Python Forum

Hello,

I have a data set that I have shifted by a certain amount.
The unshifted and shifted data set are plotted as you can see in the attached figure.

using

...
plt.plot(t+fwhm, Vs/np.max(Vs), color='r')
plt.plot(t, Vs/np.max(Vs))

how can the sum of the shifted and unshifted data set be plotted?

Both t and Vs datasets are of type <class 'numpy.ndarray'>.

Regards,
xquad

I tried:

import matplotlib.pyplot as plt
from scipy import interpolate
x = t
y = Vs
f = interpolate.interp1d(x, y, fill_value = 'extrapolate')
xnew = t + fwhm
ynew = f(xnew)
plt.plot(x, y, 'o', xnew, ynew, 'k')
plt.xlim(-0.25e-7, 0.25e-7)
plt.show()

but the interpolated data will not be shifted...

ah found it:

xnew = t + fwhm
print(np.max(xnew), np.max(t))
ynew = f(xnew)   # use interpolation function returned by `interp1d`
print(np.argmax(ynew), np.argmax(y))
plt.plot(x, y)
plt.plot(x, ynew, 'r')
plt.plot(x, y+ynew)
plt.xlim(-0.25e-7, 0.25e-7)
plt.show()

its visible shifted if plotted on the same axis. (I found it after noticing a difference in np.argmax())

Thanks for sharing the solution.