[FIXED] Percentage above bars in histogram plot

Issue

I'm trying to plot an histogram with percetages above the bars, this is my actual code

import matplotlib.pyplot as plt
from numpy import random
Nombres_de_Pila = ["Alejandro", "Eric", "Mari", "Ruben", "Daniela", "Ana", "Ximena", "Ramón", "Diego",
                     "Fernanda", "José", "Lucia", "Alondra", "Saul", "Pilar", "Luis", "Victoria", "Lucas","Beatriz", "Elisa" ]
Apellidos = ["Martorell","Barroso","Galiano","Nava","Alcaraz","Peña","Varela","Romero","Rincón","Pineda",
              "Acuña","Pino","Arjona","Jimenez","Maroto","Carranza","Bosch","Costa","Godoy","Lopez"]
Eventos = random.choice(["11","12","21","22","31","32"], p=[0.1, 0.3,0.05,0.5,0.02,0.03], size = 1000)
Eventos = Eventos.tolist()
plt.hist(Eventos)
plt.xlabel('Número de nombres, Número de apellidos')
plt.ylabel('Count')
plt.title('Histograma nombres generados\n\n',
        fontweight = "bold")

And this is the output: Histogram

Solution

As per the duplicate.

Nombres_de_Pila = ["Alejandro", "Eric", "Mari", "Ruben", "Daniela", "Ana", "Ximena", "Ramón", "Diego",
                     "Fernanda", "José", "Lucia", "Alondra", "Saul", "Pilar", "Luis", "Victoria", "Lucas","Beatriz", "Elisa" ]
Apellidos = ["Martorell","Barroso","Galiano","Nava","Alcaraz","Peña","Varela","Romero","Rincón","Pineda",
              "Acuña","Pino","Arjona","Jimenez","Maroto","Carranza","Bosch","Costa","Godoy","Lopez"]

np.random.seed(2023)
Eventos = np.random.choice(["11","12","21","22","31","32"], p=[0.1, 0.3,0.05,0.5,0.02,0.03], size = 1000)

plt.hist(Eventos)

# get the current axes and containers
c = plt.gca().containers[0]

# add the bar labels 
plt.bar_label(c, labels=[v.get_height()/len(Eventos) for v in c])
# plt.bar_label(c, fmt=lambda x: x/len(Eventos) if x > 0 else '')  # also works and doesn't annotate where the bar height is 0

# space between label and top of plot
plt.margins(y=0.1)

plt.xlabel('Número de nombres, Número de apellidos')
plt.ylabel('Count')
plt.title('Histograma nombres generados\n\n', fontweight = "bold")

Answered By - Trenton McKinney