text: import numpy as np 
  import pandas as pd 
  import os 
  import seaborn as sns
  import matplotlib.pyplot as plt
  from matplotlib.gridspec import GridSpec
  
  PATH = os.getcwd()
  
  N = np.load(PATH + '/data/N_features.npy')
  F = np.load(PATH + '/data/F_features.npy')
  
  d = np.vstack((N,F))
  col = ['Kur','Skew','Var','Eng']
  data = pd.DataFrame(data=d,columns=col)
  
  y = np.hstack((np.repeat('Não focal',len(d)//2),np.repeat('Focal',len(d)//2)))
  data['Type'] = y
  #teste
  
  # Boxplot -----------------------------------------------
  fig = plt.figure()
  gs = GridSpec(ncols=2,nrows=2,figure=fig)
  
  ax1 = fig.add_subplot(gs[0,0])
  sns.boxplot(x='Type', y='Kur',
               hue="Type", data=data,ax=ax1)
  
  ax2 = fig.add_subplot(gs[0,1])
  sns.boxplot(x='Type', y='Skew',
               hue="Type", data=data,ax=ax2)
  
  ax3 = fig.add_subplot(gs[1,0])
  sns.boxplot(x='Type', y='Var',
               hue="Type", data=data,ax=ax3)
  
  ax4 = fig.add_subplot(gs[1,1])
  sns.boxplot(x='Type', y='Eng',
               hue="Type", data=data,ax=ax4)
  
  plt.show()