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[plotting] tests now compare the arrays of the figure, instead of the platform dependend png images

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Max Zwiessele 2016-04-12 08:44:48 +01:00
parent 2f901a90e2
commit 108ae55fbc
78 changed files with 97 additions and 30 deletions
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14
GPy/plotting/gpy_plot/latent_plots.py
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@ -112,7 +112,7 @@ def plot_latent_inducing(self,
which_indices=None,
legend=False,
plot_limits=None,
marker='^',
marker=None,
num_samples=1000,
projection='2d',
**kwargs):
@ -124,16 +124,18 @@ def plot_latent_inducing(self,
:param bool legend: whether to plot the legend on the figure
:param plot_limits: the plot limits for the plot
:type plot_limits: (xmin, xmax, ymin, ymax) or ((xmin, xmax), (ymin, ymax))
:param str marker: markers to use - cycle if more labels then markers are given
:param str marker: marker to use [default is custom arrow like]
:param kwargs: the kwargs for the scatter plots
"""
canvas, projection, kwargs, sig_dims = _new_canvas(self, projection, kwargs, which_indices)
Z = self.Z.values
labels = np.array(['inducing'] * Z.shape[0])
kwargs['marker'] = marker
if legend: label = 'inducing'
else: label = None
if marker is not None:
kwargs['marker'] = marker
update_not_existing_kwargs(kwargs, pl().defaults.inducing_2d) # @UndefinedVariable
scatters = _plot_latent_scatter(canvas, Z, sig_dims, labels, num_samples=num_samples, projection=projection, **kwargs)
from .data_plots import _plot_inducing
scatters = _plot_inducing(self, canvas, sig_dims[:2], projection, label, num_samples=num_samples, **kwargs)
return pl().add_to_canvas(canvas, dict(scatter=scatters), legend=legend)