Python 中的 matplotlib . axis . axis . get _ contains()
原文:https://www . geesforgeks . org/matplotlib-axis-axis-get _ contains-in-python/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。这是一个神奇的 Python 可视化库，用于 2D 数组图，并用于处理更广泛的 SciPy 堆栈。
matplotlib . axis . axis . get _ contains()函数
matplotlib 库的 Axis 模块中的 Axis.get_contains()函数用于获取艺术家的自定义 contains 函数。
语法: Axis.get_contains(self)
参数:该方法不接受任何参数。
返回值:该方法返回自定义包含功能的艺术家。
下面的例子说明了 matplotlib . axis . axis . get _ contains()函数在 matplotlib.axis:
例 1:
Python 3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
from numpy.random import rand
fig, ax2 = plt.subplots()
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())
Axis.set_contains(ax2, picker = onpick1)
ax2.text(0.5, 0.8,
"Value Return : "
+ str(Axis.get_contains(ax2)),
fontweight ="bold", fontsize = 10)
fig.suptitle("""matplotlib.axis.Axis.get_contains()
function Example\n""", fontweight ="bold")
plt.show()
输出:
例 2:
Python 3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
from numpy.random import rand
fig, ax = plt.subplots()
ax.plot(rand(100), rand(100), 'o')
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()
Axis.set_contains(ax, picker = line_picker)
ax.text(0.1, 0.8,
"Value Return : "
+ str(Axis.get_contains(ax)),
fontweight ="bold", fontsize = 10)
fig.suptitle("""matplotlib.axis.Axis.get_contains()
function Example\n""", fontweight ="bold")
plt.show()
输出:
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