text: from numpy.core.fromnumeric import size
  from scipy.stats import nbinom
  import pandas as pd
  import numpy as np
  import matplotlib.pyplot as plt
  from scipy.stats import geom
  from scipy.stats import binom
  import seaborn as sns
  from numpy import random
  
  csv = pd.read_csv(r'C:\Users\Ruan Sampaio\coviddadosma.csv', sep=";", encoding='cp1252')
  print(csv)
  df = pd.DataFrame(csv)
  print(df)
  
  print('Segue o grafico da distribuição binomial')
  n = 10
  p=0.028
  X=np.array(df["Confirmados"])
  x = binom.rvs(n,p, X)
  sns.displot(x, )
  plt.xlabel('Confirmados')
  plt.ylabel('Probabilidade')
  plt.show()
  