code: import numpy as np
  import pandas as pd
  from matplotlib import pyplot as plt
  
  df = pd.read_csv('data/dataset.csv', encoding='utf-8')
  
  
  def plot_df_counts(df):
      x_ticks = np.asarray(list(set(df['count'])))
      xx = np.arange(np.max(x_ticks) + 1)
      yy = np.bincount(df['count'])
  
      for x, y in zip(xx, yy):
          print("{}->{}\t".format(x, y), end='')
  
      plt.bar(xx, yy)
      plt.title('Stroke Counts of Characters')
      plt.xlabel('Number of Strokes')
      plt.ylabel('Number of Characters')
      #     plt.savefig('counts.eps')
      plt.show()
  
  
  print('numdata = {}\n'.format(np.sum((df['count'] > 30) | (df['count'] == 1))))
  
  df = df[(df['count'] <= 30) & (df['count'] != 1)]
  plot_df_counts(df)
  print(df.shape)
  
apis: numpy.sum numpy.bincount pandas.read_csv matplotlib.pyplot.title matplotlib.pyplot.show matplotlib.pyplot.ylabel numpy.max matplotlib.pyplot.xlabel matplotlib.pyplot.bar