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not sure if this is a version issue, but with jupyter installed using anaconda3 4.2.0 (Python 3.5), I had to replace install with enable to get the memory reading to display properly.
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Thanks! This is the correct thing to do :D |
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One other thing I noticed was that after successfully doing this and getting the memory profile to show up, I got some 404 errors from conda (screenshot below). It was a fairly simple fix, as suggested here, I ran Do you think this might be connected? If so, perhaps these commands might help someone else if they run into the same issue :)
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davidbrochart
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davidbrochart
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* initial commit * add Makefile * refactor react state * add a timer with react hook to ensure the panel is refreshed - fixes Quansight/jupyterlab-kernel-usage#6 * panel content for #4 and #7 * new icon fixes #3 * ensure minimal ipykernel version - fixes #8 * format cpu to 1 decimal - fixes #2 * better format the memory numbers - fixes #1 * bump version to 0.2.0 * better format for the memory * bump versoin to 0.3.0 * update preview image * lint * tune the panel layout * show a message is kernel usage is not available * Add PID * readme: add ipykernel requirement - closes #8 * release: 0.4.0 * remove old kernel poll * don't throw timeout exception * remove logging * Pool only the active kernel and if the sidebar is visible * lint * polish the ui and add cpu_count * release: 0.5.0 * Fix issues related to fronted querying too often. There were three issues: - the `notebookTracker.currentChanged` signal was being connected on each re-render of React widget and re-renders were triggered by update to state that was defined in the callback leading to O(n^2) accumulation of callbacks. - the `kernelChanged` signal was being connected on each change of the notebook leading to O(n) accumulation of callbacks. - the sidebar panel could have been created multiple times if invoked from command palette - O(1) accumulation of callbacks. * Limit the backend timeout to 1+2+3=6 seconds total * Clear kernel ID if disposed * Merge jupyterlab-kernel-usage * Add ipykernel dependency * Update README * Pin ipykernel>=6.11.0 * Remove jupyterlab-kernel-usage * Include changes from Quansight/jupyterlab-kernel-usage#24 * Lint * Remove @jupyterlab/launcher dependency Co-authored-by: Michał Krassowski <[email protected]> * Review * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: Eric Charles <[email protected]> Co-authored-by: krassowski <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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not sure if this is a version issue, but with jupyter installed using anaconda3 4.2.0 (Python 3.5), I had to replace install with enable to get the memory reading to display properly.