Highlights
Tasks
1. Open the provided .csv file in a text editor and take note of the column headings containing the latitude, longitude, and elevation values for each GPS data point.
2.Write a Python script which opens the .csv file and loads the three columns into numpyarrays. Note that adding .values to the variable returned by pd.read csv() returns a numpyarray.Graded by inspection of the code. All three columns must be correctly read into arraysfor this mark to be awarded.
3.In the “random walk” lab task (Week 5 lab, Task 2) two numpy arrays were interpreted aslists of x and y coordinates and plotted as such. Do the same thing for the GPS data points, payingclose attention to whether plot(lat,lon) or plot(lon,lat) produces a plot in the standardmap orientation of “North up”. The GPS data starts and finishes on the East side.NB: Plotting a “map” in this way interprets latitude and longitude angles as x-y coordinates. It isknown as an equirectangular projection and is a gross approximation of what a more accurate mapprojection would look like. It is, however, useful visual tool due to its simplicity.
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