ProcessSample¶
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class
ProcessSample
(*args)¶ Collection of fields.
 Available constructors:
ProcessSample(mesh, K, d)
ProcessSample(K, field)
 Parameters
Notes
A
ProcessSample
stores a sample of fields. We note K the number of fields contained in the process sample and d the dimension of the values associated to each vertex of the common mesh .These fields can be generated by a stochastic process.
In the first usage, we fix the common mesh with mesh, the number of fields contained in the sample with K and the dimension of the values with d. The values of the fields are by default fixed to zero.
In the second usage, the collection of fields is filled with K copies of the given field field.
We note the value of the field k at the vertex i. We note N the number of vertices of , with and .
Examples
Create a bi dimensional mesh as a box:
>>> import openturns as ot >>> myIndices = [10, 5] >>> myMesher = ot.IntervalMesher(myIndices) >>> lowerBound = [0.0, 0.0] >>> upperBound = [2.0, 1.0] >>> myInterval = ot.Interval(lowerBound, upperBound) >>> myMesh = myMesher.build(myInterval)
Create a second order normal porcess of dimension 3:
>>> amplitude = [5] >>> scale = [3, 3] >>> model = ot.ExponentialModel(scale, amplitude) >>> myProcess = ot.GaussianProcess(model, myMesh)
Generate a sample of different fields:
>>> n = 10 >>> mySampleFields = myProcess.getSample(n)
Duplicate the same field:
>>> myField = myProcess.getRealization() >>> n = 10 >>> mySampleFields2 = ot.ProcessSample(n, myField)
Methods
add
(self, \*args)Add a field to the collection.
computeMean
(self)Compute the mean field of the collection of fields.
computeQuantilePerComponent
(self, \*args)Compute the temporal mean of the values of the fields.
computeSpatialMean
(self)Compute the spatial mean of the values of the fields.
computeTemporalMean
(self)Compute the temporal mean of the values of the fields.
drawMarginal
(self[, index, interpolate])Draw the selected field.
getClassName
(self)Accessor to the object’s name.
getDimension
(self)Get the dimension of the values of fields.
getId
(self)Accessor to the object’s id.
getImplementation
(self)Accessor to the underlying implementation.
getMarginal
(self, \*args)Marginal sample accessor.
getMesh
(self)Get the mesh of the fields.
getName
(self)Accessor to the object’s name.
getSize
(self)Get the size of the collection of fields.
getTimeGrid
(self)Get the time grid of the fields.
setName
(self, name)Accessor to the object’s name.

__init__
(self, \*args)¶ Initialize self. See help(type(self)) for accurate signature.

add
(self, \*args)¶ Add a field to the collection.
 Parameters
 field
Field
A new field to add. This field shares the same mesh and the same dimension as the other fields of the collection.
 field

computeMean
(self)¶ Compute the mean field of the collection of fields.
 Returns
 mean
Field
The mean field has the same dimension d and the same mesh as the fields contained in the collection. At each vertex of the mesh, we calculate the mean of the values at this vertex of the K fields contained in the process sample:
 mean

computeQuantilePerComponent
(self, \*args)¶ Compute the temporal mean of the values of the fields.
 Parameters
 pfloat, , or sequence of float
Order of the quantile.
 Returns
 quantile
Field
orProcessSample
This field has the same size and the same dimension as the fields of the collection. At each vertex of the mesh, we estimate the componentwise quantile of order p, using the empirical quantile.
 quantile

computeSpatialMean
(self)¶ Compute the spatial mean of the values of the fields.
 Returns
 spatialMean
Sample
Its size is the number K of fields in the collection. Its dimension is d. The k numerical point is the spatial mean of the field k:
 spatialMean

computeTemporalMean
(self)¶ Compute the temporal mean of the values of the fields.
 Returns
 spatialMean
Sample
Its size is the number K of fields in the collection. Its dimension is d. The k numerical point is the temporal mean of the field k:
 This method can be used only when the mesh can be interpreted as a regular grid.
 spatialMean

drawMarginal
(self, index=0, interpolate=True)¶ Draw the selected field.
 Parameters
 indiceint
Index of the field that is drawn in the graph.
 interpolatebool (optional, default=True)
Whether to draw interpolated values.
 Returns
 graph
Graph
The graph of the selected field using the interpolate method.
 graph

getClassName
(self)¶ Accessor to the object’s name.
 Returns
 class_namestr
The object class name (object.__class__.__name__).

getDimension
(self)¶ Get the dimension of the values of fields.
 Returns
 dint
Dimension of the values of the fields.

getId
(self)¶ Accessor to the object’s id.
 Returns
 idint
Internal unique identifier.

getImplementation
(self)¶ Accessor to the underlying implementation.
 Returns
 implImplementation
The implementation class.

getMarginal
(self, \*args)¶ Marginal sample accessor.
 Parameters
 indiceint or sequence of int
Index of the marginals.
 Returns
 sample
ProcessSample
The marginal sample.
 sample

getMesh
(self)¶ Get the mesh of the fields.
 Returns
 mesh
Mesh
The mesh shared by all the fields of the collection.
 mesh

getName
(self)¶ Accessor to the object’s name.
 Returns
 namestr
The name of the object.

getSize
(self)¶ Get the size of the collection of fields.
 Returns
 Kint
Number of fields in the collection.

getTimeGrid
(self)¶ Get the time grid of the fields.
 Returns
 mesh
RegularGrid
The time grid shared by all the fields of the collection. Can be used only if the mesh can be interpreted as a regular time grid.
 mesh

setName
(self, name)¶ Accessor to the object’s name.
 Parameters
 namestr
The name of the object.