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Using the workaround listed in #24 I tried to install the pandas manually.
In order to get around the long install time, I set the install to run in the background, and to capture all console output to a log file using the following:
I left it running overnight, and in the morning, I could not even login to the pi, it had crashed.
Checking the log file I created for the install, showed the following:
At first, I did not want to manually install packages for risk of later conflicts with other packages when installing things outside of the octoprint UI, but now I decided to do it, as there seems no other option, yet even this is now not working.
Any suggestions?
The text was updated successfully, but these errors were encountered:
Looking at other issues listed like #26 I am concerned that if the install can't even run, how will the application, if its high CPU usage. Perhaps you can break your product out into two versions, so people can run the old v1 version prior to the move for the resource hungry pandas?
Using the workaround listed in #24 I tried to install the pandas manually.
In order to get around the long install time, I set the install to run in the background, and to capture all console output to a log file using the following:
~/oprint/bin/pip --no-cache-dir install pandas > ~/pandas-log 2>&1 &
I left it running overnight, and in the morning, I could not even login to the pi, it had crashed.
Checking the log file I created for the install, showed the following:
At first, I did not want to manually install packages for risk of later conflicts with other packages when installing things outside of the octoprint UI, but now I decided to do it, as there seems no other option, yet even this is now not working.
Any suggestions?
The text was updated successfully, but these errors were encountered: