mirror of
https://github.com/Estom/notes.git
synced 2026-02-07 12:35:20 +08:00
64 lines
1.7 KiB
Markdown
64 lines
1.7 KiB
Markdown
# 滑块演示
|
|
|
|
使用滑块小部件来控制绘图的可视属性。
|
|
|
|
在此示例中，滑块用于选择正弦波的频率。 您可以通过这种方式控制绘图的许多连续变化属性。
|
|
|
|
|
|
|
|
```python
|
|
import numpy as np
|
|
import matplotlib.pyplot as plt
|
|
from matplotlib.widgets import Slider, Button, RadioButtons
|
|
|
|
fig, ax = plt.subplots()
|
|
plt.subplots_adjust(left=0.25, bottom=0.25)
|
|
t = np.arange(0.0, 1.0, 0.001)
|
|
a0 = 5
|
|
f0 = 3
|
|
delta_f = 5.0
|
|
s = a0*np.sin(2*np.pi*f0*t)
|
|
l, = plt.plot(t, s, lw=2, color='red')
|
|
plt.axis([0, 1, -10, 10])
|
|
|
|
axcolor = 'lightgoldenrodyellow'
|
|
axfreq = plt.axes([0.25, 0.1, 0.65, 0.03], facecolor=axcolor)
|
|
axamp = plt.axes([0.25, 0.15, 0.65, 0.03], facecolor=axcolor)
|
|
|
|
sfreq = Slider(axfreq, 'Freq', 0.1, 30.0, valinit=f0, valstep=delta_f)
|
|
samp = Slider(axamp, 'Amp', 0.1, 10.0, valinit=a0)
|
|
|
|
|
|
def update(val):
|
|
amp = samp.val
|
|
freq = sfreq.val
|
|
l.set_ydata(amp*np.sin(2*np.pi*freq*t))
|
|
fig.canvas.draw_idle()
|
|
sfreq.on_changed(update)
|
|
samp.on_changed(update)
|
|
|
|
resetax = plt.axes([0.8, 0.025, 0.1, 0.04])
|
|
button = Button(resetax, 'Reset', color=axcolor, hovercolor='0.975')
|
|
|
|
|
|
def reset(event):
|
|
sfreq.reset()
|
|
samp.reset()
|
|
button.on_clicked(reset)
|
|
|
|
rax = plt.axes([0.025, 0.5, 0.15, 0.15], facecolor=axcolor)
|
|
radio = RadioButtons(rax, ('red', 'blue', 'green'), active=0)
|
|
|
|
|
|
def colorfunc(label):
|
|
l.set_color(label)
|
|
fig.canvas.draw_idle()
|
|
radio.on_clicked(colorfunc)
|
|
|
|
plt.show()
|
|
```
|
|
|
|
## 下载这个示例
|
|
|
|
- [下载python源码: slider_demo.py](https://matplotlib.org/_downloads/slider_demo.py)
|
|
- [下载Jupyter notebook: slider_demo.ipynb](https://matplotlib.org/_downloads/slider_demo.ipynb) |