tabler 2.1.3

Simple interface for tabulated data and .csv files

Simple interaction with tabulated data

Contents

• Simple interaction with tabulated data

  • What is tabler?

  • Quick Start

    • Creating a Table (Basic)

    • Reading a Table (Basic)

    • Editing a Table (Basic)

    • Loading Data into a Table (Basic)

    • Writing a Table to a File (Basic)

    • Contact

    • License

    • Credits

What is tabler?

The tabler package provides the Table class which makes the creation and maniplulation of tabulated data intuitive.

It can:

• Open various spreadsheet files from a relative path, absolute path or url.

• Update text in cells.

• Write files in various formats.

Compatible formats:

• .csv

• Open Spreadsheet Format .ods

• Microsoft Excel .xlsx

• HTML (Write only)

• Other filetypes can be added by subclassing the BaseTableType class.

Quick Start

Creating a Table (Basic)

Import the Tabler class from the tabler package and instanciate it with a header and data:

from tabler import Table

table = Tabler(
    header=['SKU', 'Item Title', 'Price'],
    data=[[009, 'Item 1', 5.00], [010, 'Item 2', 9.99]])

Or pass the path to a file to open:

from tabler import Table

Table('path/to/some/file.csv')

This will recognise filetypes with the following extensions:

• .csv (UTF-8 encoded and comma delimited).

• .txt (UTF-8 encoded and comma delimited).

• .xlsx

• .ods

To explicitly open a file of a specifict type a Table Type object must be provided.:

from tabler import Table
from tabler.tabletypes import CSV

Table('path/to/some/file.csv', table_type=CSV(delimiter='\t'))

These are subclasses of BaseTableType and allow the method of reading the file to be customised.

Reading a Table (Basic)

At its base, Tabler is a two dimensional list. Therefore the simplest way to access a cell is by providing two indexes:

first_cell = table[0][0]

Rows can be indexed by row number (zero based) Tabler will always treat the first line of any supplied data as column headers. This means that a column can be specified by index number or title:

first_item_title = table[0]["Item Title"]

Editing a Table (Basic)

A cell can be edited using the equals = operator:

table[2]["Item Title"] = 'USB Hub'

Cell content can be string, int or float.

Loading Data into a Table (Basic)

Data can be loaded into an empty Tabler object by passing a list of rows in the form of lists of cell data using the Tabler().load_from_array(data, header) method. A list of column headers must be passed as the second argument:

header = ["SKU", "Item Title", "Price"]

data = [
    ["001", "USB Hub", 7.00],
    ["002", "Raspberry Pi 3", 29.99],
    ["003", Arduino Uno", 20.00]
]

table = Tabler()
table.load_from_array(data, header)

Writing a Table to a File (Basic)

Writing a file is similar to reading a file. Table Types are used in the same way to manage writing files:

table.write('path/to/save.csv', table_type=CSV(delimiter='\t')

The table type will be set automatically for reconised file extensions if not explicitly set.

Contact

All comments and queries can be sent to Luke Shiner at [e-mail]

License

Distributed with MIT License.

Credits

Created by Luke Shiner ([e-mail])