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A Python package to load and manage Google Sheets, Excel files, or any spreadsheet data from URLs and file paths.

Project description

Sheets Manager

Sheets Manager is a lightweight Python package designed for loading and managing data from Google Sheets, Excel files, or any spreadsheet data from URLs and file paths. This package provides a simple interface for accessing and storing tabular data in JSON format.


Features

  • Load All Tabs: Fetch data from all tabs within a spreadsheet automatically.
  • Flexible Data Sources: Support for Google Sheets, Excel files, CSV files, and any URL or file path.
  • Easy to Use: Minimal setup to integrate into your projects.
  • Lightweight: No unnecessary dependencies—uses only pandas and json.

Installation

You can install Sheets Manager via pip:

pip install sheetsmanager

Usage

Initializing the Manager

The SheetsManager.init() method accepts various types of input:

Option 1: Google Sheet ID

from sheetsmanager import SheetsManager

# Initialize with a Google Sheet ID
sheet_id = "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms"
SheetsManager.init(sheet_id)

Option 2: Google Sheets URL

# Initialize with a full Google Sheets URL
sheets_url = "https://docs.google.com/spreadsheets/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/edit"
SheetsManager.init(sheets_url)

Option 3: Any Other URL or File Path

# Initialize with any URL pointing to an Excel/CSV file
excel_url = "https://example.com/data.xlsx"
SheetsManager.init(excel_url)

# Initialize with a local file path
local_file = "/path/to/local/file.xlsx"
SheetsManager.init(local_file)

# Initialize with a relative file path
relative_file = "./data/spreadsheet.xlsx"
SheetsManager.init(relative_file)

The SheetsManager will automatically detect the input type and load all data from all tabs in the spreadsheet upon initialization. Note: The sheet_data and sheet_url variables are static, meaning they are shared across all instances of the SheetsManager class.

Accessing the Loaded Data

# Access the loaded data as a dictionary
print(SheetsManager.sheet_data)  # Dictionary where keys are tab names and values are the tab data

Since sheet_data is a static variable, it will store the data globally, allowing all references to SheetsManager to access the same data.

Reloading the Data

If you want to reload the data from the source and update all stored data, you can call the reload() method:

# Reload data from the spreadsheet
SheetsManager.reload()

This will refresh the sheet_data dictionary with the latest data from all tabs. The sheet_data variable is static, so any update will affect all instances that reference it.


Parameters

force_string (optional)

  • Type: bool
  • Default: False
  • Description: Forces all values to be returned as strings when loading data. If force_string=True, numerical values will be stored as strings.

Example Usage:

# Example usage with force_string
SheetsManager.init(sheet_identifier, force_string=True)

This ensures that all values remain in string format, which can be useful for preserving formatting from Google Sheets.


Getting the Sheet ID and Generating the URL

To use a Google Sheet with this package, you need the Sheet ID. Follow these steps:

Step 1: Open the Google Sheet

  1. Go to Google Sheets and open your spreadsheet.

Step 2: Retrieve the Sheet ID from the Publish to Web Dialog

  1. Click on File in the top menu.
  2. Select Share > Publish to the web.
  3. In the dialog that opens, you will see the Sheet ID in the generated URL. It looks like this:
    https://docs.google.com/spreadsheets/d/{SHEET_ID}/pub?output=xlsx
    
  4. Copy the part between /d/ and /pub—this is your Sheet ID.

Step 3: Publish the Google Sheet

  1. In the same dialog, choose:
    • Entire Document: To make all tabs available.
    • Microsoft Excel (.xlsx) as the file format.
  2. Click Publish and confirm your choice.

Important Warning

  • Public Access: Publishing makes the spreadsheet accessible to anyone with the link.
  • Read-Only: Others can download the file but cannot directly edit it.

Requirements

  • Python 3.7+
  • pandas

Contributing

Contributions are welcome! If you encounter bugs, have feature requests, or want to contribute code, feel free to submit issues and pull requests on GitHub.


License

Sheets Manager is licensed under the MIT License. See the LICENSE file for more details.

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