https://github.com/juancarlosjr97/text-file-splitter

Python module to split files fast and easy.
https://github.com/juancarlosjr97/text-file-splitter

csv file python split

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Python module to split files fast and easy.

• Host: GitHub
• URL: https://github.com/juancarlosjr97/text-file-splitter
• Owner: juancarlosjr97
• Created: 2020-07-23T13:47:18.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-11-14T23:51:19.000Z (about 3 years ago)
• Last Synced: 2025-01-14T04:49:48.210Z (16 days ago)
• Topics: csv, file, python, split
• Homepage:
• Size: 1.85 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Text File Splitter

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Python module to split text file easy and fast, without compromising memory using big files.

## Installation

You can install text-file-splitter by running the following command:

    pip install text-file-splitter

Or you can download direct from [Github](https://github.com/juancarlosjr97/text-file-splitter) and install it manually.

## Usage

Import the module and initialise it.

```python

    from text_files_splitter import TextFilesSplitter, ListMetrics

    source_file = './src/test/files'

    file_name = 'test_csv.csv'

    max_size_file = 10

    file_type = 'csv' # Optional - default 'csv'

    metric_units = ListMetrics.MB # Optional - default ListMetrics.B

    output_directory = './output' # Optional - default the current directory

    include_header = True # Optional - default True

    file_suffix = 'file_example' # Optional - default file_name

    file_splitter = TextFilesSplitter(source_file, file_name, max_size_file, file_type,

                                                ListMetrics.MB, output_directory, include_header, file_suffix)

    files_splitted = file_splitter.get_file_splitted()

```

The outcome of `get_file_splitted()` is a list of dict with the following details

```

files_splitted = [

    {

        "file_name": file_name,

        "path": output_directory,

        "file_size": file_size_in_bytes,

        "count": count

    }...

]

```

## Files compatibility

- csv

## Test

To run a test of the clone the repository and follow the instructions

    pip install test-requirements.txt

    python -m src.test.test

### Expected Outcome

the time may vary depending on your machine performance

```

Ran 1 test in 0.180s

OK

```

### List of test created

- csv

## Requirements

- Python 3.4 or newer

## Code Standards

Following pylint standards

## License

The MIT License (MIT). Please see [License File](https://github.com/juancarlosjr97/text-file-splitter/blob/master/LICENSE.md) for more information.

## Contributions