本文整理汇总了Python中dataset.Dataset.getFrames方法的典型用法代码示例。如果您正苦于以下问题：Python Dataset.getFrames方法的具体用法？Python Dataset.getFrames怎么用？Python Dataset.getFrames使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类dataset.Dataset的用法示例。
在下文中一共展示了Dataset.getFrames方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_create_asciixyc_frame
# 需要导入模块: from dataset import Dataset [as 别名]
# 或者: from dataset.Dataset import getFrames [as 别名]
def test_create_asciixyc_frame(self):
self.assertEqual(1, 1)
## The dataset wrapper.
ds = Dataset("testdata/ASCIIxyC")
## The frames from the test dataset.
frames = ds.getFrames((51.509915, -0.142515, 34.02))
# The tests
#-----------
## The cluster finder from the first frame.
kf = KlusterFinder(frames[0].getPixelMap(), frames[0].getWidth(), frames[0].getHeight(), frames[0].isMC())
# The number of clusters in the first frame.
#
# This frame has 34 clusters.
self.assertEqual(kf.getNumberOfKlusters(), 34)
self.assertEqual(kf.getNumberOfGammas(), 12)
self.assertEqual(kf.getNumberOfMonopixels(), 4)
self.assertEqual(kf.getNumberOfBipixels(), 2)
self.assertEqual(kf.getNumberOfTripixelGammas(), 4)
self.assertEqual(kf.getNumberOfTetrapixelGammas(), 2)
## The list of clusters.
ks = kf.getListOfKlusters()
# Double check the number of clusters found.
self.assertEqual(len(ks), 34)
# The first - and largest - cluster.
# Cluster size (number of pixels).
self.assertEqual(ks[0].getNumberOfPixels(), 104)
# Cluster location (raw pixels).
self.assertEqual(ks[0].getXMin(), 141)
self.assertEqual(ks[0].getXMax(), 153)
self.assertEqual(ks[0].getYMin(), 230)
self.assertEqual(ks[0].getYMax(), 244)
# Cluster width and height.
self.assertEqual(ks[0].getWidth(), 13)
self.assertEqual(ks[0].getHeight(), 15)
# Cluster properties based on the unweighted (UW) mean.
# * Location.
self.assertAlmostEqual(ks[0].getXUW(), 146.673077, places=6)
self.assertAlmostEqual(ks[0].getYUW(), 237.375000, places=6)
# * Radius and density.
self.assertAlmostEqual(ks[0].getRadiusUW(), 8.550607, places=6)
self.assertAlmostEqual(ks[0].getDensityUW(), 0.452782, places=6)
# Counts.
self.assertEqual(ks[0].getTotalCounts(), 8854)
self.assertEqual(ks[0].getMaxCountValue(), 577)
# Energy.
self.assertAlmostEqual(ks[0].getTotalEnergy(), 0.0, places=6)
self.assertAlmostEqual(ks[0].getMaxEnergy(), 0.0, places=6)
# Linearity.
m, c, sumR = ks[0].getLineOfBestFitValues()
self.assertAlmostEqual(m, -0.827317, places=6)
self.assertAlmostEqual(c, 358.720154, places=6)
self.assertAlmostEqual(sumR, 211.088562, places=6)
# Edge pixels.
self.assertEqual(ks[0].getNumberOfEdgePixels(), 57)
self.assertAlmostEqual(ks[0].getInnerPixelFraction(), 0.451923, places=6)
self.assertAlmostEqual(ks[0].getOuterPixelFraction(), 0.548077, places=6)
# Is it a Monte Carlo cluster?
self.assertEqual(ks[0].isMC(), False)
# Is it an edge cluster?
self.assertEqual(ks[0].isEdgeCluster(), False)
# A mid-range cluster.
# Cluster size (number of pixels).
self.assertEqual(ks[10].getNumberOfPixels(), 19)
# Cluster location (raw pixels).
self.assertEqual(ks[10].getXMin(), 167.0)
self.assertEqual(ks[10].getXMax(), 173.0)
self.assertEqual(ks[10].getYMin(), 196.0)
self.assertEqual(ks[10].getYMax(), 201.0)
# Cluster width and height.
self.assertEqual(ks[10].getWidth(), 7.0)
self.assertEqual(ks[10].getHeight(), 6.0)
# Cluster properties based on the unweighted (UW) mean.
# * Location.
#.........这里部分代码省略.........
