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Python 中的 matplotlib.artist.artist.set_contains()

原文:https://www.geesforgeks.org/matplotlib-artist-artist-set_contains-in-python/

Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。艺术家类包含抽象基类，用于渲染到图形画布中的对象。图形中所有可见的元素都是艺术家的子类。

matplotlib.artist.artist.set_contains()方法

matplotlib 库的 artist 模块中的 set_contains()方法用于为 artist 定义自定义包含测试。

语法: Artist.set_contains(self，picker)

参数:该方法接受以下参数，如下所述:

  • 选取器:此参数是自定义选取器功能，用于评估事件是否在艺术家内。

返回:该方法不返回值。

下面的例子说明了 matplotlib 中的 matplotlib.artist.artist.set_contains()函数:

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:

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:

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