How to make separator in pandas read_csv more flexible wrt whitespace, for irregular separators?

Question

I need to create a data frame by reading in data from a file, using read_csv method. However, the separators are not very regular: some columns are separated by tabs (\t), other are separated by spaces. Moreover, some columns can be separated by 2 or 3 or more spaces or even by a combination of spaces and tabs (for example 3 spaces, two tabs and then 1 space).

Is there a way to tell pandas to treat these files properly?

By the way, I do not have this problem if I use Python. I use:

for line in file(file_name):    fld = line.split() 

And it works perfect. It does not care if there are 2 or 3 spaces between the fields. Even combinations of spaces and tabs do not cause any problem. Can pandas do the same?

Answer 1

From the documentation, you can use either a regex or delim_whitespace:

>>> import pandas as pd >>> for line in open("whitespace.csv"): ...     print repr(line) ...      'a\t  b\tc 1 2\n' 'd\t  e\tf 3 4\n' >>> pd.read_csv("whitespace.csv", header=None, delimiter=r"\s+")    0  1  2  3  4 0  a  b  c  1  2 1  d  e  f  3  4 >>> pd.read_csv("whitespace.csv", header=None, delim_whitespace=True)    0  1  2  3  4 0  a  b  c  1  2 1  d  e  f  3  4