def draw_reachability_dis_base(dis_path, base_result_path, s=1, show=True, title='title', max_y=None):
lines = Line(title=title, max_y=max_y)
# 画所有的dis
allCoords = [[], []]
reader = IterableReader(dis_path)
i = 0
id_2_index = {}
for line in reader:
allCoords[0].append(i)
coords = line.split(Global.delimiterLevel1)[1].split(Global.delimiterSpace)
allCoords[1].append(float(coords[1]))
id_2_index[line.split(Global.delimiterLevel1)[0]] = i
i = i + 1
lines.draw_line(allCoords, s=s)
# 画base_result对于的dis
clusterCoords = [[], []]
reader = IterableReader(base_result_path)
for line in reader:
if line.startswith('Cluster'):
lines.draw_line(clusterCoords, s=s, c=Line.color())
clusterCoords = [[], []]
if line.startswith('-1'):
orderId = id_2_index[line.split(Global.delimiterLevel1)[1]]
clusterCoords[0].append(allCoords[0][orderId])
clusterCoords[1].append(allCoords[1][orderId])
if show:
lines.show()
return lines
def draw_reachability_dis_cluster(dis_path, result_path, s=1, show=True, title='title', max_y=None):
lines = Line(title=title, max_y=max_y)
# 画所有的dis
allCoords = [[], []]
reader = IterableReader(dis_path)
i = 0
for line in reader:
allCoords[0].append(i)
coords = line.split(Global.delimiterLevel1)[1].split(Global.delimiterSpace)
allCoords[1].append(float(coords[1]))
i = i + 1
lines.draw_line(allCoords, s=s)
# 画聚类出的dis
clusterCoords = [[], []]
reader = IterableReader(result_path)
for line in reader:
if line.startswith('qParams'):
continue
elif line.startswith('Cluster'):
if len(clusterCoords) != 0:
lines.draw_line(clusterCoords, s=s, c='red')
clusterCoords = [[], []]
elif line.startswith('cluster_num'):
continue
else:
orderId = int(line.split(Global.delimiterLevel1)[0])
clusterCoords[0].append(allCoords[0][orderId])
clusterCoords[1].append(allCoords[1][orderId])
lines.draw_line(clusterCoords, s=s, c='red')
if show:
lines.show()
return lines
def draw_result(all_coord_path, result_path, s=10, show=True, title='title', pathBgImg = None,
xlim=None, ylim=None, fName = 'test.pdf', showXY = False):
# scatter = Scatter.draw_orginal_coord(all_coord_path, s=s, show=False, title=title, pathBgImg=pathBgImg, xlim=xlim, ylim=ylim)
# if xs is None:
# self.xs = []
# for i in range(0, 11, 1):
# self.xs.append(i * 0.1)
# else:
# self.xs = xs;
# if ys is None:
# self.ys = []
# for i in range(0, 11, 1):
# self.ys.append(i * 0.1)
# else:
# self.ys = ys;
xs = []
for i in range(0, 11, 1):
xs.append(i * 0.1)
ys = xs
# xlim = [0, 1]
# ylim = [0, 1]
Scatter.index_marker = 0
scatter = Scatter(title=title[title.rindex('\\') + 1:], xs=xs, ys=ys, pathBgImg = pathBgImg,
xlim=xlim, ylim=ylim, fName=fName, showXY=showXY)
allCoords = [[], []]
centerCoords = [[], []]
reader = IterableReader(result_path)
for line in reader:
if line.startswith('qParams'):
coords = line.split(Global.delimiterLevel1)[1].split(Global.delimiterSpace)
# if float(coords[0]) >= scatter.xlim[0] and float(coords[0]) <= scatter.xlim[1] and float(coords[1]) >= scatter.ylim[0] and float(coords[1]) <= scatter.ylim[1]:
# continue
centerCoords[0].append(float(coords[0]))
centerCoords[1].append(float(coords[1]))
elif line.startswith('Cluster'):
scatter.draw_scatter(allCoords, s=s, marker=Scatter.marker(), c=Scatter.color())
# scatter.draw_scatter(allCoords, s=s)
allCoords[0].clear()
allCoords[1].clear()
elif line.startswith("cluster_num"):
continue
else:
coords = line.split(Global.delimiterLevel1)[2].split(Global.delimiterSpace)
# if float(coords[0]) >= scatter.xlim[0] and float(coords[0]) <= scatter.xlim[1] and float(coords[1]) >= scatter.ylim[0] and float(coords[1]) <= scatter.ylim[1]:
# continue
allCoords[0].append(float(coords[0]))
allCoords[1].append(float(coords[1]))
scatter.draw_scatter(allCoords, s=s, marker=Scatter.marker(), c=Scatter.color())
