ADCP | AutoDock CrankPep for peptide and disordered protein | Genomics library

I have an array of numbers (e.g 279.341, 279.345, 279.348) which relate to the date and time in 2017 (its supposed to be October 6th 2017). To be able to compare this data to another dataset I need to convert that array into an array of UNIX timestamps.

I have successfully done something similar in matlab (code below) but don't know how to translate this to Python.

MatLab:

For this particular shiny example I am trying to apply a circular model and display and summarize it within the ggplot and a summary table. This is straightforward up until trying to add in reactive 'brushplot' capabilities. Each of the data points represent a date and the point of the selective graph is to be able to discard undesirable dates. As far as I've figured out, this requires the filtering and model fitting to be within a renderPlot which then leads to complications (unable to find the data/model) trying to call the filtered data and the circular model's statistical outputs outside the function and/or within another reactive function. This yields the Error: object 'k_circ.lm' not found So my questions are:

1. How can I read the filtered data from the renderPlot function to the summarytable matrix?
2. How could I similarly add the fitted model values and residuals from k_circ.lm?
3. Is there a better or simpler way to arrange app to avoid this?

Alternatative code lines are commented out for a working (if poorly formatted) summary table.