def test_plot_topomap_mne():
"Test plot.Topomap with MNE data"
ds = datasets.get_mne_sample(sub=[0, 1], sns=True)
p = plot.Topomap(ds['meg'].summary(time=(.1, .12)), proj='left')
p.close()
# grad
ds = datasets.get_mne_sample(sub=[0], sns='grad')
with pytest.raises(NotImplementedError), pytest.warns(RuntimeWarning):
plot.Topomap('meg.sub(time=.1)', ds=ds)
def test_plot_topomap():
"Test plot.Topomap"
plot.configure_backend(False, False)
ds = datasets.get_rand(utsnd=True)
topo = ds.eval('utsnd.summary(time=(0.075, 0.125))')
p = plot.Topomap(topo, ds=ds)
p.close()
p = plot.Topomap(topo, ds=ds, vmax=0.2, w=2)
p.close()
p = plot.Topomap(topo, 'A%B', ds=ds, axw=2)
p.close()
def test_plot_topomap():
"Test plot.Topomap"
ds = datasets.get_uts(utsnd=True)
topo = ds.eval('utsnd.summary(time=(0.075, 0.125))')
p = plot.Topomap(topo, ds=ds, show=False)
p.close()
p = plot.Topomap(topo, ds=ds, vmax=0.2, w=2, show=False)
p.close()
p = plot.Topomap(topo, 'A%B', ds=ds, axw=2, show=False)
p.close()
p = plot.Topomap(topo, ds=ds, sensorlabels=None, show=False)
p.close()
def sensor_results(
ress: ResultCollection,
heading: FMTextArg = None,
axw: float = None,
vmax: float = None,
cmap: str = None,
):
"Only used for TRFExperiment model-test"
if heading is not None:
doc = fmtxt.Section(heading)
else:
doc = fmtxt.FMText()
# table
doc.append(fmtxt.Figure(ress.table(title='Model test')))
# plots tests
topographies = [res.masked_difference() for res in ress.values()]
if vmax is None:
vlims = plot._base.find_fig_vlims([topographies], vmax)
_, vmax = vlims.pop(None)
panels = []
for (x, res), y in zip(ress.items(), topographies):
title = [x, fmtxt.Stars.from_p(res.p.min())]
p = plot.Topomap(y, cmap=cmap, vmax=vmax, title=title, axw=axw, show=False, clip='circle')
panels.append(p.image())
p.close()
doc.append(fmtxt.Figure(fmtxt.FloatingLayout(panels)))
return doc
def test_plot_topomap_mne():
"Test plot.Topomap with MNE data"
ds = datasets.get_mne_sample(sub=[0, 1], sns=True)
p = plot.Topomap(ds['meg'].summary(time=(.1, .12)),
proj='left',
show=False)
p.close()
def test_plot_topomap():
"Test plot.Topomap"
ds = datasets.get_uts(utsnd=True)
topo = ds.eval('utsnd.summary(time=(0.075, 0.125))')
p = plot.Topomap(topo, ds=ds)
p.add_contour('V', 1, '#00FF00')
p.close()
p = plot.Topomap(topo, ds=ds, vmax=0.2, w=2)
p.close()
p = plot.Topomap(topo, 'A%B', ds=ds, axw=2)
p.close()
p = plot.Topomap(topo, ds=ds, sensorlabels=None)
p.close()
index = np.array([1, 3, 2])
p = plot.Topomap(topo[index], '.case', nrow=1, axh=2, h=2.4, axtitle=index)
p.close()
def test_plot_topomap_mne():
"Test plot.Topomap with MNE data"
ds = datasets.get_mne_sample(sub=[0, 1], sns=True)
p = plot.Topomap(ds['meg'].summary(time=(.1, .12)), proj='left', show=False)
p.close()
# grad
ds = datasets.get_mne_sample(sub=[0], sns='grad')
assert_raises(NotImplementedError, plot.Topomap, 'meg.sub(time=.1)', ds=ds, show=False)