Adding a matplotlib plot to an existing plot saved as an image

If you still have the chance to run the script, which created you're original image fig-1 (which is true, if I understand you correctly), you can save the figure as *.pickle file and load it again for later adding additional stuff.

Suppose the following script creates fig-1:

# Script1
import numpy as np
import matplotlib.pyplot as plt
import pickle as pl

# Plot simple sinus function
fig_handle = plt.figure()
x = np.linspace(0,2*np.pi)
y = np.sin(x)
plt.plot(x,y)

With the following snippet, you can dump the plot (more precise the matplotlib.figure.Figure object) as e.g. fig_handle in a *.pickle file

# Save figure handle to disk
pl.dump(fig_handle, open('sinus.pickle','wb'))

You can now load the figure_handle object again in a seperate script

# Script2 
import matplotlib.pyplot as plt
import pickle as pl
import numpy as np

# Load figure from disk and display
fig_handle = pl.load(open('sinus.pickle','rb'))

and even retrieve or manipulate data from it

x_old = fig_handle.axes[0].lines[0].get_data()[0]
y_old = fig_handle.axes[0].lines[0].get_data()[1]
x_new = x_old * .75 + 1
y_new = y_old * -.35

plt.plot(x_old, y_old)
plt.plot(x_new, y_new)

so you can get your new plot overlayed on the data of the original plot

You can't do it directly. There are some worarounds:

1. You can try to edit the images, kind-like photoshop.
2. You can try to read .jpg file in python and merge it "pixel by pixel", but that's a headache. You can do it only if all axis are same. It will be something like: "if pixel is white in one and not in the other image, then take only the one with non-white". You can construct this way a photo which is merge of both. kinda like mask. But axis must be the same and image must be in same size.
3. I guess it's a simple task for NN to identify data from graph. I'm unfamiliar with a network that does that, but I it should be too hard. With that in mind, you can run it over fig-1 and extract data. Then you can create a script that combines both datas on same image.

The simplest solution will be to create both on same script... If you have access to both scripts, you modified them to return data object and plot them together.