Скачать или смотреть How to Count Lines with One Comma in a Text File using Python

A step-by-step guide on how to effectively count lines containing only one comma in a text file using Python, while ignoring those with two commas.
---
This video is based on the question https://stackoverflow.com/q/66471662/ asked by the user 'Alex Fernando' ( https://stackoverflow.com/u/15225960/ ) and on the answer https://stackoverflow.com/a/66471718/ provided by the user 'James' ( https://stackoverflow.com/u/5003756/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to count the number of lines that contain only one comma separated and ignore count the lines with two comma separated in text file

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Count Lines with One Comma in a Text File using Python

When working with text files, there may be instances where you need to analyze the content for specific patterns. One common requirement is counting how many lines contain only a single comma, while ignoring those that contain more than one. This task can be easily accomplished using Python. In this guide, we will walk through the problem and provide a clear solution.

The Problem

You have a text file, and you want to count the number of lines that contain exactly one comma. Any line containing two or more commas should be ignored in the count. This can be useful in various data processing tasks, particularly when dealing with CSV files or formatted textual data.

Initial Code Attempt

Here’s the initial code you provided for counting lines in a file:

[[See Video to Reveal this Text or Code Snippet]]

While this code opens the file and attempts to split it into lines, it does not serve the purpose of counting lines with a specific condition. In fact, it just counts the total number of lines, irrespective of the comma condition.

The Solution

Let's rewrite your function to correctly count the lines with exactly one comma. The following code snippet accomplishes this:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of the Solution

Opening the File: The function starts by opening the specified text file in read mode.

[[See Video to Reveal this Text or Code Snippet]]

This ensures that the file will be closed automatically after reading.

Counting Lines: A Counter variable is initialized to keep track of the number of lines that meet the criteria.

Iterating Over Lines: The function iterates through each line of the file:

[[See Video to Reveal this Text or Code Snippet]]

Checking for Commas: For each line, it checks whether the count of commas is exactly one:

[[See Video to Reveal this Text or Code Snippet]]

Updating the Counter: If the condition is met, the Counter is incremented:

[[See Video to Reveal this Text or Code Snippet]]

Returning the Count: Finally, the function returns the count of lines that had exactly one comma.

Example Usage

Assuming you have a file named demo.txt, you can call the function like this:

[[See Video to Reveal this Text or Code Snippet]]

This will output the count of lines that only contain one comma, providing you with the analysis you need.

Conclusion

Counting lines in a text file containing a specific number of delimiters, such as commas, can be done efficiently with Python. By adjusting the initial code to utilize the count method on each line, we can achieve our goal accurately.

Feel free to use the provided function in your own projects, and remember, Python makes data processing tasks straightforward and efficient!