示例2: test_create_asciixyc_frame
# 需要导入模块: from dataset import Dataset [as 别名]
# 或者: from dataset.Dataset import getFrames [as 别名]
def test_create_asciixyc_frame(self):
self.assertEqual(1, 1)
## The dataset wrapper.
ds = Dataset("testdata/ASCIIxyC")
## The frames from the dataset.
frames = ds.getFrames((51.509915, -0.142515, 34.02))
# The tests
#-----------
#
# The number of frames.
self.assertEqual(len(frames), 5)
#
# Spatial information.
self.assertEqual(frames[0].getLatitude(), 51.509915)
self.assertEqual(frames[0].getLongitude(), -0.142515)
self.assertEqual(frames[0].getAltitude(), 34.02)
#
self.assertEqual(frames[0].getRoll(), 0.0)
self.assertEqual(frames[0].getPitch(), 0.0)
self.assertEqual(frames[0].getYaw(), 0.0)
#
self.assertEqual(frames[0].getOmegax(), 0.0)
self.assertEqual(frames[0].getOmegay(), 0.0)
self.assertEqual(frames[0].getOmegaz(), 0.0)
#
# Temporal information.
self.assertEqual(frames[0].getStartTime(), 1371575424.293207)
self.assertEqual(frames[0].getStartTimeSec(), 1371575424)
self.assertEqual(frames[0].getStartTimeSubSec(), 293207)
self.assertEqual(frames[0].getEndTime(), 1371575425.293207)
self.assertEqual(frames[0].getEndTimeSec(), 1371575425)
self.assertEqual(frames[0].getEndTimeSubSec(), 293207)
self.assertEqual(frames[0].getAcqTime(), 1.0)
#
# Detector information.
self.assertEqual(frames[0].getChipId(), "B06-W0212")
#
self.assertEqual(frames[0].getBiasVoltage(), 18.0)
self.assertEqual(frames[0].getIKrum(), 1)
#
self.assertEqual(frames[0].getDetx(), 0.0)
self.assertEqual(frames[0].getDety(), 0.0)
self.assertEqual(frames[0].getDetz(), 0.0)
self.assertEqual(frames[0].getDetEulera(), 0.0)
self.assertEqual(frames[0].getDetEulerb(), 0.0)
self.assertEqual(frames[0].getDetEulerc(), 0.0)
#
# Payload information.
self.assertEqual(frames[0].getWidth(), 256)
self.assertEqual(frames[0].getHeight(), 256)
self.assertEqual(frames[0].getFormat(), 4114)
self.assertEqual(frames[0].getRawNumberOfPixels(), 735)
self.assertEqual(frames[0].getOccupancy(), 735)
self.assertAlmostEqual(frames[0].getOccupancyPc(), 0.011215, places=6)
self.assertEqual(frames[0].getNumberOfUnmaskedPixels(), 735)
self.assertEqual(frames[0].getNumberOfMaskedPixels(), 0)
#
self.assertEqual(frames[0].isMC(), False)
#
# Cluster information.
self.assertEqual(frames[0].getNumberOfKlusters(), 34)
self.assertEqual(frames[0].getNumberOfGammas(), 12)
self.assertEqual(frames[0].getNumberOfMonopixels(), 4)
self.assertEqual(frames[0].getNumberOfBipixels(), 2)
self.assertEqual(frames[0].getNumberOfTripixelGammas(), 4)
self.assertEqual(frames[0].getNumberOfTetrapixelGammas(), 2)
self.assertEqual(frames[0].getNumberOfNonGammas(), 22)示例3: test_create_asciixyc_frame
# 需要导入模块: from dataset import Dataset [as 别名]
# 或者: from dataset.Dataset import getFrames [as 别名]
def test_create_asciixyc_frame(self):
