python 2.7 - Loop through csv with Pandas, specific column -

with csv module, loop through rows execute logic:

import csv  open("file.csv", "r") csv_read: r = csv.reader(csv_read, delimiter = ",") next(r, none) #skip headers first row row in rows:     #logic here 

i'm new pandas, , want execute same logic, using second column only in csv input loop.

import pandas pd  pd.read_csv("file.csv", usecols=[1]) 

assuming above correct, should here execute logic based on cells in column 2?

i want use cell values in column 2 input web crawler. takes each result , inputs search term on webpage, , scrapes data webpage. there way grab each cell value in array rather whole array @ same time?

basically pandas equivalent of code this:

import pandas pd  df = pd.read_csv("file.csv", usecols=[1]) 

so passing usecols=[1] load second column, see docs.

now assuming column has name 'url' doesn't matter can like:

def crawl(x):     #do  df.apply(crawl) 

so in principle above crawl each url in column value @ time.

edit

you can pass param axis=1 apply process each row rather entire column:

df.apply(crawl, axis=1)