read file csv in python

>>> import csv
>>> with open('eggs.csv', newline='') as csvfile:
...     spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|')
...     for row in spamreader:
...         print(', '.join(row))
Spam, Spam, Spam, Spam, Spam, Baked Beans
Spam, Lovely Spam, Wonderful Spam

# importing Pandas library
import pandas as pd
 
pd.read_csv(filepath_or_buffer = "pokemon.csv")
 
# makes the passed rows header
pd.read_csv("pokemon.csv", header =[1, 2])
 
# make the passed column as index instead of 0, 1, 2, 3....
pd.read_csv("pokemon.csv", index_col ='Type')
 
# uses passed cols only for data frame
pd.read_csv("pokemon.csv", usecols =["Type"])
 
# returns pandas series if there is only one column
pd.read_csv("pokemon.csv", usecols =["Type"],
                              squeeze = True)
                               
# skips the passed rows in new series
pd.read_csv("pokemon.csv",
            skiprows = [1, 2, 3, 4])