.. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_functional_modeling_field_functions_plot_viscous_fall_field_function_connection.py: Define a connection function with a field output ================================================ In this example, we define a function which has a vector input and a field output. The goal of this example is to show how to use the `PointToFieldConnection` to combine two functions. A detailed explanation of the model is presented :ref:`here `. Define the model ---------------- .. code-block:: default from __future__ import print_function import openturns as ot import openturns.viewer as viewer from matplotlib import pylab as plt import numpy as np ot.Log.Show(ot.Log.NONE) We first define the time grid associated with the model. .. code-block:: default tmin=0.0 # Minimum time tmax=12. # Maximum time gridsize=100 # Number of time steps mesh = ot.IntervalMesher([gridsize-1]).build(ot.Interval(tmin, tmax)) .. code-block:: default vertices = mesh.getVertices() Creation of the input distribution. .. code-block:: default distZ0 = ot.Uniform(100.0, 150.0) distV0 = ot.Normal(55.0, 10.0) distM = ot.Normal(80.0, 8.0) distC = ot.Uniform(0.0, 30.0) distribution = ot.ComposedDistribution([distZ0, distV0, distM, distC]) .. code-block:: default dimension = distribution.getDimension() dimension .. rst-class:: sphx-glr-script-out Out: .. code-block:: none 4 Then we define the Python function which computes the altitude at each time value. This function has 5 inputs: `z0`, `v0`, `m`, `c` and `zmin`. .. code-block:: default def AltiFunc(X): g = 9.81 z0 = X[0] v0 = X[1] m = X[2] c = X[3] zmin = X[4] tau = m / c vinf = - m * g / c t = np.array(vertices) z = z0 + vinf * t + tau * (v0 - vinf) * (1 - np.exp( - t / tau)) z = np.maximum(z,zmin) return [[zeta[0]] for zeta in z] .. code-block:: default outputDimension = 1 altitudeWithFiveInputs = ot.PythonPointToFieldFunction(5, mesh, outputDimension, AltiFunc) Restrict the number of inputs ----------------------------- We define a function which has 4 inputs and 5 outputs: the 5th ouput `zmin` is set to zero. .. code-block:: default projectionFunction = ot.SymbolicFunction(["z0", "v0", "m", "c"], ["z0", "v0", "m", "c", "0.0"]) Then we use the `PointToFieldConnection` to create a function which has 4 inputs and returns the output field. .. code-block:: default altitudeWithFourInputs = ot.PointToFieldConnection(altitudeWithFiveInputs, projectionFunction) Sample trajectories -------------------- In order to sample trajectories, we use the `getSample` method of the input distribution and apply the field function. .. code-block:: default size = 10 inputSample = distribution.getSample(size) outputSample = altitudeWithFourInputs(inputSample) Draw some curves. .. code-block:: default graph = outputSample.drawMarginal(0) graph.setTitle('Viscous free fall: %d trajectories' % (size)) graph.setXTitle(r'$t$') graph.setYTitle(r'$z$') view = viewer.View(graph) plt.show() .. image:: /auto_functional_modeling/field_functions/images/sphx_glr_plot_viscous_fall_field_function_connection_001.png :alt: Viscous free fall: 10 trajectories :class: sphx-glr-single-img .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 0.093 seconds) .. _sphx_glr_download_auto_functional_modeling_field_functions_plot_viscous_fall_field_function_connection.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_viscous_fall_field_function_connection.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_viscous_fall_field_function_connection.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_