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tadded position plotting - flytrexlog - read, manipulate, and plot flytrex logg… |
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git clone git://src.adamsgaard.dk/flytrexlog |
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LICENSE |
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--- |
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commit 7b8316db1357a064a8cf36a0572626444ea74463 |
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parent ad248b5fa743cb400d401688004385d2e467b932 |
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Author: Anders Damsgaard <[email protected]> |
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Date: Fri, 6 Jun 2014 08:40:38 +0200 |
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added position plotting |
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Diffstat: |
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M flytrex_20140601.py | 1 + |
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M flytrexlog.py | 45 +++++++++++++++++++++++++++--… |
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2 files changed, 41 insertions(+), 5 deletions(-) |
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--- |
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diff --git a/flytrex_20140601.py b/flytrex_20140601.py |
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t@@ -2,3 +2,4 @@ |
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import flytrexlog |
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flight = flytrexlog.csvfile('flytrex_quadcopter_mission_20140601.csv') |
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+flight.plot_position() |
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diff --git a/flytrexlog.py b/flytrexlog.py |
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t@@ -1,6 +1,7 @@ |
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#!/usr/bin/env python |
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import csv |
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import numpy |
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+import matplotlib.pyplot as plt |
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class csvfile: |
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def __init__(self, filename): |
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t@@ -9,8 +10,8 @@ class csvfile: |
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def read_csv(self, filename): |
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log = numpy.genfromtxt(filename, delimiter=',') |
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- f_to_m = 0.3048 # factor to convert from feet to meter |
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- mph_to_ms = 0.447 # miles/hour to meter/second |
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+ f_to_m = 0.3048 # factor to convert from feet to meter |
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+ mph_to_ms = 0.447 # miles/hour to meter/second |
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self.latitude = log[1:,0] |
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self.longitude = log[1:,1] |
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self.altitude = log[1:,2]*f_to_m |
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t@@ -22,11 +23,45 @@ class csvfile: |
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self.max_speed = log[1:,8]*mph_to_ms |
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self.max_distance = log[1:,9]*f_to_m |
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self.time = log[1:,10]/1000.0 # ms to s |
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- self.datetime_utc = log[1:,11] |
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- self.datetime = log[1:,12] |
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+ self.datetime_utc = log[1:,11] # ERROR: Not parsed correctly |
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+ self.datetime = log[1:,12] # ERROR: Not parsed correctly |
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self.sattelites = log[1:,13] |
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self.pressure = log[1:,14] |
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- self.temperature = (log[1:,15] - 32.0)/1.8 # Fahrenheit to Celcius |
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+ self.temperature = (log[1:,15] - 32.0)/1.8 # F to C |
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+ def plot_position(self): |
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+ ''' |
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+ Plot the GPS coordinates from the log through time. |
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+ ''' |
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+ f, axarr = plt.subplots(3, sharex=True) |
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+ axarr[0].plot(self.time, self.latitude) |
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+ axarr[0].set_ylabel('Latitude, $\phi$, [$^\circ$]') |
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+ axarr[0].grid() |
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+ axarr[0].set_title(self.filename) |
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+ |
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+ axarr[1].plot(self.time, self.longitude) |
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+ axarr[1].set_ylabel('Longitude, $\lambda$, [$^\circ$]') |
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+ axarr[1].grid() |
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+ |
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+ axarr[2].plot(self.time, self.altitude) |
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+ axarr[2].set_xlabel('Time [s]') |
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+ axarr[2].set_ylabel('Altitude [m]') |
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+ axarr[2].grid() |
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+ |
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+ #f.subplots_adjust(hspace=0.0) |
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+ plt.show() |
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+ |
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+ def utm_coordinate(self, datetime, format='local'): |
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+ ''' |
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+ Determines the GPS coordinate at a specified time. If no |
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+ recorded value is available at the specified time, linear |
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+ interpolation will approximate the coordinate. |
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+ |
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+ :param datetime: The timestamp for which the approximate |
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+ location is required |
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+ :type datetime: str |
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+ :param format: Format of the timestamp. Can be 'local' or 'utc' |
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+ :type format: str |
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+ ''' |
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