Matplotlib 简明教程
Matplotlib - Keypress Event
在计算机编程中,检测和处理 keypress events 是捕捉用户输入和启用应用程序中各种功能的基础。无论是浏览菜单、输入文本、触发动作还是控制交互元素,按键事件在用户交互中起着至关重要的作用。
Matplotlib 提供了处理按键事件的工具,使您能够捕获和响应交互式绘图会话期间的键盘输入。当按下键时,Matplotlib 将触发 key_press_event ,允许用户根据按下的键定义自定义操作。
该库默认附加一些按键回调,以增强交互性。这些默认回调在 Matplotlib 文档的键盘导航快捷方式部分中进行了记录。
Example
让我们看看此基本示例,它演示了 Matplotlib 中的默认按键事件。
import numpy as np
import matplotlib.pyplot as plt
# Define a function to handle keypress events
def press(event):
print('You pressed:', event.key)
# Create a Matplotlib figure and axis
fig, ax = plt.subplots()
# Connect the keypress event handler to the figure canvas
cid = fig.canvas.mpl_connect('key_press_event', press)
# Plot sin wave
x = np.linspace(0, 10, 100)
ax.plot(x, np.sin(x))
# Display the plot
plt.show()
Output
在执行上述程序时,您将得到以下图像,并且按下任何键以观察此示例的工作 −
You pressed: tab
You pressed: caps_lock
You pressed: shift
You pressed: control
You pressed: alt
You pressed: meta
You pressed: a
You pressed: b
You pressed: c
You pressed: d
You pressed: s
You pressed: g
You pressed: g
You pressed: g
You pressed: g
You pressed: k
You pressed: k
You pressed: k
You pressed: k
You pressed: k
You pressed: k
You pressed: l
You pressed: l
You pressed: p
You pressed: p
You pressed: q
观看下面的视频,了解此按键事件功能在此处的工作方式。
从以上输出中,您可以观察到一些默认键,如“g”(切换网格,“s”(保存图像,“q”(关闭图像)等。
Creating a Custom Keypress Event Function
要根据特定需求处理按键事件,您可以创建自定义函数,并使用 mpl_connect 方法将它连接到 key_press_event 。
Example
以下示例演示了一个简单的按键事件函数,当按下“x”键时,该函数切换 x 轴标签的可见性。
import sys
import matplotlib.pyplot as plt
import numpy as np
def on_press(event):
print('Pressed key:', event.key)
sys.stdout.flush()
# Toggle visibility of xlabel when 'x' key is pressed
if event.key == 'x':
visible = xl.get_visible()
xl.set_visible(not visible)
fig.canvas.draw()
fig, ax = plt.subplots()
fig.canvas.mpl_connect('key_press_event', on_press)
# Plot random data points
ax.plot(np.random.rand(12), np.random.rand(12), 'go')
xl = ax.set_xlabel('Toggle this label when the "x" key is pressed',
fontsize=16, color='red')
ax.set_title('Press x key')
plt.show()
在执行上述程序时,您将得到以下图像,并且按下任何键以观察此示例的工作 −
Pressed key: x
Pressed key: x
Pressed key: x
Pressed key: x
Pressed key: a
Pressed key: enter
观看下面的视频,了解此按键事件功能在此处的工作方式。
Example
这是另一个示例,它演示了如何添加 escape 键来退出图像除了 "q" 键,并且它还会计算 enter 键按下的次数。
import numpy as np
import matplotlib.pyplot as plt
# Define a function to handle keypress events
def press(event):
print('Pressed key:', event.key)
# If the 'enter' key is pressed, append 1 to the count list
if event.key == 'enter':
cnt.append(1)
# If the 'escape' key is pressed, close the plot
if event.key == "escape":
plt.close()
cnt = []
# Create a figure
fig, ax = plt.subplots()
# Connect the keypress event handler to the figure canvas
fig.canvas.mpl_connect('key_press_event', press)
ax.plot(np.random.rand(12), np.random.rand(12), 'go')
plt.show()
# Calculate and print the sum of counts
result = sum(cnt)
print(result, cnt)
在执行上述程序时,您将得到以下图像,并且按下任何键以观察此示例的工作 −
Pressed key: b
Pressed key: enter
Pressed key: enter
Pressed key: caps_lock
Pressed key: caps_lock
Pressed key: enter
Pressed key: escape
3 [1, 1, 1]