Bootsrapping of a pandas dataframe

bootsrap_df.py

# self - an instance of the RandomForestClassifier class
# self.X - pandas dataframe containing feature information 
# self.Y - a list of binary response variable 
# self.X_obs_fraction - a float in range [0, 1] 

def bootstrap_sample(self):
    """
    Function that creates a bootstraped sample with the class instance parameters 
    """
    # Sampling the number of rows with repetition
    Xbootstrap = self.X.sample(frac=self.X_obs_fraction, replace=True) 

    # Getting the index of samples 
    indexes = Xbootstrap.index

    # Getting the corresponding Y variables
    Ybootstrap = [self.Y[x] for x in indexes]

    # Droping the index of X 
    Xbootstrap.reset_index(inplace=True, drop=True)

    # Returning the X, Y pair
    return Xbootstrap, Ybootstrap