textfiles

TextFiles v0.0.7

A convenient Python API for working with the text files CSV, JSON, TXT

The library allows handling csv, txt and json files easily from within Python.

Installation

pip install textfiles

How to use:

Import TextFile: Once you install the library you can import the TextFile class into your Python code. To do this, simply add the following line to your code:

from textfiles.file_factory import TextFile

Use TextFile: You can now use the TextFile class to create instances of CsvFile, TxtFile, and JsonFile classes. The factory has two methods:

make_file_instance: This method creates an instance of the file class for an existing text file.

make_file: This method creates a new file and a corresponding Python instance of it.

To create an instance of a CsvFile, TxtFile, or JsonFile class, simply call the appropriate static method and pass in the necessary parameters. The factory will then return an instance of the appropriate class.

Examples: Here are some examples of how to use TextFile:

To create an instance of an existing file:

file = TextFile.make_file_instance('csv', 'path/to/file.csv', has_header=True, delimiter=',')
file = TextFile.make_file_instance('txt', 'path/to/file.txt')
file = TextFile.make_file_instance('json', 'path/to/file.json')

To create a new file:

file = TextFile.make_file('csv', 'path/to/file.csv', ['Header1', 'Header2'])
file = TextFile.make_file('txt', 'path/to/file.txt')
file = TextFile.make_file('json', 'path/to/file.json')

Note - When creating a CSV file, it is mandatory to pass a header.

Main functions:

    self.get_content()
    self.search()
    self.count()

examples:

CsvFile.update_cell()

    my_csv = CsvFile('/path/to/my/csv/file.csv')
    my_csv.update_cell(column=3, row=2, value='New content')

JsonFile.search()

    with open ("example.json", "w") as f:
        json.dump(f, {"State": "New York", "cities": ["New York", "Albeny", "New Paltz"]})


    my_json = JsonFile('/path/to/my/json/file.json')
    new = my_json.search("new")
    print(new)

output:

[{'State': 'New York'}, {'cities': [{'index[0]': 'New York'}, {'index[2]': 'New Paltz'}]}]