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-rw-r--r--examples/backends/plot_stoch_continuous_ot_pytorch.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/examples/backends/plot_stoch_continuous_ot_pytorch.py b/examples/backends/plot_stoch_continuous_ot_pytorch.py
index 6d9b916..714a5d3 100644
--- a/examples/backends/plot_stoch_continuous_ot_pytorch.py
+++ b/examples/backends/plot_stoch_continuous_ot_pytorch.py
@@ -125,8 +125,8 @@ pl.xlabel("Iterations")
# %%
-# Plot the density on arget for a given source sample
-# ---------------------------------------------------
+# Plot the density on target for a given source sample
+# ----------------------------------------------------
nv = 100
@@ -155,7 +155,7 @@ Gg = Gg.reshape((nv, nv)).detach().numpy()
pl.scatter(Xs[:nvisu, 0], Xs[:nvisu, 1], marker='+', zorder=2, alpha=0.05)
pl.scatter(Xt[:nvisu, 0], Xt[:nvisu, 1], marker='o', zorder=2, alpha=0.05)
pl.scatter(Xs[iv:iv + 1, 0], Xs[iv:iv + 1, 1], s=100, marker='+', label='Source sample', zorder=2, alpha=1, color='C0')
-pl.pcolormesh(XX, YY, Gg, cmap='Greens', label='Density of transported sourec sample')
+pl.pcolormesh(XX, YY, Gg, cmap='Greens', label='Density of transported source sample')
pl.legend(loc=0)
ax_bounds = pl.axis()
pl.title('Density of transported source sample')
@@ -169,7 +169,7 @@ Gg = Gg.reshape((nv, nv)).detach().numpy()
pl.scatter(Xs[:nvisu, 0], Xs[:nvisu, 1], marker='+', zorder=2, alpha=0.05)
pl.scatter(Xt[:nvisu, 0], Xt[:nvisu, 1], marker='o', zorder=2, alpha=0.05)
pl.scatter(Xs[iv:iv + 1, 0], Xs[iv:iv + 1, 1], s=100, marker='+', label='Source sample', zorder=2, alpha=1, color='C0')
-pl.pcolormesh(XX, YY, Gg, cmap='Greens', label='Density of transported sourec sample')
+pl.pcolormesh(XX, YY, Gg, cmap='Greens', label='Density of transported source sample')
pl.legend(loc=0)
ax_bounds = pl.axis()
pl.title('Density of transported source sample')
@@ -183,7 +183,7 @@ Gg = Gg.reshape((nv, nv)).detach().numpy()
pl.scatter(Xs[:nvisu, 0], Xs[:nvisu, 1], marker='+', zorder=2, alpha=0.05)
pl.scatter(Xt[:nvisu, 0], Xt[:nvisu, 1], marker='o', zorder=2, alpha=0.05)
pl.scatter(Xs[iv:iv + 1, 0], Xs[iv:iv + 1, 1], s=100, marker='+', label='Source sample', zorder=2, alpha=1, color='C0')
-pl.pcolormesh(XX, YY, Gg, cmap='Greens', label='Density of transported sourec sample')
+pl.pcolormesh(XX, YY, Gg, cmap='Greens', label='Density of transported source sample')
pl.legend(loc=0)
ax_bounds = pl.axis()
pl.title('Density of transported source sample')