different way to plot the result in the example code

Example.py

 from LightSimtastic import SiPMSimulation
 import matplotlib.pyplot as plt
-
+import numpy as np
 
 #################################
 # THE SIMULATION TOOL TAKES A DICTIONARY AS AN INPUT, WITH EACH OF THE VARIABLES AS KEYS.
@@ -80,14 +80,14 @@ Qs = df.iloc[0]["ChargeSpectrum"]
 # PLOT
 #################################
 
- 
- 
 plt.figure(figsize=(15.5,10.5))
-plt.hist(Qs, label="Simulated Charge Spectrum", bins=1000)
+H, edges = np.histogram(Qs, bins=1000)
+edges = edges[:-1]+(edges[1]-edges[0])
+plt.plot(edges, H)
+plt.title("Simulated Charge Spectrum")
 plt.yscale("log")
 plt.xticks(fontsize=25)
 plt.yticks(fontsize=25)
 plt.xlabel("# GD", fontsize=25),
 plt.savefig("./Example.png")
-plt.legend(fontsize=25)