# scatter.draw_scatter(allCoords, s=s)
scatter.draw_scatter(centerCoords, s=s, marker='*')
if show:
scatter.show()
Scatter.index_colors = -1
return scatter
def draw_k_nearest_distance(file_paths, title='title', fName='test.pdf'):
upRate = 1000000000
myline = Line(title,
fName=fName,
yscale='log',
ylim=[1, upRate],
xlabel='number of object',
ylable='distance (m)')
for file_path in file_paths:
allCoords = [[], []]
reader = IterableReader(file_path)
i = 1
for line in reader:
allCoords[0].append(i)
coords = line.split(Global.delimiterLevel1)
allCoords[1].append(float(coords[0]) * upRate + 1)
i = i + 1
myline.drawLine(
allCoords[0],
allCoords[1],
label="k = " +
file_path[file_path.rindex("_") + 1:file_path.rindex(".")],
linewidth=2,
dashes=myline.dash())
myline.show()
return myline
def draw_k_nearest_distance(file_paths, s=10, show=True, title='title'):
upRate = 1000000000
scatter = Scatter(title=title,
ylim=[1, upRate],
yscale='log',
markerscale=8)
for file_path in file_paths:
allCoords = [[], []]
reader = IterableReader(file_path)
i = 1
for line in reader:
allCoords[0].append(i)
coords = line.split(Global.delimiterLevel1)
allCoords[1].append(float(coords[0]) * upRate + 1)
i = i + 1
scatter.draw_scatter(
allCoords,
s=s,
marker='o',
label="k = " +
file_path[file_path.rindex("_") + 1:file_path.rindex(".")])
if show:
scatter.show()
Scatter.index_colors = -1
return scatter
def draw_orginal_coord(path,
s=1,
marker='o',
show=True,
title='title',
pathBgImg=None,
xlim=None,
ylim=None,
scala=10000000000):
scatter = Scatter(title=title,
xlim=xlim,
ylim=ylim,
pathBgImg=pathBgImg)
allCoords = [[], []]
reader = IterableReader(path)
i = 0
recAccCoords = set()
for line in reader:
coords = line.split(Global.delimiterLevel1)[1].split(
Global.delimiterSpace)
lon = float(coords[0])
lon = int(lon * scala) / float(scala)
lat = float(coords[1])
lat = int(lat * scala) / float(scala)
if lon * lat in recAccCoords: continue
else: recAccCoords.add(lon * lat)
allCoords[0].append(lon)
allCoords[1].append(lat)
i = i + 1
scatter.draw_scatter(allCoords, s=s, marker=marker, c='#AFEEEE')
print("num coord: " + str(i))
if show:
scatter.show()
return scatter
def draw_reachability_dis(file_path, s=1, show=True, title='title', max_y=None):
lines = Line(title=title, max_y=max_y)
allCoords = [[], []]
reader = IterableReader(file_path)
i = 0
for line in reader:
allCoords[0].append(i)
coords = line.split(Global.delimiterLevel1)[1].split(Global.delimiterSpace)
allCoords[1].append(float(coords[1]))
i = i + 1
lines.draw_line(allCoords, s=s)
if show:
lines.show()
Scatter.index_colors = -1
return lines
def draw_reachability_dis(file_path, s=10, show=True, title='title'):
scatter = Scatter(title=title)
allCoords = [[], []]
reader = IterableReader(file_path)
i = 1
for line in reader:
allCoords[0].append(i)
coords = line.split(Global.delimiterLevel1)[1].split(Global.delimiterSpace)
allCoords[1].append(float(coords[1]))
i = i + 1
scatter.draw_scatter(allCoords, s=s, marker='v')
if show:
scatter.show()
Scatter.index_colors = -1
return scatter
def loadCsv(dir, rFanout=50, alpha=0.5, steepD=0.1, h=15, om=1, oe='1.0E-4', ns=50, t=1, k=5000, nw=2, mpts=5,
eps='0.001', xi='0.001', maxPNeiByte=2147483631):
fp = PathUtility.sample_res_path(dir, rFanout, alpha, steepD, h, om, oe, ns, t, k, nw, mpts,eps, xi, maxPNeiByte)
filename = fp[fp.rindex('res') + 4:]
alldata = []
reader = IterableReader(fp)
index = 0
for line in reader:
if index == 0:
index += 1
continue
strArr = line.split(',')
data = Data(filename)
data.numSample = 1
data.numRangeRtree = int(strArr[7])
data.numOpticFastRange = int(strArr[16])
data.numOpticLuceneRange = int(strArr[18])
data.timeTotal = int(strArr[24])
data.numCluster = int(strArr[25])
alldata.append(data)
return alldata