Spanwise Average¶
Description¶
Spanwise averaging along a given axis of a base.
This treatment spawns multiple processes thanks to the multiprocessing package.
Parameters¶
- base:
Base The input base.
- base:
- axis: list(float),
The Cartesian coordinates of the axis along with the averaging will be performed.
- nb_cuts: int,
The desired number of cuts for the averaging.
- nb_procs: int,
The desired number of proc used to perform the averaging.
- minmax: list(float), default= [np.amin(base[0][0][‘x’]), np.amax(base[0][0][‘x’])]
Minimum and maximum values defining the spanwise averaging window.
Preconditions¶
The coordinates must be (at least) in the first instant.
Postconditions¶
Example¶
The following example shows an azimuthal average along the x-axis (1., 0., 0.) from x=0.1 to x=0.2.
import antares
myt = antares.Treatment('SpanwiseAverage')
myt['base'] = base
myt['axis'] = [1., 0., 0.]
myt['minmax'] = [0.1, 0.2]
myt['nb_procs'] = 10
myt['nb_cuts'] = 180
cutbase = myt.execute()