math = pd.read_csv("Maths.csv")

average = 10

math['Above Average'] = ['y' if x > average else 'n' for x in math['G3']]

above_avg = sum(math['Above Average'] == 'y')

below_avg = sum(math['Above Average'] == 'n')

print(f'Number of students above average: {above_avg}')

print(f'Number of students below average: {below_avg}')

math[math['Above Average'] == 'y'].hist(column='age', color='pink')

plt.title('Age of people with grade above average')

plt.xlabel("Age")

plt.ylabel("Frequency")

math[math['Above Average'] == 'n'].hist(column='age', color='black')

plt.title('Age of people with grade below average')

plt.xlabel("Age")

plt.ylabel("Frequency")

plt.show()

I need to write a code with the same functionality as the one above, but using pyplot.express

It should look similar to : fig=px.histogram(df, x=' ', color=' ' , barnorm= 'percent')