![tabular display tabular display](https://static.commerceplatform.services/images/957.310.jpg)
Nothing about this data structure enforces equal row or column lengths - one row can be 5 elements long, another 200. We'll take a minute to look at this data structure, and it's limitations, below. As shown in the example above you can model a simple 2D data structure using a nested Python list.
Tabular display how to#
That's all we need to do - the view widget now uses the model to get the data, and determine how to draw it.īasic QTableView example Nested list as a 2-dimensional data storeįor a table you need a 2D data structure, with columns and rows. # the length (only works if all rows are an equal length)Īs in our earlier model view examples, we create the QTableView widget, then create an instance of our custom model (which we've written to accept the data source as a parameter) and then we set the model on the view.
![tabular display tabular display](https://sep.yimg.com/ay/yhst-98109100526289/piazza-display-table-in-stained-wood-1.gif)
# The following takes the first sub-list, and returns # See below for the nested-list data structure. We'll go into alternative data structures in detail a bit later.įrom PyQt5 import QtCore, QtGui, QtWidgetsĬlass TableModel(QtCore.QAbstractTableModel): A simple working example is shown below, which defines a custom model working with a simple nested-list as a data store. To use the model we'll need a basic application structure and some dummy data. By customising the model it is possible to have a huge amount of control over how the data is presented. Data in the model can be updated as required, and the view notified of these changes to redraw/display the changes. Like all widgets in the Model View Architecture, this uses a separate model to provide data and presentation information to the view. QTableView is a Qt view widget which presents data in a spreadsheet-like table view. This will provide you with a great foundation for building data-focused applications. Here we'll start with a simple nested list of list and then move onto integrating your Qt application with the popular numpy and pandas libraries. Working with tabular data in Python opens up a number of possibilities for how we load and work with that data. You can use model views with any data source, as long as your model returns that data in a format that Qt can understand. In this tutorial we'll look at how to use QTableView from PyQt5, including how to model your data, format values for display and add conditional formatting. There are two other Model Views available in Qt5 - QTableView and QTreeView which provide tabular (Excel-like) and tree (file directory browser-like) views using the same QStandardItemModel. However, we only touched on one of the model views - QListView. In the previous chapter we covered an introduction to the Model View architecture.