## The dataset wrapper.
ds = Dataset("testdata/B06-W0212/2014-04-02-150255/ASCIIxyC/")
## The frame metadata.
fmd = None
#
with open("testdata/B06-W0212/2014-04-02-150255/metadata.json", "r") as fmdf:
fmd = json.load(fmdf, fmd)
#
lat, lon, alt = fmd[0]['lat'], fmd[0]['lon'], fmd[0]['alt']
## The pixel mask.
pixel_mask = {}
with open("testdata/B06-W0212/2014-04-02-150255/masked_pixels.txt", "r") as mpf:
rows = mpf.readlines()
for row in rows:
vals = [int(val) for val in row.strip().split("\t")]
x = vals[0]; y = vals[1]; X = (256*y) + x; C = 1
pixel_mask[X] = C
## The frames from the dataset.
frames = ds.getFrames((lat, lon, alt), pixelmask=pixel_mask)
# The tests
#-----------
#
# The number of frames.
self.assertEqual(len(frames), 60)
#
# Spatial information.
self.assertEqual(frames[0].getLatitude(), 51.261015)
self.assertEqual(frames[0].getLongitude(), -1.084127)
self.assertEqual(frames[0].getAltitude(), 48.0 )
#
self.assertEqual(frames[0].getRoll(), 0.0)
self.assertEqual(frames[0].getPitch(), 0.0)
self.assertEqual(frames[0].getYaw(), 0.0)
#
self.assertEqual(frames[0].getOmegax(), 0.0)
self.assertEqual(frames[0].getOmegay(), 0.0)
self.assertEqual(frames[0].getOmegaz(), 0.0)
#
# Temporal information.
self.assertEqual(frames[0].getStartTime(), 1396447375.004957)
self.assertEqual(frames[0].getStartTimeSec(), 1396447375)
self.assertEqual(frames[0].getStartTimeSubSec(), 4957)
self.assertEqual(frames[0].getEndTime(), 1396447435.004957)
self.assertEqual(frames[0].getEndTimeSec(), 1396447435)
self.assertEqual(frames[0].getEndTimeSubSec(), 4957)
self.assertEqual(frames[0].getAcqTime(), 60.0)
#
# Detector information.
self.assertEqual(frames[0].getChipId(), "B06-W0212")
#
self.assertEqual(frames[0].getBiasVoltage(), 95.0)
self.assertEqual(frames[0].getIKrum(), 1)
#
self.assertEqual(frames[0].getDetx(), 0.0)
self.assertEqual(frames[0].getDety(), 0.0)
self.assertEqual(frames[0].getDetz(), 0.0)
self.assertEqual(frames[0].getDetEulera(), 0.0)
self.assertEqual(frames[0].getDetEulerb(), 0.0)
self.assertEqual(frames[0].getDetEulerc(), 0.0)
#
# Payload information.
self.assertEqual(frames[0].getWidth(), 256)
self.assertEqual(frames[0].getHeight(), 256)
self.assertEqual(frames[0].getFormat(), 4114)
self.assertEqual(frames[0].getRawNumberOfPixels(), 57)
self.assertEqual(frames[0].getOccupancy(), 57)
self.assertAlmostEqual(frames[0].getOccupancyPc(), 0.000870, places=6)
self.assertEqual(frames[0].getNumberOfUnmaskedPixels(), 57)
self.assertEqual(frames[0].getNumberOfMaskedPixels(), 29)
#
self.assertEqual(frames[0].isMC(), False)
# The masked pixels.
self.assertEqual(frames[0].getNumberOfMaskedPixels(), 29)
#
# Cluster information.
self.assertEqual(frames[0].getNumberOfKlusters(), 9)
self.assertEqual(frames[0].getNumberOfGammas(), 5)
self.assertEqual(frames[0].getNumberOfMonopixels(), 1)
self.assertEqual(frames[0].getNumberOfBipixels(), 0)
self.assertEqual(frames[0].getNumberOfTripixelGammas(), 2)
self.assertEqual(frames[0].getNumberOfTetrapixelGammas(), 2)
self.assertEqual(frames[0].getNumberOfNonGammas(), 4)示例4: test_create_asciixyc_frame
# 需要导入模块: from dataset import Dataset [as 别名]
# 或者: from dataset.Dataset import getFrames [as 别名]
def test_create_asciixyc_frame(self):
