.. _sphx_glr_auto_examples_plot_OT_1D.py: ==================== 1D optimal transport ==================== This example illustrates the computation of EMD and Sinkhorn transport plans and their visualization. .. code-block:: python # Author: Remi Flamary # # License: MIT License import numpy as np import matplotlib.pylab as pl import ot import ot.plot from ot.datasets import make_1D_gauss as gauss Generate data ------------- .. code-block:: python #%% parameters n = 100 # nb bins # bin positions x = np.arange(n, dtype=np.float64) # Gaussian distributions a = gauss(n, m=20, s=5) # m= mean, s= std b = gauss(n, m=60, s=10) # loss matrix M = ot.dist(x.reshape((n, 1)), x.reshape((n, 1))) M /= M.max() Plot distributions and loss matrix ---------------------------------- .. code-block:: python #%% plot the distributions pl.figure(1, figsize=(6.4, 3)) pl.plot(x, a, 'b', label='Source distribution') pl.plot(x, b, 'r', label='Target distribution') pl.legend() #%% plot distributions and loss matrix pl.figure(2, figsize=(5, 5)) ot.plot.plot1D_mat(a, b, M, 'Cost matrix M') .. rst-class:: sphx-glr-horizontal * .. image:: /auto_examples/images/sphx_glr_plot_OT_1D_001.png :scale: 47 * .. image:: /auto_examples/images/sphx_glr_plot_OT_1D_002.png :scale: 47 Solve EMD --------- .. code-block:: python #%% EMD G0 = ot.emd(a, b, M) pl.figure(3, figsize=(5, 5)) ot.plot.plot1D_mat(a, b, G0, 'OT matrix G0') .. image:: /auto_examples/images/sphx_glr_plot_OT_1D_005.png :align: center Solve Sinkhorn -------------- .. code-block:: python #%% Sinkhorn lambd = 1e-3 Gs = ot.sinkhorn(a, b, M, lambd, verbose=True) pl.figure(4, figsize=(5, 5)) ot.plot.plot1D_mat(a, b, Gs, 'OT matrix Sinkhorn') pl.show() .. image:: /auto_examples/images/sphx_glr_plot_OT_1D_007.png :align: center .. rst-class:: sphx-glr-script-out Out:: It. |Err ------------------- 0|8.187970e-02| 10|3.460174e-02| 20|6.633335e-03| 30|9.797798e-04| 40|1.389606e-04| 50|1.959016e-05| 60|2.759079e-06| 70|3.885166e-07| 80|5.470605e-08| 90|7.702918e-09| 100|1.084609e-09| 110|1.527180e-10| **Total running time of the script:** ( 0 minutes 0.561 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: plot_OT_1D.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: plot_OT_1D.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_