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[latent plots] legend was always plotted

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This commit is contained in:
Max Zwiessele 2016-02-26 09:43:28 +00:00
parent b957bb2016
commit e73fcac521
1 changed files with 2 additions and 2 deletions
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4
GPy/plotting/gpy_plot/latent_plots.py
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@ -188,7 +188,7 @@ def plot_magnification(self, labels=None, which_indices=None,
_, _, Xgrid, _, _, xmin, xmax, resolution = helper_for_plot_data(self, X, plot_limits, which_indices, None, resolution)
canvas, imshow_kwargs = pl().new_canvas(xlim=(xmin[0], xmax[0]), ylim=(xmin[1], xmax[1]),
xlabel='latent dimension %i' % input_1, ylabel='latent dimension %i' % input_2, **imshow_kwargs)
if (labels is not None):
if (labels is not None) and legend:
legend = find_best_layout_for_subplots(len(np.unique(labels)))[1]
else:
labels = np.ones(self.num_data)
@ -254,7 +254,7 @@ def plot_latent(self, labels=None, which_indices=None,
_, _, Xgrid, _, _, xmin, xmax, resolution = helper_for_plot_data(self, X, plot_limits, which_indices, None, resolution)
canvas, imshow_kwargs = pl().new_canvas(xlim=(xmin[0], xmax[0]), ylim=(xmin[1], xmax[1]),
xlabel='latent dimension %i' % input_1, ylabel='latent dimension %i' % input_2, **imshow_kwargs)
if (labels is not None):
if (labels is not None) and legend:
legend = find_best_layout_for_subplots(len(np.unique(labels)))[1]
else:
labels = np.ones(self.num_data)