When working with quantities in the system, it is essential to understand how they are formatted and displayed across different platforms. The formatting of numerical values, including decimal and thousand separators, plays a significant role in ensuring clarity and consistency.
Desktop Client
In the Desktop client of ERP.net, the format of quantity fields obeys the regional settings configured on the user's computer. This means that the way numbers are displayed—such as the decimal and thousand separators—depends on the local settings of the operating system (section "Region - Date, time and number formats").
Additionally, users have the flexibility to customize the format of quantity fields within the Desktop client. A dedicated settings interface allows modification of elements like:
- Decimal symbol
- Digit grouping symbol (thousands separator)
- Number of digits after the decimal
- Negative number format
- Leading zeros display
For a complete guide on the flexibility of customization of fields, check article Working with fields.
How to customize number formats using format specifiers, users can refer to the following documentation: Format Specifiers Guide.
Web Client
Unlike the Desktop client, the Web client does not inherit regional settings from the operating system. Instead, the format of quantity fields is predefined within the domain model.
Standard quantity field formatting
To maintain consistency across different system interfaces, ERP.net has adopted a standardized format for quantity fields:
- Decimal separator: dot (.)
- Thousands separator: comma (,)
This formatting standard ensures uniformity in data visualization, reducing confusion when handling numerical values across different user interfaces.
Example
For instance, a number like 123456.789 is displayed as 123,456.789. Similarly, a large number such as 10234789213.456 is displayed as 10,234,789,213.456. This consistent formatting improves readability and clarity in numerical representation.
By understanding how the system visualizes and formats quantities, users can effectively interpret numerical data while ensuring compliance with the established conventions.
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