Скачать или смотреть How to Read a File in Python with Semi-Colon Separated Values

Learn how to easily read a file in Python that contains text separated by semicolons. This guide will show you step-by-step how to assign values to variables.
---
This video is based on the question https://stackoverflow.com/q/68380130/ asked by the user 'Renan Henrique' ( https://stackoverflow.com/u/10952186/ ) and on the answer https://stackoverflow.com/a/68380506/ provided by the user 'maevgor' ( https://stackoverflow.com/u/13795961/ ) 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: Python read file with text separed with ;

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 Read a File in Python with Semi-Colon Separated Values

If you're working with data files in Python, you may come across files formatted with specific delimiters, such as semicolons. For example, let's say you have a file named env.txt containing various pieces of information separated by semicolons. You might want to extract these values for further processing or analysis. This guide will walk you through a practical solution to read such a file and assign its contents to variables in Python.

The Problem: Reading a Semi-Colon Separated File

Imagine you have the following content in your env.txt file:

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

You need to extract the values from each line and assign them to variables. For the first line, the variables should be:

firstID = 15

name = TEXT

secondID = 20

The challenge lies in reading the file and correctly splitting the content based on the semicolon delimiter. You might have already experimented with reading the file line by line, but if you need to parse the individual items, a more systematic approach is required.

The Solution: Step-by-Step Code Explanation

To achieve this, we can utilize Python's built-in file handling capabilities to read the contents of your file and then split each line into components. Here's the solution broken down into clear steps:

Step 1: Open and Read the File

We'll open the env.txt file using a with statement, which ensures that the file is properly closed after its suite finishes executing. The content can then be read in one go.

Step 2: Split the Contents

After reading the file, we will split the content into rows based on new line characters and then separate each row into its components by using the semicolon (;) as our delimiter.

Step 3: Assign Values to Variables

Finally, we can use a loop to assign the split values to our predefined variables and print them out as needed.

Sample Code

Here is the complete code to accomplish the task:

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

Explanation of the Code

with open('env.txt') as f:: Opens the file in read mode.

text = f.read(): Reads the entire file content as a single string.

data = [row.split(';') for row in text.split('\n')[:-1]]: Splits the text into rows and then each row into its components, omitting the last empty entry (if any).

for firstID, name, secondID in data:: Iterates through each parsed row, unpacking the values into the respective variables.

print(...): Outputs the values of firstID, name, and secondID to the console.

Conclusion

Reading a file with semi-colon separated values in Python is straightforward when you understand the steps involved. By following the method described above, you can easily extract data from structured text files and leverage that data for your applications. Whether you're handling configuration files, user data, or any other semi-colon delimited content, this approach will serve you well.

If you have any questions or need further assistance, feel free to leave a comment below!