python probabilty of occurance histogram

Question

I´m trying to write a script to get a histogram with a probability of occurrences/frequency on the y-axis. So far I have a script to plot a histogram without probability, but I´d like to divide the counts in each bin by the total amount of counts that are in the file (around 500k counts), any suggestions?

sns.set(style="whitegrid")
data = df['sample1']
data2 = df1['sample2']


plt.figure(figsize=(8,6))
plt.hist(data,  bins=100,  range=(-0.4,0.1), density = True, color = "lightgrey",edgecolor = "black") # , label="sample1"
plt.hist(data2,  bins=100, range=(-0.4,0.1), density = True ,color="red", edgecolor = "black")# , label="sapmple2"

#straight dshed line 
thresh = 0.0
plt.axvline(x=thresh, color='black', linestyle='--', linewidth=1.8)
plt.xlabel("Change ", size=14)
plt.ylabel("Count", size=14)