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[Tut] Python Convert Markdown Table to CSV
1
Python Convert Markdown Table to CSV

5/5 – (1 vote)

Problem

Given the following Markdown table stored in
Code:
'my_file.md'
:

Code:
| 1 | 2 | 3 | 4 | 5 | |-------|-----|------|------|------| | 0 | 0 | 0 | 0 | 0 | | 5 | 4 | 3 | 2 | 1 | | alice | bob | carl | dave | emil |

[Image: 1f40d.png] Python Challenge: How to convert the Markdown table to a CSV file
Code:
'my_file.csv'
?

[Image: image-97.png]

Solution

To convert a Markdown table
Code:
.md
file to a CSV file in Python, first read the Markdown table file by using the
Code:
f.readlines()
method on the opened file object
Code:
f
, by splitting along the markdown table separator symbol
Code:
'|'
. Clean up the resulting list (row-wise) and add all rows to a single list of lists. Then create a DataFrame from the list of lists and use the
Code:
DataFrame.to_csv()
method to write it to a CSV file.

An example is shown in the following script that you can use for your own conversion exercise by replacing only the in-file and out-file names highlighted below:

Code:
import pandas as pd # Convert the Markdown table to a list of lists with open('my_file.md') as f: rows = [] for row in f.readlines(): # Get rid of leading and trailing '|' tmp = row[1:-2] # Split line and ignore column whitespace clean_line = [col.strip() for col in tmp.split('|')] # Append clean row data to rows variable rows.append(clean_line) # Get rid of syntactical sugar to indicate header (2nd row) rows = rows[:1] + rows[2:] print(rows) df = pd.DataFrame(rows) df.to_csv('my_file.csv', index=False, header=False)

The resulting CSV file
Code:
'my_file.csv'
:

Code:
1,2,3,4,5 0,0,0,0,0 5,4,3,2,1 alice,bob,carl,dave,emil
Learn More

[Image: 1f30d.png] Background Tutorials: The code uses a multitude of Python features. Check out these articles to learn more about them:
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