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Added 2016 folder, reorganized 2015 contest folder
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‎Fall-2015/Final.py ‎2015/Final.py

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‎Fall-2015/micropyGPS.py ‎2015/micropyGPS.py

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‎Fall-2015/motor.py ‎2015/motor.py

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‎GPS_visualization/GPS_Visualization_Gmaps.py

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#! /usr/bin/env python
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##########################################################################################
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# GPS_Visualization_Gmaps.py
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#
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# Modified from script to post-process GPS data from Anaconda trials
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#
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# Plots data on Google Maps using pygmaps
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#
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# Data loaded from csv file with columns that are:
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# Time, Date, Fix, Fix Quality, Num Sats, Latitude DDMM.mmmm, Longitude DDMM.mmmm, Speed, Heading, Alt
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#
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# NOTE: Plotting is set up for output, not viewing on screen.
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# So, it will likely be ugly on screen. The saved PDFs should look
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# better.
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#
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# Created: 04/11/14
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# - Joshua Vaughan
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# - [email protected]
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# - http://www.ucs.louisiana.edu/~jev9637
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#
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# Modified:
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# * 09/12/15 - JEV - [email protected]
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# - conversion to Python 3
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# - begin conversion away from Anaconda data
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#
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##########################################################################################
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import numpy as np
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from matplotlib.pyplot import *
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from scipy import signal
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import tkinter as tk
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from tkinter.filedialog import askopenfilename, askdirectory
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import csv
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import datetime
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import pygmaps
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# Define what kind of output you want
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save_for_web = False
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produce_pymap = True
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is_pyNMEA = False
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try:
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root = tk.Tk()
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root.withdraw()
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file_path = askopenfilename()
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# # Process the time into a "trial time"
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# trialTime_array = np.zeros(len(trialTime))
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#
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# for index in range(len(trialTime)):
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# trialTime_parsed = datetime.datetime.strptime(trialTime[index],"%H:%M:%S.%f")
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# trialTime_seconds = (trialTime_parsed.minute*60. + trialTime_parsed.second) + trialTime_parsed.microsecond/(10.**6)
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# trialTime_array[index] = trialTime_seconds
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#
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# trialTime_array = trialTime_array - trialTime_array[0]
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# Grab the rest of the data as numpy arrays
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# Probably slower but more convenient
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data = np.genfromtxt(file_path, delimiter=',', skip_header = 1)
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# Parse the data (inelegantly for now)
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# time = data[:,0]
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if is_pyNMEA:
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# set up pyNMEA parsing
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pass
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else:
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date = data[:,0]
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latitude = data[:,1]
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longitude = data[:,2]
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speed = data[:,7]
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heading = data[:,8]
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# altitude = data[:,9]
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fix_quality = data[:,13]
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num_sats = data[:,14]
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if save_for_web:
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#----- Save data for export to http://www.gpsvisualizer.com ----------------------------
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header = ['Trackpoint','Latitude','Longitude','speed','course']
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trackpoint = (np.arange(1,len(latitude)+1)).reshape(len(latitude),1)
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latitude = latitude.reshape(len(latitude),1)
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longitude = longitude.reshape(len(latitude),1)
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speed = speed.reshape(len(latitude),1)
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heading = heading.reshape(len(latitude),1)
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map_data = np.hstack((trackpoint, latitude, longitude, speed, heading))
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with open('gps_data.csv','w') as f:
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f_csv = csv.writer(f)
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f_csv.writerow(header)
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for row in map_data:
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for el in row:
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f.write(repr(el)+', ')
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f.write('\n')
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np.savetxt('map_data.csv', map_data, delimiter = ',', comments='', header = 'trackpoint,latitude,longitude,speed,course')
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if produce_pymap:
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########## CONSTRUCTOR: pygmaps.maps(latitude, longitude, zoom) ##############################
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# DESC: initialize a map with latitude and longitude of center point
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# and map zoom level "15"
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# PARAMETER1: latitude (float) latittude of map center point
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# PARAMETER2: longitude (float) latittude of map center point
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# PARAMETER3: zoom (int) map zoom level 0~20
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# RETURN: the instant of pygmaps
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#========================================================================================
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mymap = pygmaps.gmaps.maps(latitude[0], longitude[0], 15)
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lat_shaped = latitude.reshape(len(latitude),1)
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long_shaped = longitude.reshape(len(latitude),1)
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#----- Draw the trial on a Google map ---------------------------------------------------
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path = np.hstack((lat_shaped,long_shaped)).tolist()
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red = 255
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blue = 0
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green = 0
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color = '#%02X%02X%02X' % (red,green,blue)
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mymap.add_path(path, color)
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# ########## FUNCTION: addpoint(latitude, longitude, [color])#############################
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# # DESC: add a point into a map and dispaly it, color is optional default is red
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# # PARAMETER1: latitude (float) latitude of the point
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# # PARAMETER2: longitude (float) longitude of the point
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# # PARAMETER3: color (string) color of the point showed in map, using HTML color code
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# # HTML COLOR CODE: http://www.computerhope.com/htmcolor.htm
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# # e.g. red "#FF0000", Blue "#0000FF", Green "#00FF00"
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# # RETURN: no return
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# #========================================================================================
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# mymap.addpoint(29.722168, -91.208519, 'Swiftships')
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########## FUNCTION: draw(file)######################################################
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# DESC: create the html map file (.html)
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# PARAMETER1: file (string) the map path and file
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# RETURN: no return, generate html file in specified directory
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#========================================================================================
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# define filename - assumes that original datafile was .csv
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# TODO: make this more robust
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map_filename = file_path.replace('csv','html')
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mymap.draw(map_filename)
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except (KeyboardInterrupt, SystemExit): # when you press ctrl+c
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pass
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‎GPS_visualization/poyboard_log.csv

