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1. #VISUAL STUDIO CODE PYTHON GRAPHICS IN TERMINAL INSTALL#
2. #VISUAL STUDIO CODE PYTHON GRAPHICS IN TERMINAL UPDATE#

Show preview of imported notebook in the Python Interactive window.

Data Viewer now properly handles large data frames and supports filtering with expressions on numeric columns (greater than, less than, equals to) ( #5469).Allow password for remote authentication with jupyter.We have also added small enhancements and fixed issues requested by users that should improve your experience working with Python in Visual Studio Code. Starting in this release, the command will send to the terminal a de-indentation of the selection, based on its first non-empty line. Indentation of run selection in the terminalĪ highly requested VS Code Python feature on our GitHub repository was to dedent code selections before sending it to the terminal when running the “Run Selection/Line in Python Terminal” command. You can refer to our documentation to learn more about testing support in the Python extension. Now when you run and debug tests, they’ll be executed in parallel. For example, for 4 CPUs you can create a pytest.ini file in the project folder and add the below content to it: You can try out running tests in parallel with pytest by installing the pytest-xdist package and add “-n” to a configuration file. We made enhancements to reliability of statistics displayed for tests run, in particular for running tests in parallel with pytest. With the plot viewer, you can pan, zoom in/out, navigate through plots in the current session, and export plots to PDF, SVG, or PNG formats. You can try it out by double-clicking on the plots or clicking on the “expand image” button that is displayed when you hover over plot images in the Python Interactive Window:

#VISUAL STUDIO CODE PYTHON GRAPHICS IN TERMINAL UPDATE#

The June 2019 update included a brand-new Plot Viewer that can be used to manipulate any image plots, such as the popular matplotlib plots. One of the top requested features for the Python Interactive window is to enable deeper inspection of the generated plots, e.g. Plots are commonly used for data visualization. In this release we made improvements that are listed in our changelog, closing a total of 70 issues including a plot viewer with the Python Interactive window, parallel tests with pytest, and indentation of run selection in the terminal. You can learn more about Python support in Visual Studio Code in the documentation. If you already have the Python extension installed, you can also get the latest update by restarting Visual Studio Code.

#VISUAL STUDIO CODE PYTHON GRAPHICS IN TERMINAL INSTALL#

You can download the Python extension from the Marketplace, or install it directly from the extension gallery in Visual Studio Code. We are pleased to announce that the June 2019 release of the Python Extension for Visual Studio Code is now available.