我有下面的代码，它允许我交互式地更改Jupyter Notebook中的一个函数：

import numpy as np
from matplotlib.widgets import Slider, Button
import matplotlib.pyplot as plt
%matplotlib notebook

# Define stuff
my_func = lambda x, c: x - c

# Make plot
x = np.arange(0, 50, 1)
c_init = 10
fig, ax = plt.subplots()
line, = ax.plot(x, my_func(x, c_init), lw=2)

# adjust the main plot to make room for the sliders
fig.subplots_adjust(left=0.25, bottom=0.25)

# Make a vertically oriented slider to control the stock volume
ax_c = fig.add_axes([0.1, 0.25, 0.0225, 0.63])
c_slider = Slider(
    ax=ax_c,
    label="My function",
    valmin=-100,
    valmax=100,
    valinit=c_init,
    orientation="vertical"
)

# The function to be called anytime a slider's value changes
def update(val):
    line.set_ydata(my_func(x, c_slider.val))
    fig.canvas.draw_idle()
    
# register the update function with each slider
c_slider.on_changed(update)

# Create a `matplotlib.widgets.Button` to reset the sliders to initial values.
resetax = fig.add_axes([0.8, 0.025, 0.1, 0.04])
button = Button(resetax, 'Reset', hovercolor='0.975')

def reset(event):
    c_slider.reset()
button.on_clicked(reset)

plt.show()

虽然它工作得很好，但当我改变常量时，y轴的缩放不正确。我试图使用ax.autoscale()，fig.autoscale()和update函数中的一堆其他东西来修复这个问题，但它不起作用。有人知道如何做到这一点吗？
谢谢你的帮助。