Can't load large file (~2gb) using Pandas or Blaze in Python -

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i have file >5 million rows , 20 fields. open in pandas, got out of memory error:

pandas.parser.cparsererror: error tokenizing data. c error: out of memory

i have read posts on similar issues , discovered blaze, following 3 methods (.data, .csv, .table), none worked apparently.

# coding=utf-8 import pandas pd pandas import dataframe, series import re import numpy np import sys import blaze bz reload(sys) sys.setdefaultencoding('utf-8')  # gave out of memory error '''data = pd.read_csv('file.csv', header=0, encoding='utf-8', low_memory=false) df = dataframe(data)  print df.shape print df.head'''  data = bz.data('file.csv')  # tried followings too, no luck '''data = bz.csv('file.csv') data = bz.table('file.csv')'''  print data print data.head(5)

output: 

_1 _1.head(5) [finished in 1.0s]

blaze

for bz.data(...) object you'll have result. loads data needed. if @ terminal , typed in 

>>> data

you head repr-ed out screen. if need use print function try

bz.compute(data.head(5))

dask.dataframe

you might consider using dask.dataframe, has similar (though subsetted) api pandas

>>> import dask.dataframe dd >>> data = dd.read_csv('file.csv', header=0, encoding='utf-8')

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