本文整理汇总了Python中spatialdata.spatialdb.SimpleDB.SimpleDB.open方法的典型用法代码示例。如果您正苦于以下问题：Python SimpleDB.open方法的具体用法？Python SimpleDB.open怎么用？Python SimpleDB.open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spatialdata.spatialdb.SimpleDB.SimpleDB的用法示例。
在下文中一共展示了SimpleDB.open方法的3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: getCellSizeDB
# 需要导入模块: from spatialdata.spatialdb.SimpleDB import SimpleDB [as 别名]
# 或者: from spatialdata.spatialdb.SimpleDB.SimpleDB import open [as 别名]
def getCellSizeDB(points):
from spatialdata.geocoords.CSCart import CSCart
from spatialdata.spatialdb.SimpleDB import SimpleDB
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
# Coordinate system for mesh (must match coordsys in ExodusII file)
cs = CSCart()
cs._configure()
cs.initialize()
# Spatial database with physical properties (Vs)
dbIO = SimpleIOAscii()
dbIO.inventory.filename = filenameDB
dbIO._configure()
db = SimpleDB()
db.inventory.iohandler = dbIO
db.inventory.label = "Physical properties"
db.inventory.queryType = "linear"
db._configure()
(npoints, spacedim) = points.shape
# Query database
db.open()
db.queryVals(["vs"])
data = numpy.zeros((npoints, 1), dtype=numpy.float64)
err = numpy.zeros((npoints,), dtype=numpy.int32)
db.multiquery(data, err, points, cs)
db.close()
vs = data[:,0]
cellSize = minPeriod*vs / 10.0
return cellSize示例2: test
# 需要导入模块: from spatialdata.spatialdb.SimpleDB import SimpleDB [as 别名]
# 或者: from spatialdata.spatialdb.SimpleDB.SimpleDB import open [as 别名]
def test(self):
"""
Test GenSimpleDBApp with 1-D data in 2-D space.
"""
from spatialdata.spatialdb.generator.GenSimpleDBApp import GenSimpleDBApp
from spatialdata.geocoords.CSCart import CSCart
from spatialdata.spatialdb.SimpleDB import SimpleDB
app = GenSimpleDBApp()
app.run()
# Test write using query
db = SimpleDB()
db.inventory.iohandler.inventory.filename = \
"data/gen1Din2D.spatialdb"
db.inventory.iohandler._configure()
db.inventory.label = "test"
db.inventory.queryType = "nearest"
db._configure()
qlocs = numpy.array( [[-2.0, 2.0],
[ 3.0, -4.0],
[ 0.0, 0.7]],
numpy.float64)
dataE = numpy.array( [[-0.15, 3.45],
[2.4, 6.4],
[-0.6, 3.45]], numpy.float64)
errE = [0, 0, 0]
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs.inventory.spaceDim = 2
cs._configure()
db.open()
db.queryVals(["two", "one"])
data = numpy.zeros(dataE.shape, dtype=numpy.float64)
err = []
nlocs = qlocs.shape[0]
for i in xrange(nlocs):
e = db.query(data[i,:], qlocs[i,:], cs)
err.append(e)
db.close()
self.assertEqual(len(errE), len(err))
for vE, v in zip(errE, err):
self.assertEqual(vE, v)
self.assertEqual(len(dataE.shape), len(data.shape))
for dE, d in zip(dataE.shape, data.shape):
self.assertEqual(dE, d)
for vE, v in zip(numpy.reshape(dataE, -1), numpy.reshape(data, -1)):
self.assertAlmostEqual(vE, v, 6)
return示例3: test_write
# 需要导入模块: from spatialdata.spatialdb.SimpleDB import SimpleDB [as 别名]
# 或者: from spatialdata.spatialdb.SimpleDB.SimpleDB import open [as 别名]
def test_write(self):
"""
Test write().
"""
# Database info
cs = CSCart()
cs.initialize()
filename = "data/test.spatialdb"
data = {'points': numpy.array( [ [1.0, 2.0, 3.0],
[0.5, 3.0, -3.0]], numpy.float64),
'coordsys': cs,
'data_dim': 1,
'values': [{'name': "One",
'units': "m",
'data': numpy.array( [2.0, 8.0], numpy.float64)},
{'name': "Two",
'units': "m",
'data': numpy.array( [-2.0, 3.0], numpy.float64)}]}
dataDim = 1
qlocs = numpy.array( [[0.875, 2.25, 1.5],
[0.6, 2.8, -1.8],
[1.0, 2.0, 3.0]],
numpy.float64)
valsE = numpy.array( [[-0.75, 3.5],
[2.0, 6.8],
[-2.0, 2.0]], numpy.float64)
errE = [0, 0, 0]
# Write database
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
writer = SimpleIOAscii()
writer.inventory.filename = filename
writer._configure()
writer.write(data)
# Test write using query
from spatialdata.spatialdb.SimpleDB import SimpleDB
db = SimpleDB()
db.inventory.label = "test"
db.inventory.queryType = "linear"
db.inventory.iohandler.inventory.filename = filename
db.inventory.iohandler._configure()
db._configure()
db.open()
db.queryVals(["two", "one"])
vals = numpy.zeros(valsE.shape, dtype=numpy.float64)
err = []
nlocs = qlocs.shape[0]
for i in xrange(nlocs):
e = db.query(vals[i,:], qlocs[i,:], cs)
err.append(e)
db.close()
self.assertEqual(len(valsE.shape), len(vals.shape))
for dE, d in zip(valsE.shape, vals.shape):
self.assertEqual(dE, d)
for vE, v in zip(numpy.reshape(valsE, -1), numpy.reshape(vals, -1)):
self.assertAlmostEqual(vE, v, 6)
return