tabledata

Warnings

• breaking Support for Python 3.7 and 3.8 was dropped in version 1.3.4. Users on these Python versions must upgrade to Python 3.9+ to use the latest `tabledata` versions.
  Fix: Upgrade Python environment to 3.9 or higher. For Ubuntu, consider `sudo add-apt-repository ppa:thombashi/ppa && sudo apt update && sudo apt install python3-tabledata` or standard Python upgrade methods.
• breaking The minimum required version of the `DataProperty` library was bumped to 1.0.1 in `tabledata` v1.3.2. Older `DataProperty` versions may lead to incompatibility issues.
  Fix: Ensure `DataProperty` is updated to version 1.0.1 or newer. `pip install --upgrade DataProperty` or reinstalling `tabledata` should resolve this.
• breaking Support for Python 3.6 was dropped in version 1.3.2.
  Fix: Upgrade Python environment to 3.9 or higher.
• breaking Python 2 support was entirely dropped in version 1.0.0. All versions from 1.0.0 onwards are Python 3 only.
  Fix: Migrate codebase to Python 3.

Install

• pip install tabledata Install with pip

Imports

• TableData

  from tabledata import TableData

• ColumnData

  from tabledata import ColumnData

• DataRow

  from tabledata import DataRow

Quickstart

Creates a TableData object to represent tabular data with a name, headers, and rows, then demonstrates basic access to its components.

from tabledata import TableData

table_name = "users"
headers = ["ID", "Name", "Email"]
rows = [
    [1, "Alice", "alice@example.com"],
    [2, "Bob", "bob@example.com"],
    [3, "Charlie", "charlie@example.com"]
]

table = TableData(table_name, headers, rows)

print(f"Table Name: {table.table_name}")
print(f"Headers: {table.headers}")
for row in table.rows:
    print(f"Row: {row.data}")

# Accessing data (example)
print(f"First user's name: {table.rows[0].get_value_by_name('Name')}")