Released: Apr 24, 2018

18.1 での更新項目

機能

• Grids and Lists
  • Column Pinning - Pin a single column or multiple columns to the left-hand side of the grid.
  • Column Resizing - This new feature incorporates a delayed update, meaning that it shows the user a temporary resize indicator while the drag operation is in effect. The new column size is then only put in place once the drag operation ends.
  • Export to Excel/CSV/TSV - Export grid data into the format of their choosing: Excel, CSV, and TSV.
  • Summaries - Given the data type in the column, summaries in the container will change, and it’s worth noting that each summary is on a per-column level.  
  • Row Selection - The grid now supports the selection of one or multiple rows through a checkbox that precedes all the other columns in the row. This makes it easy for a user to select and to deselect specific rows.
• Editors
  • Mask Directive - The igxMask directive provides the means to control user input and to format the visible value based on configurable mask rules.
  • Input Groups - Create forms that handle validation and errors.
  • Theming - Added a new mechanism for changing the theming of various components.
  • Toggle - Allows users to interactivity open, animate and close a toggle container.
  • Tabs - Organize or to switch between similar data sets. The tabs are placed at the top and allow for scrolling when there are multiple tab items.
  • Time Picker - Select a time from a dialog with spinners.
• Financial Chart - Offers developers the ability to craft lightweight, high-performance, and easily configured charts to display financial data. It includes a simple and intuitive API for working with and binding data or data collections. The chart offers multiple ways in which a user can display or visualize financial data. It also intuitively and automatically analyzes and selects data columns for the user.
• Category Chart - Simplifies the complexities of data visualization. You can effortlessly bind a collection of data, or even a collection of collections, and the chart will analyze your data and automatically select the best series for the data’s representation.
• Virtualization - Aids the rendering of large-scale data sets in your applications without loss to performance. This will allow a user to smoothly scroll through big data sets and keep the application running at optimal capacity.