Rows are lost when reading this tab-separated file with pandas read_csv

问题

I have a .text file with following format, where fields (index number, name and message) are separated by \t (tab-separated):

712 ben     Battle of the Books
713 james   i used to be in TOM
714 tomy    i was in BOB once
715 ben Tournaments of Minds
716 tommy    Also the Lion in the upcoming school play
717 tommy   Can you guess
718 tommy    P
...

which I read with read_csv into a data frame:

 chat = pd.read_csv("f.text", sep = "\t", header = None, usecols = [2])

But the data frame just has 9812 rows while the ordinary file has more than 12428 rows (just 21 empty lines). It is quite weird. Do you have any idea? Thanks.

回答1:

I think you need add parameter quoting:

import csv

chat = pd.read_csv("f.text",sep = "\t", header = None, usecols = [2], quoting=csv.QUOTE_NONE)

来源：https://stackoverflow.com/questions/35598249/rows-are-lost-when-reading-this-tab-separated-file-with-pandas-read-csv