You can convert the raster to a numpy array using numpy and arcpy.
http://pro.arcgis.com/en/pro-app/arcpy/functions/rastertonumpyarray-function.htm
You can then use matplotlib to plot both if you need to. You might have to rearrange the Y depending how the graph
a = np.random.randint(0, 10, size=(10, 5)) # a sample raster
x= np.mean(a, axis=1) # the mean by row
y = np.arange(9, -1, -1)
xy = np.array(list(zip(x, y)))
a
array([[5, 1, 4, 7, 4],
[9, 9, 9, 0, 2],
[7, 6, 8, 3, 4],
[6, 5, 3, 3, 8],
[0, 2, 0, 0, 3],
[7, 8, 1, 2, 2],
[2, 4, 0, 6, 2],
[8, 3, 2, 8, 9],
[3, 8, 9, 2, 8],
[2, 4, 9, 5, 6]])
x
array([4.2, 5.8, 5.6, 5. , 1. , 4. , 2.8, 6. , 6. , 5.2])
y
array([9, 8, 7, 6, 5, 4, 3, 2, 1, 0])
xy
Out[20]:
array([[4.2, 9. ],
[5.8, 8. ],
[5.6, 7. ],
[5. , 6. ],
[1. , 5. ],
[4. , 4. ],
[2.8, 3. ],
[6. , 2. ],
[6. , 1. ],
[5.2, 0. ]])