+9-9
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@@ -1,14 +1,14 @@
1-
(0, 0, 0),(22, 21, 22.0), (30.21021, -92.02254), (30.21022, -92.02257), 303.0602, 301.5501, 1.510101, 37.75057
1+
(22, 21, 22.0), (30.21021, -92.02254), (30.21022, -92.02257), 303.0602, 301.5501, 1.510101, 37.75057
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(22, 21, 26.0), (30.21022, -92.02257), (30.21023, -92.02258), 270.0, 302.6246, 32.6246, 36.63803
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(22, 21, 31.0), (30.21023, -92.02258), (30.21022, -92.02262), 247.9518, 307.15, 59.19818, 34.59551
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(22, 21, 39.0), (30.21022, -92.02262), (30.21021, -92.02268), 260.8697, 315.232, 54.36237, 30.63033
55
(22, 21, 45.0), (30.21021, -92.02268), (30.2102, -92.02273), 265.275, 322.4698, 57.19482, 27.87095
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(22, 21, 51.0), (30.2102, -92.02273), (30.21023, -92.02275), 323.4715, 322.6032, 0.8683777, 24.86348
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(22, 21, 54.0), (30.21023, -92.02275), (30.21023, -92.02277), 274.1366, 327.4764, 53.3398223.04159
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(22, 22, 2.0), (30.21023, -92.02277), (30.21023, -92.02281), 272.7604, 336.0145, 63.2540920.82261
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(22, 22, 6.0), (30.21023, -92.02281), (30.21024, -92.02284), 295.741, 340.1972, 44.4562119.37931
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(22, 22, 14.0), (30.21024, -92.02284), (30.21026, -92.02288), 302.4742, 348.5063, 46.032116.28836
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(22, 22, 17.0), (30.21026, -92.02288), (30.21026, -92.0229), 295.741, 355.0608, 59.3198315.25105
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(22, 22, 22.0), (30.21026, -92.0229), (30.21028, -92.02292), 288.6498, 10.72534, 82.0755313.92486
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(22, 22, 28.0), (30.21028, -92.02292), (30.21031, -92.02294), 348.5063, 17.15216, 28.6458411.13115
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(22, 22, 34.0), (30.21031, -92.02294), (30.21034, -92.02292), 9.805939, 21.01086, 11.204937.324474
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(22, 21, 54.0), (30.21023, -92.02275), (30.21023, -92.02277), 274.1366, 327.4764, 53.33982, 23.04159
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(22, 22, 2.0), (30.21023, -92.02277), (30.21023, -92.02281), 272.7604, 336.0145, 63.25409, 20.82261
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(22, 22, 6.0), (30.21023, -92.02281), (30.21024, -92.02284), 295.741, 340.1972, 44.45621, 19.37931
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(22, 22, 14.0), (30.21024, -92.02284), (30.21026, -92.02288), 302.4742, 348.5063, 46.0321, 16.28836
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(22, 22, 17.0), (30.21026, -92.02288), (30.21026, -92.0229), 295.741, 355.0608, 59.31983, 15.25105
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(22, 22, 22.0), (30.21026, -92.0229), (30.21028, -92.02292), 288.6498, 10.72534, 82.07553, 13.92486
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(22, 22, 28.0), (30.21028, -92.02292), (30.21031, -92.02294), 348.5063, 17.15216, 28.64584, 11.13115
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(22, 22, 34.0), (30.21031, -92.02294), (30.21034, -92.02292), 9.805939, 21.01086, 11.2049, 37.324474

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