原创作品 Matplotlib.artist.Artist.set_contains() in Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。