Cell focus bugsĭataSpell 2023.1 contained several cell focus bugs which we have corrected in DataSpell 2023.1.3. In DataSpell 2023.1.3 the table no longer has to be manually adjusted to view the final row. When a DataFrame is displayed in table form in DataSpell 2023.1, a horizontal scroll bar overlaps the last displayed row. This behavior is corrected in DataSpell 2023.1.3. In DataSpell 2023.1, when pasting text into a new notebook cell added using Select Cell | Add Code Cell Below, the new cell disappears. The selected conda environment will be reused for the current project.DataSpell 2023.1.3 brings you fixes for disappearing notebook cells, invisible DataFrame rows and cell focus bugs.ĭownload the new version from our website, directly from the IDE, via the free Toolbox App, or use snaps for Ubuntu.ĭownload DataSpell 2023.1.3 Disappearing notebook cells Otherwise, specify the location of the conda executable, or click to browse for it.Ĭhoose the desired environment from the list. Normally, DataSpell will detect conda installation. The following actions depend on whether you want to create a new conda environment or to use an existing one.
In the left-hand pane of the Add Python Interpreter dialog, select Conda Environment. In the context menu of an attached directory, select Interpreter.
Click the Add Interpreter link next to the list of the available interpreters. Click the Add Interpreter link next to the list of the available interpreters.Ĭlick the Python Interpreter selector and choose Interpreter Settings. Press Control+Alt+S to open Settings and go to Project: workspace | Python Interpreter.
Refer to the installation instructions for more details. Create a conda environmentĮnsure that Anaconda or Miniconda is downloaded and installed on your computer, and you're aware of a path to its executable file. Use the platform switcher at the top of this page to view shortcuts specific to your operating system. The following procedure applies to all supported operating systems. DataSpell supports creating virtual environments for Python with Conda.
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