I am looking forward to a solution for reading a csv files that has 100 columns and 200 rows. It is stored in CDF as ‘Files’. How do I read the file and then use pandas to convert the file as a dataframe?
diet_f= (client.files.list(name='diet_daily.csv'))[0]
diet_daily_transformed = pd.read_csv(diet_f.name)
diet_daily_transformed
This isnt working and throwing an error. Please advise the best means to perform this task.