text: import numpy as np
  import pandas as pd
  from sklearn.model_selection import train_test_split
  
  ONES = pd.DataFrame(np.ones(10))
  df1 = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
  
  class MyClass:
  
      def __init__(self,df):
          self.df = df
          self.x = 1
  
  
  
  
      def null(self):
          null_list = self.df.isnull().sum()
          return null_list
  
      def dropcol(self, drop_clomuns):
          df = self.df.drop(columns=drop_clomuns)
          return df
  
  
  
  
      def split(self):
          train, test = train_test_split(self.df, train_size=.75)
          train, val = train_test_split(train, train_size=.75)
          print(train.shape, test.shape, val.shape)
          return (train, test, val)
  