Tensorflow Probability, what is the probability that of 6 randomly selected patients, 4 will recover? article support

tf_probability_hospital_example.py

#tensorflow and tensorflow_probability imports
import tensorflow as tf
import tensorflow_probability as tfp

#matplotlib import for visualizations
import matplotlib.pyplot as plt;

# numpy to support transformation and visualiation
import numpy as np;

# I'm going to use eager mode and a shortcut to distributions
tfe = tf.contrib.eager
tfd = tfp.distributions

sess = tf.InteractiveSession()

# Model
n = 6.
count = tf.range(
    start=0.,
    limit= n +1)

p = tf.constant([0.25])
dist = tfd.Binomial(total_count=n, probs=p).prob(count)

# dist.eval() support elements if is needed

# Support function to convert tensor to np
def tensorConvertor(tensors):
  if tf.executing_eagerly():
    return tf.contrib.framework.nest.pack_sequence_as(
        tensors,
        [t.numpy() if tf.contrib.framework.is_tensor(t) else t
         for t in tf.contrib.framework.nest.flatten(tensors)])
  return sess.run(tensors)

dist_np= tensorConvertor(dist) #Support function

# Visualization
for i, v in enumerate(dist_np):
  objects = (0, 1, 2, 3, 4, 5, 6)
  y_pos = np.arange(len(objects))

  plt.barh(y_pos, dist_np, align='center', alpha=0.5)
  plt.ylabel('Patients')
  plt.xlabel('Probability')
  plt.title('Recorver probability patients Hospital')
  plt.text(v, i , str(v), color='green', fontweight='bold')