Optimal way to display data with different ranges - python-3.x

Question

I have an application which I pull data from an FPGA & display it for the engineers. Good application ... until you start displaying data which are extremely different in ranges...
say: a signal perturbating around +4000 and another around zero (both with small peak-peak).
At the moment the only real workaround is to "export to csv" and then view in Excel but I would like to improve the application so that this isn't needed
Option 1 is a more dynamic pointer that will give you readings of ALL visible plots for the present x
Option 2. Multiple Y axis. This is where it gets a bit ... tight with respect to UI area.
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
import numpy as np
t = np.arange(0,1,0.00001)
data = [5000*np.sin(t*2*np.pi*10),
10*np.sin(t*2*np.pi*20),
20*np.sin(t*2*np.pi*30),
np.sin(t*2*np.pi*40)+5000,
np.sin(t*2*np.pi*50)-5000,
np.sin(t*2*np.pi*60),
np.sin(t*2*np.pi*70),
]
fig = plt.figure()
host = host_subplot(111, axes_class=AA.Axes)
axis_list = [None]*7
for i in range(len(axis_list)):
axis_list[i] = host.twinx()
new_axis = axis_list[i].get_grid_helper().new_fixed_axis
axis_list[i].axis['right'] = new_axis(loc='right',
axes=axis_list[i],
offset=(60*i,0))
axis_list[i].axis['right'].toggle(all=True)
axis_list[i].plot(t,data[i])
plt.show()
for i in data:
plt.plot(t,i)
plt.show()
This code snippet doesn't contain any figure resize to ensure all 7 y-axis are visible BUT ignoring that, you can see it is quite large...
Any advice with respect to multi-Y or a better solution to displaying no more than 7 datasets?