Debug Tool Window. Watches
In the Watches pane you can evaluate any number of variables or expressions in the context of the current stack frame. The values are updated with each step through the application, and become visible every time the application is suspended.
The Watches pane shows multiple expressions that persist from one debug session to another, until you remove them.
Watch expressions are always evaluated in the context of a stack frame that is currently inspected in the Frames pane. If an expression cannot be evaluated, it is displayed with a question mark.
In this topic:
|Alt+Insert||Click this button to create a new watch.|
|Alt+Delete||Click this button to remove the selected watch from the list.|
Context menu options
|New Watch||Insert||Choose this command to create a new watch. A text field opens, where you can enter new watch expression.|
|Remove Watch||Delete||Choose this command to delete the currently selected watch expression from the list.|
|Edit||F2||Choose this command to change the selected watch expression.|
|Remove All Watches||Choose this command to delete all watch expressions from the list.|
|Inspect||Available for fields, local variables and reference expressions. Choose this command to open the Inspect window for the node, which allows you to perform the same operations as those available in the stack frame, with the only difference that the root node is the one you have selected. You can recursively call the new Inspect windows from within each other. Each window is not modal and immediately reflects all changes in its subtree.|
|Show Referring Object||Choose this command to display the list of objects referring to the current watch.|
|Jump to Source||F4||This command opens the source code of the selected variable or field in the editor and places the caret on a proper line.|
|View as array||This command appears for the variables that represent the NumPy arrays.
It's important to note that NumPy must be downloaded and installed in your Python interpreter.
With this package installed, you can get a graphical view of a NumPy array and its parts using slicing, formatting and coloring tools:
|Copy Value||Ctrl+C||Copies the selected node value to the clipboard.|
|Copy Name||Copies the selected node name to the clipboard.|