I'm trying to create an interactive matplotlib plot of a multidimensional function with three parameters to vary. The problem is that the parameters can vary over a very large range, so I'd rather not use sliders but directly type the value I'd like. Basically, I'd like to recreate the canonical example below where instead of sliders I'd like text boxes in which I can input parameters
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button, RadioButtons
fig, ax = plt.subplots()
plt.subplots_adjust(bottom=0.35)
t = np.arange(0.0, 1.0, 0.001)
a0 = 5
f0 = 3
s = a0*np.sin(2*np.pi*f0*t)
l, = plt.plot(t,s, lw=2, color='red')
plt.axis([0, 1, -10, 10])
ax.plot(t,t)
axcolor = 'lightgoldenrodyellow'
axamp = plt.axes([0.25, 0.25, 0.65, 0.03], axisbg=axcolor)
axfreq = plt.axes([0.25, 0.2, 0.65, 0.03], axisbg=axcolor)
sfreq = Slider(axfreq, 'Freq', 0.1, 30.0, valinit=f0)
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)
plt.show()
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