pandas go through csv file

data = pd.read_csv(<br /> “data/files/complex_data_example.tsv”, # relative python path to subdirectory<br /> sep=’\t’ # Tab-separated value file.<br /> quotechar=”‘”, # single quote allowed as quote character<br /> dtype={“salary”: int}, # Parse the salary column as an integer<br /> usecols=[‘name’, ‘birth_date’, ‘salary’]. # Only load the three columns specified.<br /> parse_dates=[‘birth_date’], # Intepret the birth_date column as a date<br /> skiprows=10, # Skip the first 10 rows of the file<br /> na_values=[‘.’, ‘??’] # Take any ‘.’ or ‘??’ values as NA<br /> )