Matplotlib是Python中的一个库，它是数字的-NumPy库的数学扩展。轴类包含大多数图形元素：Axis，Tick，Line2D，Text，Polygon等，并设置坐标系。 Axes实例通过callbacks属性支持回调。
matplotlib.axes.Axes.set_contains()函数
matplotlib库的axiss模块中的Axes.set_contains()函数用于定义艺术家的自定义包含测试。
用法： Axes.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.axes中的matplotlib.axes.Axes.set_contains()函数：
范例1：
# Implementation of matplotlib function
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())
ax2.set_contains(onpick1)
fig.suptitle('matplotlib.axes.Axes.set_contains() function\
Example', fontweight ="bold")
plt.show()输出：
范例2：
# Implementation of matplotlib function
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')
ax.set_contains(picker = line_picker)
fig.canvas.mpl_connect('pick_event', onpick2)
fig.suptitle('matplotlib.axes.Axes.set_contains()\
function Example', fontweight ="bold")
plt.show()输出：
相关用法
注：本文由纯净天空筛选整理自SHUBHAMSINGH10大神的英文原创作品 Matplotlib.axes.Axes.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。