convert csv to dataframe in python code example

Example 1: convert csv to pandas dataframe

import pandas as pd
df = pd.read_csv("sample_data.csv")

# .csv file format
column1,column2
1,2
3,4
5,6

# pandas dataframe
   column1  column2
0        1        2
1        3        4
2        5        6

Example 2: 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
)