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Tickets/sitcom 1689 - Facilities Temperatures report #14
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
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Maybe add a couple of sentences description here of what are the 3/4 temperature sensors about.
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I removed this part. The telemetry from MTMount showed to be unliable. I noticed that the temperature reported by MTMount could change by a degree after a state transition. On top of it, it was way too stable for our analysis.
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Line #68. heights = {
Are these heights being used? And then the actual heights in the plots seem a bit arbitrary to me. I don't know why Standby should be on top for instance. Makes more sense for the heights to be the ones you have here but they are not used.
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They were at some point. I removed them.
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Line #89. ax2.scatter(df_mtmount.index, df_mtmount["summaryState"], marker='|')
The marker could be an 'x' for better visibility.
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I tried marker 'x'. However, they overlap a lot. Hence, the choice of '|'. However, I believe this part of the plot will go away.
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Optional really: add more formatting to the output table, so that the time column is Time (UTC) and the temperatures are C, with two significant figures. Same for the other cells below.
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- Now the plot shows mtmount state transitions - day_obs is a string and it will be converted into int to ensure that the notebook will work properly
It seems that the M1M3TS glycol temperatures provide a better estimate of the temperature inside the cell. This might change again.
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