course check working but gives wrong result
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@@ -14,6 +14,7 @@ from matplotlib import path
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import xml.etree.ElementTree as et
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import pandas as pd
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import numpy as np
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import dataprep
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@@ -85,12 +86,12 @@ def course_coord_maxmin(course):
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return lat_min,lat_max,long_min,long_max
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def polygon_to_path(polygon):
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points = GeoPoint.objects.filter(polygon==polygon).order_by("order_in_polygon")
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points = GeoPoint.objects.filter(polygon=polygon).order_by("order_in_poly")
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s = []
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for point in points:
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s.append([point.latitude,point.longitude])
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p = path.Path(np.array(s))
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p = path.Path(s[:-1])
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return p
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@@ -102,6 +103,10 @@ def coordinate_in_polygon(latitude,longitude, polygon):
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def time_in_polygon(df,polygon,maxmin='max'):
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if df.empty:
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return 0
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# df has timestamp, latitude, longitude
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p = polygon_to_path(polygon)
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@@ -112,10 +117,13 @@ def time_in_polygon(df,polygon,maxmin='max'):
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df['inpolygon'] = df.apply(f,axis=1)
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mask = df['inpolygon'] == True
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if df[mask].empty():
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raise InvalidTrajectoryError
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if df[mask].empty:
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print polygon.name
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raise InvalidTrajectoryError("Trajectory doesn't go through {name}".format(name=polygon.name))
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if maxmin == 'max':
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time = df[mask]['time'].max()
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@@ -237,6 +245,7 @@ def coursetime_polygons(data,polygons):
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try:
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entrytime = time_in_polygon(data,polygons[0],maxmin='min')
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coursecompleted = True
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print entrytime,polygons[0].name
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except InvalidTrajectoryError:
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entrytime = data['time'].max()
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coursecompleted = False
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@@ -245,6 +254,14 @@ def coursetime_polygons(data,polygons):
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if len(polygons) > 1:
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try:
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time = time_in_polygon(data, polygons[0])
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data = data[data['time']>time]
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data['time'] = data['time']-time
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print time,polygons[0].name
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timenext, coursecompleted = coursetime_polygons(data,polygons[1:])
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return time+timenext, coursecompleted
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except InvalidTrajectoryError:
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entrytime = data['time'].max()
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coursecompleted = False
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return entrytime, coursecompleted
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@@ -253,16 +270,27 @@ def get_time_course(ws,course):
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coursecompleted = 0
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w = ws[0]
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columns = ['time','latitude','longitude']
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columns = ['time',' latitude',' longitude']
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rowdata = dataprep.getsmallrowdata_db(
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columns,
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ids = [w.id],
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doclean=True,
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workstrokesonly=False
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)
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rowdata.rename(columns = {
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' latitude':'latitude',
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' longitude':'longitude',
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}, inplace=True)
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rowdata['time'] = rowdata['time']/1000.
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rowdata.fillna(method='backfill',inplace=True)
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rowdata['time'] = rowdata['time']-rowdata.ix[0,'time']
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# we may want to expand the time (interpolate)
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polygons = GeoPolygon.object.filter(course=course)
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polygons = GeoPolygon.objects.filter(course=course)
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coursetimeseconds,coursecompleted = coursetime_polygons(rowdata,polygons)
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