This is a utility to browse the data gathered from the astro-pi ISS mission John Belshaw from an idea by Hannah Belshaw
The orbital elements in the file issObital.txt are kindly provided by Dr T.S Kelso http://celestrak.com
Requires matplotlib, numpy, mpl_toolkit, ephem to be installed which makes it easy to do numerical calculations on the data and plot it. Tested on windows, linux x86 and raspberry pi B2.
Lists the headers in the file and some statistics for each of the measurements - min, max, median, average, stddev
A graph is drawn for the first measurement, for 1104 points which is 2 orbits.
3 figure windows are opened (you may have to spread them out) - fig 1 is a line graph of the current measurement fig 2 is a plot of the iss ground track, night/day shaded for short intervals fig 3 is filled with buttons to browse the data - scroll through the current measurement data using the buttons <-- --> select new measurements using meas +, and meas - zoom in and out using zoom + and zoom - (by a factor of 2x) orbit button re-draws the iss track (which is not automatic)
Each time a change is made the statistics for the current measurement and time period are printed.
Measurements - in array Headers 0 ROW_ID 1 temp_cpu 2 temp_h 3 temp_p 4 humidity 5 pressure 6 pitch 7 roll 8 yaw 9 mag_x 10 mag_y 11 mag_z 12 accel_x 13 accel_y 14 accel_z 15 gyro_x 16 gyro_y 17 gyro_z 18 reset 19 Time Stamp
If you want to re-use the data for your code it is in the data object -Arrays as a 2d arrary Arrays. This has 20 elements, each of which is a sub-array with all the data points. So Arrays[6] is an array of all the pitch measurements (quite long!) and Arrays[6][0] is the first data point, Arrays[6][-1] is the last data point Arrays[0] is the ROW_ID/6 which is the elapsed time in minutes Arrays[19] is the time stamp for that row.