The easiest way to convert a space-delimited file to a comma-separated values (CSV) file is to use the following three lines of code:
import pandas as pddf = pd.read_csv('my_file.txt', sep='\s+', header=None)df.to_csv('my_file.csv', header=None)
We’ll explain this and other approaches in more detail next—scroll down to Method 3 for this exact method.
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Problem Formulation
Given a space-delimited file with one or more empty spaces between two values in a given column
Input: 'my_file.txt'
Alice DataScience $100000
Bob Programmer $90000
Carl Manager $122000
Dave Freelancer $144000How to convert the space-delimited values to a comma-separated values (CSV) file?
Output: 'my_file.csv'
0,Alice,DataScience,$100000
1,Bob,Programmer,$90000
2,Carl,Manager,$122000
3,Dave,Freelancer,$144000We’ll also look at slight variations of this problem. Let’s go!
Method 1: String Replace Single Whitespace
The most straightforward way to convert a space-delimited to a comma-separated (CSV) file in Python is to replace each empty space ' ' with a comma ',' character using the string.replace() method. This works if two values are separated by exactly one empty space.
Here’s an example input file 'my_file.txt':
Alice DataScience $100000
Bob Programmer $90000
Carl Manager $122000
Dave Freelancer $144000Here’s an example of some code to convert the space-delimited file to the CSV file:
with open('my_file.txt') as infile:
# Read space-delimited file and replace all empty spaces by commas
data = infile.read().replace(' ', ',')
# Write the CSV data in the output file
print(data, file=open('my_file.csv', 'w'))
Output file 'my_file.csv':
Alice,DataScience,$100000
Bob,Programmer,$90000
Carl,Manager,$122000
Dave,Freelancer,$144000If you have any doubts, feel free to dive into our related tutorials:
- Python String Replace Method
- Python
open()Function - Python
print()to File - Python
print()Function - Python Context Managers
Method 2: Regex Replace Arbitrary Whitespace
To replace one or more empty spaces between two column values with a comma ',' and obtain a CSV, use the regular expressions operation re.sub('[ ]+', ',', data) on the space-separated data. If you also need to replace tabular characters, use re.sub('[ \t]+', ',', data) instead.
If you have any doubts, feel free to dive into our related tutorials:
- Python Regex
re.sub() - Python Regex
[]Character Class - Python Regex
+Quantifier - Python Regex Superpower
Here’s an example input file 'my_file.txt', notice the additional whitespaces that may separate two column values:
Alice DataScience $100000
Bob Programmer $90000
Carl Manager $122000
Dave Freelancer $144000Here’s an example of some code to convert the space-delimited file to the CSV file:
import re
with open('my_file.txt') as infile:
# Read space-delimited file and replace all empty spaces by commas
data = re.sub('[ ]+', ',', infile.read())
# Write the CSV data in the output file
print(data, file=open('my_file.csv', 'w'))Output file 'my_file.csv':
Alice,DataScience,$100000
Bob,Programmer,$90000
Carl,Manager,$122000
Dave,Freelancer,$144000Method 3: Pandas read_csv() and to_csv()
To convert a space-delimited file to a CSV, first read the file into a Pandas DataFrame using pd.read_csv(filename, sep='\s+', header=None) and then write the DataFrame to a file using df.to_csv(outfilename, header=None).
Here’s an example input file 'my_file.txt':
Alice DataScience $100000
Bob Programmer $90000
Carl Manager $122000
Dave Freelancer $144000Here’s an example of some code to convert the space-delimited file to the CSV file:
import pandas as pd
# Read space-delimited file
df = pd.read_csv('my_file.txt', sep='\s+', header=None)
# Write DataFrame to file
df.to_csv('my_file.csv', header=None)
Output file 'my_file.csv':
0,Alice,DataScience,$100000
1,Bob,Programmer,$90000
2,Carl,Manager,$122000
3,Dave,Freelancer,$144000If you have any doubts, feel free to dive into our related tutorials:
Summary
We examined three great ways to convert a space-delimited to a comma-separated CSV file:
- Method 1: String Replace Single Whitespace
- Method 2: Regex Replace Arbitrary Whitespace
- Method 3: Pandas
read_csv()andto_csv()
Thanks for taking the time to read this article, my friend! ππ
Regex Humor
