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In computer programming, the detection and handling of keypress events are fundamental for capturing user input and enabling various functionalities within applications. Whether it”s navigating through menus, entering text, triggering actions, or controlling interactive elements, keypress events play a crucial role in user interaction.
Matplotlib provides the tools for handling the keypress events, allowing you to capture and respond to keyboard inputs during interactive plotting sessions. When a key is pressed, Matplotlib triggers the key_press_event, allowing users to define custom actions based on the pressed keys.
The library attaches some keypress callbacks by default for enhanced interactivity. These default callbacks are documented in the Navigation keyboard shortcuts section of the Matplotlib documentation.
Example
Let”s see this basic example, which demonstrates the default keypress events in Matplotlib.
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
On executing the above program you will get the following figure, and press any key to observe the working of this example −
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
Watch the video below to observe how this keypress event feature works here.
From the above output, you can observe the working of some of the default keys like ”g” (toggling the grid), ”s” (saving the figure), ”q” (closing the figure), and more.
Creating a Custom Keypress Event Function
To handle keypress events to specific needs, you can create a custom function and connect it to the key_press_event using the mpl_connect method.
Example
The following example demonstrates a simple keypress event function that toggles the visibility of an xlabel when the ”x” key is pressed.
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()
Output
On executing the above program you will get the following figure, and press any key to observe the working of this example −
Pressed key: x Pressed key: x Pressed key: x Pressed key: x Pressed key: a Pressed key: enter
Watch the video below to observe how this keypress event feature works here.
Example
Here is another example that demonstrates how to add the escape key to exit the figure in addition to the “q” key and also it calculates the how many number of times the enter key is pressed.
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)
Output
On executing the above program you will get the following figure, and press any key to observe the working of this example −
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]
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