Issue with Fetchdata.py about applied-predictive-modeling-with-python HOT 1 CLOSED

print ("Convert .RData to .csv and clean up files...")
for root, dirs, files in os.walk(datasets_folder):
    for name in files:
        # sort out .RData files
        if name.endswith('.RData'):
            name_ = os.path.splitext(name)[0]
            name_path = os.path.join(datasets_folder, name_)
            # creat sub-directory
            if not os.path.exists(name_path):
                os.makedirs(name_path)
            file_path = os.path.join(root, name)
            robj = robjects.r.load(file_path)
            # check out subfiles in the data frame
            for var in robj:
                myRData = r(var)
                
                # convert to DataFrame
                if not isinstance(myRData, pd.DataFrame) and not isinstance(myRData, pd.Categorical):
                    myRData = pd.DataFrame(myRData)
                elif isinstance(myRData, pd.Categorical):
                    myRData = pd.DataFrame({var:myRData})
                    
                var_path = os.path.join(datasets_folder,name_,var+'.csv')
                myRData.to_csv(var_path)
            os.remove(os.path.join(datasets_folder, name)) # clean up

print ("=> Success!")