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author | Gard Spreemann <gspr@nonempty.org> | 2021-12-29 19:26:32 +0100 |
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committer | Gard Spreemann <gspr@nonempty.org> | 2021-12-29 19:26:32 +0100 |
commit | 367366a649f57a147456f11f7e803de12ced3b8f (patch) | |
tree | a900af1302f4a6923323d203ae8cc22550b59e8f /ot/plot.py | |
parent | 88d850422a838c29d70ef757d04ab57707d7cd26 (diff) | |
parent | edab1c60630f95b38db430017585d06253c92817 (diff) |
Merge branch 'dfsg/latest' into debian/sid
Diffstat (limited to 'ot/plot.py')
-rw-r--r-- | ot/plot.py | 4 |
1 files changed, 2 insertions, 2 deletions
@@ -18,7 +18,7 @@ from matplotlib import gridspec def plot1D_mat(a, b, M, title=''): - """ Plot matrix :math:`\mathbf{M}` with the source and target 1D distribution + r""" Plot matrix :math:`\mathbf{M}` with the source and target 1D distribution Creates a subplot with the source distribution :math:`\mathbf{a}` on the left and target distribution :math:`\mathbf{b}` on the top. The matrix :math:`\mathbf{M}` is shown in between. @@ -61,7 +61,7 @@ def plot1D_mat(a, b, M, title=''): def plot2D_samples_mat(xs, xt, G, thr=1e-8, **kwargs): - """ Plot matrix :math:`\mathbf{G}` in 2D with lines using alpha values + r""" Plot matrix :math:`\mathbf{G}` in 2D with lines using alpha values Plot lines between source and target 2D samples with a color proportional to the value of the matrix :math:`\mathbf{G}` between samples. |