create pandas dataframe from csv code example

Example 1: save pandas into csv

df.to_csv(r'Path where you want to store the exported CSV file\File Name.csv', index = False)

Example 2: save dataframe to csv

df.to_csv(file_name, sep='\t')

Example 3: pandas go through csv file

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

Example 4: save dataframe as csv

df.to_csv(r'Path where you want to store the exported CSV file\File Name.csv')