Overview
The mui-virtualized-table is a combination of Material UI visual components with react-virtualized, which provides improved performance and additional features for tables in React applications. It offers a simple API for rendering tables with a large amount of data efficiently.
Features
- Windowing for Performance: The table uses windowing, powered by react-virtualized, to render only the visible rows and columns, which improves performance when dealing with a large amount of data.
- Freeze Rows and/or Columns: You can freeze rows and/or columns in the table, which allows them to remain visible even when scrolling horizontally or vertically.
- Fixed or Variable Column Widths: The table supports both fixed and variable column widths. You can specify the width of each column individually or use a percentage-based width.
Installation
To install the mui-virtualized-table, you can follow these steps:
- First, make sure you have the Material UI and react-virtualized packages installed in your project:
npm install @material-ui/core react-virtualized
- Then, you can install the mui-virtualized-table package:
npm install mui-virtualized-table
- Import the necessary components and styles in your React component:
import { MuiTable, MuiTableColumn } from 'mui-virtualized-table';
import 'mui-virtualized-table/dist/index.css';
- Use the
<MuiTable>component to render the table:
<MuiTable
data={...}
columns={[
<MuiTableColumn name="column1" header="Column 1" />,
<MuiTableColumn name="column2" header="Column 2" />,
...
]}
/>
- Customize the table by adding additional props to the
<MuiTableColumn>components. For example, to specify a fixed width for a column:
<MuiTableColumn name="column1" header="Column 1" width={100} />
Summary
The mui-virtualized-table is a powerful solution for rendering tables with a large amount of data efficiently in React applications. It combines Material UI visual components with react-virtualized, providing improved performance and additional features such as freezing rows and columns and customizable column widths. The installation process is straightforward, and the table is easy to use with a simple API.