## The dataset wrapper.
ds = Dataset("testdata/B06-W0212/2014-04-02-150255/RAW/ASCIIxyC/")
## The frame metadata.
fmd = None
#
with open("testdata/B06-W0212/2014-04-02-150255/geo.json", "r") as fmdf:
fmd = json.load(fmdf, fmd)
#
lat, lon, alt = fmd['lat'], fmd['lon'], fmd['alt']
## The pixel mask.
pixel_mask = {}
with open("testdata/B06-W0212/2014-04-02-150255/masked_pixels.txt", "r") as mpf:
rows = mpf.readlines()
for row in rows:
vals = [int(val) for val in row.strip().split("\t")]
x = vals[0]; y = vals[1]; X = (256*y) + x; C = 1
pixel_mask[X] = C
## The frames from the dataset.
frames = ds.getFrames((lat, lon, alt), pixelmask=pixel_mask)
# The tests
#-----------
## The cluster finder from the first frame.
kf = KlusterFinder(frames[0].getPixelMap(), frames[0].getWidth(), frames[0].getHeight(), frames[0].isMC())
# The number of clusters in the first frame.
#
# This frame has 34 clusters.
self.assertEqual(kf.getNumberOfKlusters(), 9)
self.assertEqual(kf.getNumberOfGammas(), 2)
self.assertEqual(kf.getNumberOfMonopixels(), 1)
self.assertEqual(kf.getNumberOfBipixels(), 0)
self.assertEqual(kf.getNumberOfTripixelGammas(), 0)
self.assertEqual(kf.getNumberOfTetrapixelGammas(), 1)
## The list of clusters.
ks = kf.getListOfKlusters()
# Double check the number of clusters found.
self.assertEqual(len(ks), 9)
# The first - and largest - cluster.
# Cluster size (number of pixels).
self.assertEqual(ks[0].getNumberOfPixels(), 25)
# Cluster location (raw pixels).
self.assertEqual(ks[0].getXMin(), 99)
self.assertEqual(ks[0].getXMax(), 110)
self.assertEqual(ks[0].getYMin(), 179)
self.assertEqual(ks[0].getYMax(), 193)
# Cluster width and height.
self.assertEqual(ks[0].getWidth(), 12)
self.assertEqual(ks[0].getHeight(), 15)
# Cluster properties based on the unweighted (UW) mean.
# * Location.
self.assertAlmostEqual(ks[0].getXUW(), 104.16, places=6)
self.assertAlmostEqual(ks[0].getYUW(), 185.320, places=6)
# * Radius and density.
self.assertAlmostEqual(ks[0].getRadiusUW(), 8.73430, places=6)
self.assertAlmostEqual(ks[0].getDensityUW(), 0.104312, places=6)
# Counts.
self.assertEqual(ks[0].getTotalCounts(), 879)
self.assertEqual(ks[0].getMaxCountValue(), 88)
# Energy.
self.assertAlmostEqual(ks[0].getTotalEnergy(), 0.0, places=6)
self.assertAlmostEqual(ks[0].getMaxEnergy(), 0.0, places=6)
# Linearity.
m, c, sumR = ks[0].getLineOfBestFitValues()
self.assertAlmostEqual(m, -1.127456, places=6)
self.assertAlmostEqual(c, 302.755829, places=6)
self.assertAlmostEqual(sumR, 16.283415, places=6)
# Edge pixels.
self.assertEqual(ks[0].getNumberOfEdgePixels(), 25)
self.assertAlmostEqual(ks[0].getInnerPixelFraction(), 0.0, places=6)
self.assertAlmostEqual(ks[0].getOuterPixelFraction(), 1.0, places=6)
# Is it a Monte Carlo cluster?
self.assertEqual(ks[0].isMC(), False)
# Is it an edge cluster?
self.assertEqual(ks[0].isEdgeCluster(), False)