Python console enables executing Python commands and scripts line by line, similar to your experience with Python Shell.
Working with Python console
The console appears as a tool window every time you choose the corresponding command on the Keymap, specify a shortcut for .menu. You can assign a shortcut to open Python console: press Ctrl+Alt+S, navigate to
The main reason for using the Python console within PyCharm is to benefit from the main IDE features, such as code completion, code analysis, and quick fixes.
You can use up and down arrow keys to browse through the history of executed commands, and repeat the desired ones. To preview the variable values calculated in the course of the execution, click and check the Special Variables list.
The console is available for all types of Python interpreters and virtual environments, both local and remote.
Preview a variable as an array
When your variables are numpy arrays or dataframes, you can preview them as an array in a separate window. To try it, do one of the following:
Click the link View as Array/View as DataFrame:
From the context menu of a variable, choose View as Array/View as DataFrame:
The variable will be opened in the Data tab of the SciView window.
Run source code from the editor in console
Open file in the editor, and select a fragment of code to be executed.
From the context menu of the selection, choose Execute Selection in Python Console, or pressAlt+Shift+E:
Watch the code selection execution:
By default, the Python console executes Python commands using the Python interpreter defined for the project. However, you can assign an alternative Python interpreter.
Run asyncio coroutines
In the editor, select a fragment of code which contains the definition of an asyncio coroutine.
From the context menu, select Execute Selection in Python Console, or pressAlt+Shift+E:
After the code is executed on the Python console, run the coroutine by using the
Configure Python console settings
In the Settings dialog (Ctrl+Alt+S), select .
Select any available interpreter from the Python interpreter list. Note that you cannot introduce a new interpreter here. If you want to come up with the new interpreter, you need to create it first.
In needed, click the Configure Interpreters link to inspect the list of the installed packages and add new ones.
Mind the code in the Starting script area. It contains the script that will be executed after you open the Python console. Use it to pre-code some required Python commands.
When working on several Python scripts, you might want to execute each in a separate Python console.
Run several Python consoles
Click to add a new Python console.
By default, each console has the name Python Console with an index. To make a console reflect the script you're running, right-click the console tab, select Rename Console, and enter any meaningful name.
All the commands you're running in the Python console are executed one by one. If the commands require substantial time to get executed, you might want to preview and manage the execution queue.
Manage the command execution queue
Go to Command queue for Python Console checkbox.and enable the
Click on the console toolbar to open the queue.
In the Python Console Command Queue dialog, review the list of commands. If needed, click to delete the command from the queue.
Note, once the command is executed, it disappears from the queue. To preview all previously executed commands browse the console history ().
Tooltip and shortcut
Click this button to terminate the current process and launch the new one.
Click this button to stop the current process.
Clicking the button once invokes soft kill allowing the application to catch the
Execute Current Statement
Click this button to execute the command at caret, entered in the input pane of the console.
Attaches the debugger process to the console.
You can specify the following settings of the Python console:
Click this button to start a new console session.
Use Soft Wraps
Click this button to toggle the soft wrap mode of the output.
Scroll to the end
Click this button to navigate to the bottom of the stack trace and have the cursor jump to the corresponding location in the source code.
Click this button to send the console text to the default printer.
Click this button to show in a separate pane the variables declared in the console. Right-click a variable in this pane reveals a context menu.
Show Command Queue
Click this button to preview the command execution queue.
Open a dialog that shows all the statements that you have run for the corresponding data source.
See also, Using the History dialog.
Context menu commands
Compare with Clipboard
Show selection in the console and contents of the Clipboard in the Differences viewer.
Pause the Python script execution output
Choose this command to create a Git Gist.
Choose this item from the context menu to delete all messages from the upper part of the console.