Error tokenizing data. C error: out of memory pandas python, large file csv

问题

I have a large csv file of 3.5 go and I want to read it using pandas.

This is my code:

import pandas as pd
tp = pd.read_csv('train_2011_2012_2013.csv', sep=';', iterator=True, chunksize=20000000, low_memory = False)
df = pd.concat(tp, ignore_index=True)

I get this error:

pandas/parser.pyx in pandas.parser.TextReader.read (pandas/parser.c:8771)()

pandas/parser.pyx in pandas.parser.TextReader._read_rows (pandas/parser.c:9731)()

pandas/parser.pyx in pandas.parser.TextReader._tokenize_rows (pandas/parser.c:9602)()

pandas/parser.pyx in pandas.parser.raise_parser_error (pandas/parser.c:23325)()

CParserError: Error tokenizing data. C error: out of 

The capacity of my ram is 8 Go.

回答1:

try this bro:

mylist = []

for chunk in  pd.read_csv('train_2011_2012_2013.csv', sep=';', chunksize=20000):
    mylist.append(chunk)

big_data = pd.concat(mylist, axis= 0)
del mylist

回答2:

You may try setting error_bad_lines = False when calling the csv file i.e.

import pandas as pd
df = pd.read_csv('my_big_file.csv', error_bad_lines = False)

回答3:

This error could also be caused by the chunksize=20000000. Decreasing that fixed the issue in my case. In ℕʘʘḆḽḘ's solution chunksize is also decreased which might have done the trick.

来源：https://stackoverflow.com/questions/41303246/error-tokenizing-data-c-error-out-of-memory-pandas-python-large-file-csv