Using the N-Up style

The N-Up style presents two or more rows of data next to each other. It is similar to the Label style in that you can have information from several rows in the database across the page. However, the information is not meant to be printed on labels. The N-Up presentation style is useful if you have periodic data; you can set it up so that each period repeats in a row.

After you select a data source, you are asked how many rows to display across the page.

For each column in the data source, PowerBuilder defines n columns in the DataWindow object (column_1 to column_n), where n is the number of rows you specified.

Table example

For a table of daily stock prices, you can define the DataWindow object as five across, so each row in the DataWindow object displays five days’ prices (Monday through Friday). Suppose you have a table with two columns, day and price, that record the closing stock price each day for three weeks.

In the following n-up DataWindow object, 5 was selected as the number of rows to display across the page, so each line in the DataWindow object shows five days’ stock prices. A computed field was added to get the average closing price in the week:

The sample n up Data Window object Header shows five headings labeled Monday through Friday.

NoteAbout computed fields in n-up DataWindow objects You use subscripts, such as price[0], to refer to particular rows in the detail band in n-up DataWindow objects.

For more information, see Chapter 19, “Enhancing DataWindow Objects.”

Here is the DataWindow object in the Preview view:

The sample n up Data Window object shown in Preview view has five headings labeled Monday through Friday. Under each day are a date and price, followed by an Average calculated price for the week.

NoteAnother way to get multiple-column DataWindow objects In an n-up DataWindow object, the data is displayed across and then down. If you want your data to go down the page and then across in multiple columns, as in a phone list, you should create a standard tabular DataWindow object, then specify newspaper columns.

For more information on newspaper columns, see Chapter 19, “Enhancing DataWindow Objects.”