The D ata V iewer now has support for slicing data. You can now find the filter box at the heading of each column. You can also continue to click on any column heading to sort its data ascending/descending. Lastly, you can now click into individual cells in the Data Viewer to copy out their contents.
#Install jupyter notebook multible users update#
Secondly, the Data Viewer now supports viewing both PyTorch and TensorFlow Tensor data types!įinally, we’ve given the entire Data Viewer UI a visual update to make it more aesthetically pleasing.
If you’ve made some changes or transformations to your data, rather than having to close and reopen the Data Viewer to view the changes, you can now click the refresh button in the top left to grab the most up-to-date data. Firstly, we have added the ability to refresh the Data Viewer. We’ve added many improvements to our Data Viewer in the latest release. If you’re interested, you can check the full list of improvements in our changelog. This release of the Jupyter Extension includes an overhaul and new functionality of the Data Viewer, as well as some UI enhancements and multiselect support for Native Notebooks.
You can learn more about Python support in Visual Studio Code in the documentation. If you already have the Python or Jupyter extensions installed, you can also get the latest update by restarting Visual Studio Code. We are pleased to announce that the April 2021 release of the Jupyter Extension for Visual Studio Code is now available. If working with Python, we recommend installing the Python extension directly from the extension gallery in Visual Studio Code.
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