Python numpy, skip columns & read csv file

Question

I've got a CSV file with 20 columns & about 60000 rows.

I'd like to read fields 2 to 20 only. I've tried the below code but the browser(using ipython) freezes & it just goes n for ages

import numpy as np
from numpy import genfromtxt

myFile = 'sampleData.csv'
myData = genfromtxt(myFile, delimiter=',', usecols(2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19)
print myData

How could I tweak this to work better & actually produce output please?

Answer 1

import pandas as pd

myFile = 'sampleData.csv'
df = pd.DataFrame(pd.read_csv(myFile,skiprows=1)) // Skipping header

print df

This works like a charm